Arkadeep Kumar

29 papers receiving 1.2k citations

Peers

Arkadeep Kumar
Comparison fields: 5 of 106
  • Water Science and Technology 294
  • Human-Computer Interaction 103
  • Biomedical Engineering 665
  • Energy Engineering and Power Technology 28
  • Industrial and Manufacturing Engineering 74
Replace Naif Mohammed Al‐Hada with:
Naif Mohammed Al‐Hada Malaysia
Magdalena E Osial Poland
Yefeng Liu China
Na Sun China
Lin Gong China
Andrei Shishkin Latvia
Shenghao Zhang China
Yongjing Wang China
Juyeon Park South Korea
Robin M. Smith United States
Arkadeep Kumar relative to Naif Mohammed Al‐Hada Malaysia Naif Mohammed Al‐Hada's profile →
Citations per field
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Naif Mohammed Al‐Hada · 1×
Citations per year

Countries citing papers authored by Arkadeep Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Arkadeep Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020197
2 2017138
3 2018125
4 201695
5 202093
6 201892
7 201763
8 202063
9 201760
10 202048
11 201932
12 201932
13 201732
14 201630
15 201823
16 201621
17 202012
18 20128
19 20138
20 20177

About Arkadeep Kumar

Arkadeep Kumar is a scholar working on Biomedical Engineering, Water Science and Technology, Mechanical Engineering, Materials Chemistry and Electrical and Electronic Engineering, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Surface Polishing Techniques (11 papers), Diamond and Carbon-based Materials Research (5 papers), Membrane-based Ion Separation Techniques (5 papers), Advanced machining processes and optimization (5 papers), Membrane Separation Technologies (5 papers), ICT in Developing Communities (4 papers), High voltage insulation and dielectric phenomena (3 papers) and Power Transformer Diagnostics and Insulation (3 papers). The work is most often cited by research in Water Science and Technology (294 citations), Human-Computer Interaction (103 citations), Biomedical Engineering (665 citations), Energy Engineering and Power Technology (28 citations) and Industrial and Manufacturing Engineering (74 citations). Arkadeep Kumar has collaborated with scholars based in United States, India and Taiwan. Frequent co-authors include Shreyes N. Melkote, Shu-Yuan Pan, Sheng‐Wei Wang, Andrew Z. Haddad, Aditya Vishwanath, Naveena Karusala, Shao-Wei Tsai, Chia‐Hung Hou, Marisol Wong-Villacrés and Neha Kumar. Their work appears in journals such as Journal of Applied Physics, Manufacturing Letters, Additive manufacturing, Proceedings of the ACM on Human-Computer Interaction and Environmental Science & Technology.

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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