What is Zendy?

 Source: https://content.zendy.io/about/?

Zendy is an online platform created to provide individuals with access to scholarly research and literature. Zendy originates from the notion of building a more knowledgeable world, as there has never been a time where easy, affordable access to content has been more needed. 

Current scholarly databases exist behind crippling paywalls or require university facilitated access, which is a challenge for individuals across the globe not affiliated with institutions. Access to scientific publications is particularly troublesome in developing countries, where many universities cannot afford the subscription databases required for advancing research and studies.

Zendy is working to remove barriers from scholarly discovery to make academic literature affordable and accessible to everyone, all academic and non-academic professionals, students, and knowledge enthusiasts. 

We strive to build a world where:

• Scholarly discovery lives barrier-free.
• Every individual across the world has access to academic research and literature. 
• Individuals across the world can take evidence-based steps towards building a better tomorrow. 

Zendy is developed by Knowledge E in a growing collaboration with researchers, students, institutions, and publishers to facilitate the democratisation of knowledge. Discoverable, reliable, and trustworthy sources are crucial to learning and ultimately, a better quality of life. 

Join us on the journey of scholarly discovery!

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Publishing Research Support Documents in Open Access Platform to Improve Research Impact

 Source: https://figshare.com/articles/preprint/Publishing_Research_Support_Documents_in_Open_Access_Platform_to_Improve_Research_Impact/7806092

 

Ale Ebrahim, Nader; Ale Ebrahim, Nader; Bong, Yiibonn (2019): Publishing Research Support Documents in Open Access Platform to Improve Research Impact. figshare. Preprint. https://doi.org/10.6084/m9.figshare.7806092.v1

Research Visibility and Impact

 Source: https://guides.lib.uh.edu/RVI/impact/author

 

Author Impact

An author's impact on their field or discipline has traditionally been measured using the number of times they have published and the number of times their academic publications are cited by other researchers. Although the simplest way to demonstrate your impact is to create a list of your publications and the number of times they have been cited, numerous algorithms based on publication data have also been created. Below are some of the more common metrics and tools you can use to measure research impact.

Citation Counts

Simply put, citation counts are the number of times an article has been cited in other articles, books, or other sources. However the exact number is often difficult to determine because different sources (such as databases) search article references differently.  As a result the counts will differ from source to source.

H-index

The h-index, or Hirsch index, measures the impact of a particular scientist rather than a journal. "It is defined as the highest number of publications of a scientist that received h or more citations each while the other publications have not more than h citations each." 1 For example, a scholar with an h-index of 5 had published 5 papers, each of which has been cited by others at least 5 times. The links below will take you to other areas within this guide which explain how to find an author's h-index using specific platforms. 

NOTE: An individual's h-index may be very different in different databases. This is because the databases index different journals and cover different years. For instance, Scopus only considers work from 1996 or later, while the Web of Science calculates an h-index using all years that an institution has subscribed to. (So a Web of Science h-index might look different when searched through different institutions.)  

G-index

A newer metric proposed by Leo Egghe in 2006 in the g-index.  The g-index is an alternative for the h-index, which does not average the numbers of citations. The h-index only requires a minimum of n citations for the least-cited article in the set and thus ignores the citation count of very highly cited papers. Roughly, the effect is that h is the number of papers of a quality threshold that rises as h rises; g allows citations from higher-cited papers to be used to bolster lower-cited papers in meeting this threshold. Therefore, in all cases g is at least h, and is in most cases higher. However, unlike the h-index, the g-index saturates whenever the average number of citations for all published papers exceeds the total number of published papers.  It is worth noting that the g-index is not as widely accepted as the h-index, 

• 1 Schreiber, M. (2008). An empirical investigation of the g-index for 26 physicists in comparison with the h-index, the A-index, and the R-index. Journal of the American Society for Information Science and Technology, 59(9), 1513.

Find your h-index in Web of Science

The Citation Report feature displays bar charts for the number of items published each yea, the number of citations each year, the counts for the average number of citations per item, the number of citations per year per publication, average number of citations per year per publication, and the H-index.

For more information on building a Citation Report or read the Citation Report help page.

 

Researcher Profiles and Identifiers: Improving Research Visibility and Impact: Researcher Profiles

 Source: https://library.up.ac.za/c.php?g=1121585

Visibility of who?

• Researcher
• Research
• Supervised work
  • Masters (thesis/dissertations, datasets, articles…)
  • Doctoral (thesis/dissertations, datasets, articles...)
  • Step 4 in the ETD guidelines provide steps on how to improve thesis/dissertation visibility and impact  
• Co-authors and their co-authors…
• Go through the Research(er) Visibility and Impact Checklist and spend some time updating your profile

 

Ways to increase visibility, impact, and citations of your published research  New ways of communicating scientific discoveries through open science platforms also known as academic profile platforms have emerged for storing, publishing, and disseminating research findings.  Researchers as well as research institutions embrace open access and make research as accessible and as open as possible to increase visibility and impact.  What do these research(er) profiling tools do? In the submission of annual progress reports, data on journal impact factors, citation scores, accumulative citations, article-level metrics, author-level metrics including altmetrics that quantify social media attention received by scientific work is extracted from Scopus, Web of Science and other profiling tools (Baheti & Bhargava, 2017).

