Vinay Kumar

1.7k citations
65 papers · 731 indexed · h-index 14

Impact in

Papers in

Vinay Kumar

57 papers receiving 683 citations

Peers

Vinay Kumar
Comparison fields: 5 of 125
  • Software 70
  • Statistics, Probability and Uncertainty 96
  • Safety, Risk, Reliability and Quality 75
  • Artificial Intelligence 246
  • Information Systems 113
Replace Chris Johnson with:
Chris Johnson United Kingdom
Asaf Degani United States
Francisco Javier Díez Spain
Matthew L. Bolton United States
Alejandro Carrasco Spain
Anne S. Mavor United States
Thomas Vogel Switzerland
Yu Chen China
Debra G. Jones United States
Amy R. Pritchett United States
Vinay Kumar relative to Chris Johnson United Kingdom Chris Johnson's profile →
Citations per field
00.5×2.9×
Chris Johnson · 1×
Citations per year

Countries citing papers authored by Vinay Kumar

Since Specialization
Citations

This map shows the geographic impact of Vinay Kumar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vinay Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinay Kumar more than expected).

Fields of papers citing papers by Vinay Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vinay Kumar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vinay Kumar. The network helps show where Vinay Kumar may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Vinay Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vinay Kumar Line = papers co-authored together Vinay Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20243
3 20242
4 20244
5 20230
6 20234
7 202212
8 202124
9 202022
10 20208
11 202063
12 20206
13 202053
14 201824
15 201718
16 201713
17
Finding the unfound: Recovery of missing URLs through Internet Archive
20174
18 20152
19
PackPlay: Mining Semantic Data in Collaborative Games
20106
20
WebBANC: Building Semantically-Rich Annotated Corpora from Web User Annotations of Minority Languages
20093

About Vinay Kumar

Vinay Kumar is a scholar working on Software, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Family Practice and Management Information Systems, having authored 65 papers that have together received 731 indexed citations. Recurring topics across this work include Risk and Safety Analysis (13 papers), Software Reliability and Analysis Research (11 papers), Reliability and Maintenance Optimization (7 papers), Topic Modeling (3 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers), COVID-19 and Mental Health (3 papers), Web Data Mining and Analysis (3 papers) and Mental Health Treatment and Access (3 papers). The work is most often cited by research in Software (70 citations), Statistics, Probability and Uncertainty (96 citations), Safety, Risk, Reliability and Quality (75 citations), Artificial Intelligence (246 citations) and Information Systems (113 citations). Vinay Kumar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Vishwanath Bijalwan, Pinki Kumari, Lalit Kumar Singh, Vibhav Prakash Singh, Sanjay Kumar, Anil Kumar Tripathi, Pooja Singh, A. K. Pal, Nitesh Saxena and Binod Kumar Singh. Their work appears in journals such as Annals of Nuclear Energy, Expert Systems with Applications, IEEE Transactions on Computational Social Systems, IEEE Software and Soft Computing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026