Abhishek Kumar

18.3k citations
482 papers · 11.5k indexed · 7 hit papers · h-index 51

Abhishek Kumar

430 papers receiving 11.2k citations

Hit Papers

Beta-Gluc...442011202620162021250500750

Peers

Abhishek Kumar
Comparison fields: 5 of 207
  • Computational Mathematics 58
  • Computer Vision and Pattern Recognition 1.9k
  • Artificial Intelligence 2.5k
  • Polymers and Plastics 809
  • Computer Networks and Communications 1.3k
Replace Han Wang with:
Han Wang China
Yu Wang China
Andrew R. Barron United States
M. Jamal Deen Canada
Dongbin Zhao China
Yun Liang China
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Abhishek Kumar relative to Han Wang China Han Wang's profile →
Citations per field
00.5×3.3×
Han Wang · 1×
Citations per year

Countries citing papers authored by Abhishek Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Abhishek Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20244
4 20240
5 20245
6 20242
7 20240
8
Beta-Glucan as a Soluble Dietary Fiber Source: Origins, Biosynthesis, Extraction, Purification, Structural Characteristics, Bioavailability, Biofunctional Attributes, Industrial Utilization, and Global Tradebreakdown →
202444
9 20231
10 20232
11 20230
12 20239
13 202040
14 20192
15 2018263
16 201752
17
Dual-Gate Self-Aligned a-IGZO TFTs using 5-Mask Steps
20153
18 20150
19 20152
20 201518

About Abhishek Kumar

Abhishek Kumar is a scholar working on Toxicology, Fuel Technology and Organic Chemistry, having authored 482 papers that have together received 11.5k indexed citations. Recurring topics across this work include Synthesis and biological activity (36 papers), Luminescence Properties of Advanced Materials (23 papers), Nonlinear Optical Materials Research (20 papers), Internet Traffic Analysis and Secure E-voting (19 papers), Network Traffic and Congestion Control (17 papers), Radiation Detection and Scintillator Technologies (15 papers), Synthesis and Characterization of Heterocyclic Compounds (13 papers) and Advanced machining processes and optimization (13 papers). The work is most often cited by research in Computational Mathematics (58 citations), Computer Vision and Pattern Recognition (1.9k citations) and Artificial Intelligence (2.5k citations). Abhishek Kumar has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Hal Daumé, Piyush Rai, Jun Xu, Vishvesh Badheka, Rogério Feris, Seeram Ramakrishna, Vivek Patel, Richard H. Friend, Akshay Rao and Rajan Jose. Their work appears in journals such as Polycyclic aromatic compounds, Applied Physics Letters, Solar Energy, Optical Materials and New Journal of Chemistry.

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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