P Kumar

1.3k total citations · 2 hit papers
35 papers, 764 citations indexed

About

P Kumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, P Kumar has authored 35 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in P Kumar's work include AI in cancer detection (5 papers), Medical Image Segmentation Techniques (4 papers) and IoT and Edge/Fog Computing (4 papers). P Kumar is often cited by papers focused on AI in cancer detection (5 papers), Medical Image Segmentation Techniques (4 papers) and IoT and Edge/Fog Computing (4 papers). P Kumar collaborates with scholars based in India, United States and Finland. P Kumar's co-authors include Balram Suman, Senthil Pandi S, Rakesh Kumar Mahendran, Arfat Ahmad Khan, Mani Srivastava, Muhammad Faheem, R. Santhosh, Anjali Sardana, Seifedine Kadry and S. Swetha and has published in prestigious journals such as Journal of the Operational Research Society, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Computers & Electrical Engineering.

In The Last Decade

P Kumar

28 papers receiving 720 citations

Hit Papers

A survey of simulated annealing as a tool for single and ... 2005 2026 2012 2019 2005 2024 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P Kumar India 11 161 134 102 86 83 35 764
Elias B. Khalil Canada 12 294 1.8× 119 0.9× 127 1.2× 50 0.6× 86 1.0× 27 892
Lidong Wang China 15 181 1.1× 103 0.8× 52 0.5× 128 1.5× 88 1.1× 67 745
Jincai Huang China 13 278 1.7× 90 0.7× 122 1.2× 53 0.6× 142 1.7× 60 848
Tayfun Küçükyılmaz Türkiye 7 423 2.6× 127 0.9× 96 0.9× 166 1.9× 87 1.0× 13 829
Miren Nekane Bilbao Spain 12 365 2.3× 94 0.7× 105 1.0× 105 1.2× 80 1.0× 35 774
Ibrahim Elhenawy Egypt 14 263 1.6× 80 0.6× 123 1.2× 63 0.7× 200 2.4× 95 756
Yulian Cao China 13 276 1.7× 330 2.5× 125 1.2× 136 1.6× 59 0.7× 29 924
Chao-Lung Yang Taiwan 13 207 1.3× 143 1.1× 38 0.4× 31 0.4× 122 1.5× 56 615
Ender Sevinç Türkiye 8 488 3.0× 136 1.0× 125 1.2× 203 2.4× 120 1.4× 18 946
Khalid Almohammadi Saudi Arabia 9 203 1.3× 51 0.4× 44 0.4× 42 0.5× 58 0.7× 23 648

Countries citing papers authored by P Kumar

Since Specialization
Citations

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

Fields of papers citing papers by P Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of P Kumar. A scholar is included among the top collaborators of P 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 P Kumar. P 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.
Khan, Shakir, et al.. (2025). FedTinyMed: Federated learning enabled tiny multi task machine learning model for smart healthcare monitoring for IoMT. Computers & Electrical Engineering. 128. 110761–110761.
3.
Kumar, P, Rakesh Kumar Mahendran, Arfat Ahmad Khan, & Seifedine Kadry. (2025). Tri‐M2MT: Multi‐modalities based effective acute bilirubin encephalopathy diagnosis through multi‐transformer using neonatal Magnetic Resonance Imaging. CAAI Transactions on Intelligence Technology. 10(2). 434–449. 10 indexed citations
5.
S, Senthil Pandi, et al.. (2024). Enhanced Classification of Oral Cancer Using Deep Learning Techniques. 1–5. 6 indexed citations
8.
Kumar, P, et al.. (2024). A Novel Approach for Face Generator Based on Emotions. 1–6. 2 indexed citations
9.
S, Senthil Pandi, et al.. (2024). Enhancing Carrot Quality Grading With Cloud Integration and Gradient Boosting. 1–6. 2 indexed citations
11.
S, Senthil Pandi, et al.. (2023). Lung Tumor Volumetric Estimation and Segmentation using Adaptive Multiple Resolution Contour Model. 18. 1–4. 34 indexed citations
13.
14.
15.
Kumar, P, et al.. (2023). Deep Learning and Computer Vision Approaches for Vehicular Safety Systems. 1–6. 1 indexed citations
16.
Kumar, P, et al.. (2022). Dead Stock Reduction using Association Rule Mining. 2022 7th International Conference on Communication and Electronics Systems (ICCES). 933–940. 3 indexed citations
17.
Kumar, P, et al.. (2021). A Survey on Traffic Management System Using IoT. Journal of Emerging Technologies and Innovative Research. 8(4). 51-56–51-56. 1 indexed citations
18.
Kumar, P, et al.. (2016). Multi Criteria based Task Scheduling in Cloud Environment. Asian Journal of Research in Social Sciences and Humanities. 6(11). 659–659. 1 indexed citations
19.
Kumar, P, et al.. (2013). AN APPROACH TO OPTIMIZE WORKFLOW SCHEDULING FOR CLOUD COMPUTING ENVIRONMENT. 14 indexed citations
20.
Sardana, Anjali, et al.. (2012). A light weight centralized file monitoring approach for securing files in Cloud environment. International Conference for Internet Technology and Secured Transactions. 382–387. 13 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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