Research Impact Marathon: Manage your research profile and increase your research impact

 Source: https://www.aub.edu.lb/Libraries/News/Pages/ResearchImpactMarathon.aspx

• Create and/or maintain a consistent researcher profile and ID (ORCID, Scopus​ and Google Scholar)
• Increase research discoverability by:
• minimizing name ambiguation
• maximizing social presence
  
• data sharing

Webinar on “How to Improve Research Visibility and Impact”

 Source: https://www.sct.edu.om/home/index.php/all-college-news/item/692-webinar-on-how-to-improve-research-visibility-and-impact

 

The Research and Consultancy Committee of the Business Studies Department has recently organized a webinar entitled “How to Improve Research Visibility and Impact” held on March 16, 2022 thru MS Teams. The resource person invited is a very reputable research expert, Dr.Nader Ale Ebrahim from Alzahra University with 137 publications and 234 citations credited to his name.

Dr.Nader discussed the effective techniques on how to improve research visibility and impact and how networking and engaging with stakeholders have been shown as successful ways of increasing the research visibility. He also emphasized on how research impact will contribute, benefit and influence society, culture, the environment and the economy. The resource speaker also highlighted that improving research visibility and accessibility will increase the researchers’ reputation and success in the academic work.

Dr.Ali Said Akaak moderated the online session and the faculty members of the Business Studies Department was very grateful to the R&C Committee and to the HOD Dr.Ghanim Shamas for his utmost support and commitment to enhance the research culture in the department.

Additional Info

• Academic Year: AY 2021-2022
• Semester: 2nd Semester

 

The Effect of STEM Project Based Learning on Self-Efficacy among High-School Physics Students

 Source: Ale Ebrahim, Nader; Samsudin, Mohd Ali; Jamali, Seyedh Mahboobeh; Zain, Ahmad Nurulazam Md (2020): The Effect of STEM Project Based Learning on Self-Efficacy among High-School Physics Students. figshare. Journal contribution. https://doi.org/10.6084/m9.figshare.12116388.v1

  

 

Science, Technology, Engineering and Mathematics (STEM) Project-Based Learning (PjBL) is increase effectiveness, create meaningful learning and influence student attitudes in future career pursuit. There are several studies in the literature reporting different aspects of STEM into a PjBL pedagogy. However, the effect of implementing STEM PjBL in terms of improving students’ skills in self-efficacy levels in physics mechanics at high school level has not been demonstrated as expected in the previous literature. This study followed a quasi-experimental research method. Bandura’s social cognitive theory is used to assess and compare the effect of STEM PjBL with conventional teaching method on students’ self-efficacy level in learning physics among over 100 high school students. The result illustrated that STEM PjBL improve students’ self-efficacy to solve physics problem. Also, the study proposes a guideline for future research.

Research Trends in Vernacular Architecture: A bibliometric study

 Source: Ale Ebrahim, Nader; Jamali, Seyedh Mahboobeh; Caldieron, Jean Martin; Benkari, Naima (2021): Research Trends in Vernacular Architecture: A bibliometric study. figshare. Journal contribution. https://doi.org/10.6084/m9.figshare.14607585.v1

 

Research about vernacular architecture is constantly evolving to include new building typologies, geographic regions, and new research approaches. The purpose of this paper is to examine the scientific literature in this field and identify the aspects and regions that might need investigation and the disciplines that can be involved in future research. A systematic analysis of published research about the topic was performed through a bibliometric methodology. Data related to more than 700 published articles was collected from the Web of Science and SCOPUS. Further computerized analysis was made to investigate the different characters of the collected data, such as the themes investigated, countries of the most published papers and the scientific fields involved in this research during the past 70 years. The results show that the published scientific literature about vernacular architecture is progressively expanding, specifically after the turn of the third millennium. Research about this topic is not confined within the Humanities anymore. Rather, it has extended to include the field of “hard” sciences as well. It is being invested by multidisciplinary and transdisciplinary approaches. The present research also reveals a shift in the center of production of scientific literature, about the vernacular architecture from North America to Asia. 

