Assessing Research Impact in Indian Conference Proceedings: Insights from Collaboration and Citations

• URL: http://arxiv.org/abs/2502.02997v1
• Date: Wed, 05 Feb 2025 08:45:36 GMT
• Title: Assessing Research Impact in Indian Conference Proceedings: Insights from Collaboration and Citations
• Authors: Kiran Sharma, Parul Khurana,
• Abstract summary: This investigation delves into the conference publications indexed by Springer's Lecture Notes in Networks and Systems Series. Among the 570 international conferences held worldwide in this series, 177 were exclusively hosted in India. The study aims to evaluate the research impact of these conference proceedings and identify the primary contributors.
• Score: 1.534667887016089
• License:
• Abstract: Conferences serve as a crucial avenue for scientific communication. However, the increase in conferences and the subsequent publication of proceedings have prompted inquiries regarding the research quality being showcased at such events. This investigation delves into the conference publications indexed by Springer's Lecture Notes in Networks and Systems Series. Among the 570 international conferences held worldwide in this series, 177 were exclusively hosted in India. These 177 conferences collectively published 11,066 papers as conference proceedings. All these publications, along with conference details, were sourced from the Scopus database. The study aims to evaluate the research impact of these conference proceedings and identify the primary contributors. The results reveal a downward trend in the average number of citations per year. The collective average citation for all publications is 1.01. Papers co-authored by Indian and international authors (5.6%) exhibit a higher average impact of 1.44, in contrast to those authored solely by Indian authors (84.9%), which have an average impact of 0.97. Notably, Indian-collaborated papers, among the largest contributors, predominantly originate from private colleges and universities. Only 19% of papers exhibit collaboration with institutes of different prestige, yet their impact is considerably higher as compared to collaboration with institutes of similar prestige. This study highlights the importance of improving research quality in academic forums.

Related papers

• Publication Trends in Artificial Intelligence Conferences: The Rise of Super Prolific Authors [1.5998912722142724]
  We analyzed 87,137 papers from 11 AI conferences to examine publication trends over the past decade. Our findings reveal a consistent increase in both the number of papers and authors, reflecting the growing interest in AI research. In light of this analysis, the AI research community should consider revisiting authorship policies, addressing equity concerns, and evaluating the workload of junior researchers.
  arXiv  Detail & Related papers  (2024-11-28T06:56:49Z)
• Analysis of the ICML 2023 Ranking Data: Can Authors' Opinions of Their Own Papers Assist Peer Review in Machine Learning? [52.00419656272129]
  We conducted an experiment during the 2023 International Conference on Machine Learning (ICML) We received 1,342 rankings, each from a distinct author, pertaining to 2,592 submissions. We focus on the Isotonic Mechanism, which calibrates raw review scores using author-provided rankings.
  arXiv  Detail & Related papers  (2024-08-24T01:51:23Z)
• Position: AI/ML Influencers Have a Place in the Academic Process [82.2069685579588]
  We investigate the role of social media influencers in enhancing the visibility of machine learning research. We have compiled a comprehensive dataset of over 8,000 papers, spanning tweets from December 2018 to October 2023. Our statistical and causal inference analysis reveals a significant increase in citations for papers endorsed by these influencers.
  arXiv  Detail & Related papers  (2024-01-24T20:05:49Z)
• Estimating the Causal Effect of Early ArXiving on Paper Acceptance [56.538813945721685]
  We estimate the effect of arXiving a paper before the reviewing period (early arXiving) on its acceptance to the conference. Our results suggest that early arXiving may have a small effect on a paper's chances of acceptance.
  arXiv  Detail & Related papers  (2023-06-24T07:45:38Z)
• Forgotten Knowledge: Examining the Citational Amnesia in NLP [63.13508571014673]
  We show how far back in time do we tend to go to cite papers? How has that changed over time, and what factors correlate with this citational attention/amnesia? We show that around 62% of cited papers are from the immediate five years prior to publication, whereas only about 17% are more than ten years old. We show that the median age and age diversity of cited papers were steadily increasing from 1990 to 2014, but since then, the trend has reversed, and current NLP papers have an all-time low temporal citation diversity.
  arXiv  Detail & Related papers  (2023-05-29T18:30:34Z)
• How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions? [87.00095008723181]
  Authors have roughly a three-fold overestimate of the acceptance probability of their papers. Female authors exhibit a marginally higher (statistically significant) miscalibration than male authors. At least 30% of respondents of both accepted and rejected papers said that their perception of their own paper improved after the review process.
  arXiv  Detail & Related papers  (2022-11-22T15:59:30Z)
• Journal Impact Factor and Peer Review Thoroughness and Helpfulness: A Supervised Machine Learning Study [52.77024349608834]
  The journal impact factor (JIF) is often equated with journal quality and the quality of the peer review of the papers submitted to the journal. We examined the association between the content of peer review and JIF by analysing 10,000 peer review reports submitted to 1,644 medical and life sciences journals.
  arXiv  Detail & Related papers  (2022-07-20T11:14:15Z)
• Learning to Drive on the Wrong Side of the Road: How American Computing Came to Rely on Conferences for Primary Publication [1.0660480034605242]
  This paper presents the first systematic investigation of the development of modern computing publications. It relies on semi-structured interviews with eight computing professors from diverse backgrounds to understand how researchers experienced changes in publication culture over time.
  arXiv  Detail & Related papers  (2021-09-14T04:59:09Z)
• Does the Venue of Scientific Conferences Leverage their Impact? A Large Scale study on Computer Science Conferences [2.8388425545775386]
  We conducted a large scale analysis on the data extracted from 3,838 Computer Science conference series and over 2.5 million papers spanning more than 30 years of research. To quantify the "touristicity" of a venue we exploited some indicators such as the size of the Wikipedia page for the city hosting the venue and other indexes from reports of the World Economic Forum. More-over the almost linear correlation with the Tourist Service Infrastructure index attests the specific importance of tourist/accommodation facilities in a given country.
  arXiv  Detail & Related papers  (2021-05-31T09:51:39Z)
• Who's Who in the Information Technology Research in the Philippines A Social Network Analysis [0.0]
  This study reported the conference papers presented conducted by the two computing societies in the Philippines. There are 733 papers presented in the conference for the span of 18 years. On the average, both conferences had 27 papers presented annually. A researcher in the University of the Philippines-Diliman is the most prolific researcher with 39 publications and "algorithm" was the most researched topic.
  arXiv  Detail & Related papers  (2020-11-22T15:02:12Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.