Virendra Kumar

561 citations
21 papers · 369 · h-index 8

Impact in

Papers in

Virendra Kumar

21 papers receiving 355 citations

Peers

Virendra Kumar
Comparison fields: 5 of 87
  • Statistical and Nonlinear Physics 88
  • Modeling and Simulation 31
  • Computer Vision and Pattern Recognition 69
  • Transportation 18
  • Artificial Intelligence 84
Replace Xin Guo with:
Xin Guo China
Ji Liu United States
Hao Huang China
Shengzong Liu China
Zhongyuan Zhang China
Yujie Fan China
Paramjeet Singh India
Tan Yang China
Qing Cui China
Virendra Kumar relative to Xin Guo China Xin Guo's profile →
Citations per field
00.5×
Xin Guo · 1×
Citations per year

Countries citing papers authored by Virendra Kumar

Since Specialization
Citations

This map shows the geographic impact of Virendra 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 Virendra Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virendra Kumar more than expected).

Fields of papers citing papers by Virendra Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Virendra 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 Virendra Kumar. The network helps show where Virendra Kumar may publish in the future.

Co-authors

The 25 scholars most cited alongside Virendra 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 Virendra Kumar Line = papers co-authored together Virendra Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200991
2 200585
3 201246
4 201033
5 201727
6 201916
7 200610
8 20228
9 20227
10 20056
11 20155
12 20195
13 20074
14 20154
15
RH-5992--an ecdysone agonist on model system of the silkworm Bombyx mori.
20004
16 20174
17 20214
18 20193
19 20083
20 20242

About Virendra Kumar

Virendra Kumar is a scholar working on Artificial Intelligence, Computer Networks and Communications, Materials Chemistry, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 21 papers that have together received 369 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (3 papers), Scientific Computing and Data Management (3 papers), Complex Network Analysis Techniques (3 papers), Semantic Web and Ontologies (3 papers), Graph Theory and Algorithms (3 papers), Material Dynamics and Properties (2 papers), Additive Manufacturing Materials and Processes (2 papers) and Computational Physics and Python Applications (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (88 citations), Modeling and Simulation (31 citations), Computer Vision and Pattern Recognition (69 citations), Transportation (18 citations) and Artificial Intelligence (84 citations). Virendra Kumar has collaborated with scholars based in United States and India. Frequent co-authors include V. Kumaran, Madhav Marathe, Maleq Khan, Kareem S. Aggour, Christopher L. Barrett, Richard J. Beckman, Bryan Lewis, Paul Cuddihy, Ali R. Butt and Guanying Wang. Their work appears in journals such as Integrating materials and manufacturing innovation, Proceedings of the VLDB Endowment, Optik, The Journal of Chemical Physics and IEEE Open Access Journal of Power and Energy.

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.

Explore authors with similar magnitude of impact