Atul Kumar

2.1k total citations · 1 hit paper
49 papers, 695 citations indexed

About

Atul Kumar is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Atul Kumar has authored 49 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Atul Kumar's work include Natural Language Processing Techniques (5 papers), Service-Oriented Architecture and Web Services (4 papers) and Immune Response and Inflammation (4 papers). Atul Kumar is often cited by papers focused on Natural Language Processing Techniques (5 papers), Service-Oriented Architecture and Web Services (4 papers) and Immune Response and Inflammation (4 papers). Atul Kumar collaborates with scholars based in India, United States and Canada. Atul Kumar's co-authors include Jindong Tan, Ken Okumura, Stephan Willems, Harvey Serota, Richard J. Schilling, Stefan H. Hohnloser, Marc A. Brouwer, Massimo Grimaldi, Hugh Calkins and Matias Nordaby and has published in prestigious journals such as New England Journal of Medicine, The Journal of Immunology and Scientific Reports.

In The Last Decade

Atul Kumar

40 papers receiving 654 citations

Hit Papers

Uninterrupted Dabigatran versus Warfarin for Ablation in ... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Atul Kumar India 12 263 126 72 72 72 49 695
G. Ritter Germany 18 49 0.2× 14 0.1× 26 0.4× 261 3.6× 32 0.4× 71 996
W. Eric Wong United States 15 32 0.1× 94 0.7× 7 0.1× 52 0.7× 22 0.3× 32 678
Kenichiro Yamamura Japan 16 105 0.4× 25 0.2× 2 0.0× 84 1.2× 23 0.3× 84 805
Puneet Aggarwal India 12 74 0.3× 32 0.3× 4 0.1× 53 0.7× 12 0.2× 94 578
Matthew Greig United Kingdom 7 46 0.2× 22 0.2× 7 0.1× 40 0.6× 18 0.3× 9 451
S. Emmanuel Australia 12 172 0.7× 66 0.5× 3 0.0× 30 0.4× 9 0.1× 47 554
Siye Wang China 10 72 0.3× 29 0.2× 232 3.2× 150 2.1× 40 547
Alex Roederer United States 3 28 0.1× 82 0.7× 1 0.0× 31 0.4× 88 1.2× 8 912
Imtiaz Ahmed United States 21 54 0.2× 247 2.0× 1 0.0× 175 2.4× 37 0.5× 108 1.3k
Xiaoping Ye China 16 10 0.0× 26 0.2× 5 0.1× 119 1.7× 27 0.4× 79 818

Countries citing papers authored by Atul Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Atul Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atul Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Atul Kumar. A scholar is included among the top collaborators of Atul Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Atul Kumar. Atul Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yadav, Uma Shankar, et al.. (2025). Cross-border hydro-politics and resource security in the Yarlung Tsangpo-Brahmaputra basin: Challenges and policy imperatives. European Journal of Sustainable Development Research. 10(1). em0351–em0351.
2.
Ranganathan, David, et al.. (2025). Pulsed field ablation: The basics relating to effectiveness, durability, and safety. Progress in Cardiovascular Diseases. 91. 38–48. 1 indexed citations
4.
Kumar, Atul, et al.. (2024). Building an NLP based speech recognition technology for emergency call centers. AIP conference proceedings. 3170. 20029–20029.
5.
Sudarshan, E. C. G., et al.. (2024). Deep learning for the detection and classification of brain tumors using CNN. AIP conference proceedings. 3170. 20031–20031.
6.
Poli, Adi Narayana Reddy, Ian Tietjen, Nitesh Kumar Nandwana, et al.. (2024). Design of novel and highly selective SARS-CoV-2 main protease inhibitors. Antimicrobial Agents and Chemotherapy. 68(10). e0056224–e0056224. 2 indexed citations
7.
Miklavčič, Damijan, Atul Kumar, Bor Kos, et al.. (2024). Biophysics and electrophysiology of pulsed field ablation in normal and infarcted porcine cardiac ventricular tissue. Scientific Reports. 14(1). 32063–32063. 9 indexed citations
8.
Agarwal, Gaurav, Sachi Gupta, Rakesh Ahuja, & Atul Kumar. (2023). Multiprocessor task scheduling using multi-objective hybrid genetic Algorithm in Fog–cloud computing. Knowledge-Based Systems. 272. 110563–110563. 24 indexed citations
9.
Gupta, Amar, et al.. (2023). An Ambitious Approach to Smart Internet Voting System. 2. 792–797. 2 indexed citations
10.
Kumar, Atul, et al.. (2023). Open-source intelligence: a comprehensive review of the current state, applications and future perspectives in cyber security. Artificial Intelligence Review. 56(11). 12407–12438. 23 indexed citations
11.
Kumar, Atul, et al.. (2023). Brain Tumor Detection and Multi Classification Using GNB-Based Machine Learning Approach. International Journal on Recent and Innovation Trends in Computing and Communication. 11(10). 8–16. 1 indexed citations
12.
Kumar, Atul, et al.. (2022). IFN-γ transforms the transcriptomic landscape and triggers myeloid cell hyperresponsiveness to cause lethal lung injury. Frontiers in Immunology. 13. 1011132–1011132. 10 indexed citations
13.
Yu, Yangsheng, et al.. (2022). Improved Database Filtering Technology Enables More Efficient Ab Initio Design of Potent Peptides against Ebola Viruses. Pharmaceuticals. 15(5). 521–521. 7 indexed citations
14.
Kumar, Atul, et al.. (2021). IFN-γ Drives TNF-α Hyperproduction and Lethal Lung Inflammation during Antibiotic Treatment of Postinfluenza Staphylococcus aureus Pneumonia. The Journal of Immunology. 207(5). 1371–1376. 25 indexed citations
15.
Kumar, Atul, et al.. (2020). Management of unusual case of partial uterine prolapse in canine. Journal of Entomology and Zoology Studies. 8(6). 1101–1103.
16.
Kumar, Atul & Manasi Gyanchandani. (2018). A Comparative Survey on Privacy Preservation and Privacy Measuring Techniques in Data Publishing. 2. 1902–1906. 2 indexed citations
17.
Calkins, Hugh, Stephan Willems, Edward P. Gerstenfeld, et al.. (2017). Uninterrupted Dabigatran versus Warfarin for Ablation in Atrial Fibrillation. New England Journal of Medicine. 376(17). 1627–1636. 267 indexed citations breakdown →
18.
Kumar, Atul, et al.. (2012). IMAGE STEGANOGRAPHY USING LEAST SIGNIFICANT BIT WITH CRYPTOGRAPHY. Journal of Global Research in Computer Sciences. 3(3). 53–55. 21 indexed citations
19.
Lakkireddy, Dhanunjaya, Atul Kumar, David O. Martin, et al.. (2006). P4-93. Heart Rhythm. 3(5). S249–S249. 2 indexed citations
20.
Kumar, Atul, et al.. (2002). Componentxchange: An E-Exchange for Software Components.. 62–72. 5 indexed citations

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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