Quantitative and Qualitative Analysis of Time-Series Classification using Deep Learning

 Source: https://doi.org/10.6084/m9.figshare.13337249.v1

Time-series classification is utilized in a variety of applications leading to the development of many data mining techniques for time-series analysis. Among the broad range of time-series classification algorithms, recent studies are considering the impact of deep learning methods on time-series classification tasks. The quantity of related publications requires a bibliometric study to explore most prominent keywords, countries, sources and research clusters. The paper conducts a bibliometric analysis on related publications in time-series classification, adopted from Scopus database between 2010 and 2019. Through keywords co-occurrence analysis, a visual network structure of top keywords in time-series classification research has been produced and deep learning has been introduced as the most common topic by additional inquiry of the bibliography. The paper continues by exploring the publication trends of recent deep learning approaches for time-series classification. The annual number of publications, the productive and collaborative countries, the growth rate of sources, the most occurred keywords and the research collaborations are revealed from the bibliometric analysis within the study period. The research field has been broken down into three main categories as different frameworks of deep neural networks, different applications in remote sensing and also in signal processing for time-series classification tasks. The qualitative analysis highlights the categories of top citation rate papers by describing them in details.

 Source: http://eprints.rclis.org/42238/

Role of Libraries in Enhancing the Research Visibility and Collaboration of Academics

Gireesh Kumar, T. K. Role of Libraries in Enhancing the Research Visibility and Collaboration of Academics., 2020 . In 3rd National Virtual Conference on Reinventing Excellence in Librarianship, LIS Academy Virtual Conference 3rd LISACON-2020, University of Hyderabad, 27-30 August 2020. [Conference paper]

Text Role of Libraries in Enhancing the Research Visibility and Collaboration of Academics.pdf Download (921kB) | Preview

English abstract

Promoting collaboration among the academics can improve the quality and visibility of research at global level. This paper discusses publication strategies that can help to achieve maximum research visibility and enhance the chances of collaboration among the academic and research community. Also presents how research and publication marketing tools such as Researcher Identifiers and Profiles, Academic Social Networking Sites, Online Reference Management Tools, Blogging and Online Magazines, Personal or Institutional Websites and Open Repository System can support in disseminating the scholarly publications for its optimal visibility. Stresses the role of librarians in guiding the academic and research community to use publication marketing tools, which can improve the visibility of their research and help them to create collaborative networks

Item type:	Conference paper
Keywords:	Scholarly publications, research visibility, research collaboration, researcher identifier, researcher profile, publication marketing tool.
Subjects:	A. Theoretical and general aspects of libraries and information. > AC. Relationship of LIS with other fields . B. Information use and sociology of information > BJ. Communication E. Publishing and legal issues. > ED. Intellectual property: author's rights, ownership, copyright, copyleft, open access. H. Information sources, supports, channels. > HR. Portals. H. Information sources, supports, channels. > HT. Web 2.0, Social networks
Depositing user:	Dr. Gireesh Kumar T. K.
Date deposited:	09 Jul 2021 04:50
Last modified:	18 Jul 2021 09:51
URI:	http://hdl.handle.net/10760/42238

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References

Ale Ebrahim, Nader (2017). Increasing the visibility of your research. Retrieved from https://researchtoolsbox.blogspot.com/2017/01/increasing visibility-of-your-research.html

Ale Ebrahim, Nader. (2015). Strategies to Enhance Research Visibility, Impact and Citations. DOI:10.6084/m9.figshare.1404937.

Ale Ebrahim, Nader. (2016). Document publishing tools for research visibility improvement. DOI:10.6084/m9.figshare.3498812.v1.

Ale Ebrahim, Nader. (2016). The use of reference management tools to improve citation. DOI:10.6084/m9.figshare.3507407.v1.

Ale Ebrahim, Nader. (2017). Improving Research Visibility Part 1: Academic Search Engine Optimization. DOI:10.6084/m9.figshare.4884275.v1.

Gireesh Kumar (2019). Distinguish Yourself from Someone: Role of Researcher Profiles in the Academic Environment. In proceedings of TEQIP III Sponsored International Conference on Digital Technologies and Transformation in Academic Libraries(DigiTTAL-2019), National Institute of Technology, Karnataka (NITK), during December 26-28, 2019 at NIT Surathkal, Mangalore, Karnataka, Vol. 1 pp.292-301 (ISBN: 978-81-941940-0-2)

Gireesh Kumar and Muruli (2017). Researcher identifiers and profiles: Community standard networks to enhance global collaboration. The Journal of Indian Library Association (JILA), 53(2&3), p61-71.

Helsinki University. (2020) Research Visibility and Altmetrics: Research Visibility. Retrieved from https://libraryguides.helsinki.fi/researchvisibility/visibility

Nader Ale Ebrahim. (2020). Online Reference Management Tools for Improving Research Visibility and Impact” 6th Series of Introductory Workshop on Strategies to Enhance Research Visibility, Impact and Citations. Retrieved from http://works.bepress.com/aleebrahim/222/

University of Malaya. (2020). Increasing visibility and enhancing impact of research. Retrieved from https://phys.org/news/2017-04-visibility impact.html