Anand Kumar

969 citations
55 papers · 504 · h-index 11

Impact in

Papers in

Anand Kumar

49 papers receiving 475 citations

Peers

Anand Kumar
Comparison fields: 5 of 97
  • Software 65
  • Hardware and Architecture 60
  • Computer Networks and Communications 162
  • Rehabilitation 48
  • Safety, Risk, Reliability and Quality 58
Replace Mauro Caporuscio with:
Mauro Caporuscio Italy
Ismael Rodrı́guez Spain
Yangtao Wang China
Mohsen Jahanshahi Iran
Peter Vrancx Belgium
Muhammad Zohaib Iqbal Pakistan
Xiaoxing Ma China
Zeyu Mao United States
Fang Tu United States
Anand Kumar relative to Mauro Caporuscio Italy Mauro Caporuscio's profile →
Citations per field
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Citations per year

Countries citing papers authored by Anand Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Anand Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199592
2 202389
3 199344
4 198832
5 201429
6 202020
7 201616
8 201413
9 201913
10 202312
11 201712
12 201310
13 202110
14 20139
15 20229
16 20108
17 20146
18 20026
19 20145
20 20144

About Anand Kumar

Anand Kumar is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Software and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 504 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (9 papers), Reliability and Maintenance Optimization (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Data Management and Algorithms (4 papers), Advanced Database Systems and Queries (4 papers), Distributed and Parallel Computing Systems (4 papers), Advanced Data Storage Technologies (4 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Software (65 citations), Hardware and Architecture (60 citations), Computer Networks and Communications (162 citations), Rehabilitation (48 citations) and Safety, Risk, Reliability and Quality (58 citations). Anand Kumar has collaborated with scholars based in United States, India and United Arab Emirates. Frequent co-authors include Dharma P. Agrawal, Y.P. Gupta, Yi-Cheng Tu, Monika Vats, Indra Bahadur, Seema R. Pathak, S. Rai, Di Yu, Hao Li and Xingquan Zhu. Their work appears in journals such as IEEE Transactions on Reliability, IEEE Transactions on Knowledge and Data Engineering, IEEE Journal on Selected Areas in Communications, Indian Journal of Science and Technology and Indian Journal of Anaesthesia.

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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