Anshul Kumar

1.1k citations
100 papers · 822 · h-index 14

Impact in

Papers in

Anshul Kumar

88 papers receiving 758 citations

Peers

Anshul Kumar
Comparison fields: 5 of 55
  • Hardware and Architecture 494
  • Computer Networks and Communications 322
  • Electrical and Electronic Engineering 347
  • Computer Vision and Pattern Recognition 115
  • Software 22
Replace Armando Astarloa with:
Armando Astarloa Spain
Diana Göhringer Germany
Juanjo Noguera United States
Eduardo de la Torre Spain
Jaewook Shin South Korea
Edna Barros Brazil
Jongsok Choi Canada
Aitzol Zuloaga Spain
Bart Mesman Netherlands
Unai Bidarte Spain
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Citations per field
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Citations per year

Countries citing papers authored by Anshul Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Anshul Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011116
2 200274
3 202063
4 200754
5 200429
6 200723
7 200219
8 200218
9 198617
10 198516
11 199816
12 200616
13 201015
14 200715
15 200013
16 200412
17 201012
18 200611
19 202211
20 200211

About Anshul Kumar

Anshul Kumar is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 100 papers that have together received 822 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (51 papers), Parallel Computing and Optimization Techniques (41 papers), Interconnection Networks and Systems (33 papers), VLSI and Analog Circuit Testing (20 papers), VLSI and FPGA Design Techniques (14 papers), Formal Methods in Verification (8 papers), Model-Driven Software Engineering Techniques (7 papers) and Low-power high-performance VLSI design (5 papers). The work is most often cited by research in Hardware and Architecture (494 citations), Computer Networks and Communications (322 citations), Electrical and Electronic Engineering (347 citations), Computer Vision and Pattern Recognition (115 citations) and Software (22 citations). Anshul Kumar has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include S. Balakrishnan, Huzur Saran, Manoj Jain, Vinay J. Ribeiro, Smruti R. Sarangi, Kolin Paul, Ahmed Hemani, B.K. Dwivedi, Johnny Öberg and Preeti Ranjan Panda. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Transactions on Design Automation of Electronic Systems, Journal of Systems Architecture, International Journal of Speech Technology and IEEE Consumer Electronics Magazine.

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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