V. Pattabiraman

88 total papers · 613 total citations
30 papers, 334 citations indexed

About

V. Pattabiraman is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, V. Pattabiraman has authored 30 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Information Systems and 6 papers in Computer Networks and Communications. Recurrent topics in V. Pattabiraman's work include Brain Tumor Detection and Classification (4 papers), Data Mining Algorithms and Applications (4 papers) and AI in cancer detection (3 papers). V. Pattabiraman is often cited by papers focused on Brain Tumor Detection and Classification (4 papers), Data Mining Algorithms and Applications (4 papers) and AI in cancer detection (3 papers). V. Pattabiraman collaborates with scholars based in India, Saudi Arabia and United Arab Emirates. V. Pattabiraman's co-authors include R. Parvathi, Ishita Dasgupta, Thavavel Vaiyapuri, Abir Hussain, Haya Alaskar, Akshay Kumar, Mangayarkarasi Ramaiah, R. Sivakumar, N.C. Saxena and Anoop Kumar Mishra and has published in prestigious journals such as Scientific Reports, Applied Sciences and Computers & Electrical Engineering.

In The Last Decade

V. Pattabiraman

22 papers receiving 306 citations

Hit Papers

Comparative analysis of d... 2021 2026 2022 2024 2021 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
V. Pattabiraman 103 85 41 41 30 30 334
Gültekin Işık 53 0.5× 132 1.6× 33 0.8× 34 0.8× 20 0.7× 22 336
Yasser A. Ali 55 0.5× 76 0.9× 30 0.7× 39 1.0× 26 0.9× 25 398
Vrince Vimal 66 0.6× 127 1.5× 30 0.7× 26 0.6× 31 1.0× 43 401
C. Senthilkumar 74 0.7× 62 0.7× 41 1.0× 21 0.5× 37 1.2× 50 392
Zuguo Chen 93 0.9× 70 0.8× 10 0.2× 20 0.5× 19 0.6× 29 322
Jose Martin Z. Maningo 158 1.5× 62 0.7× 24 0.6× 17 0.4× 12 0.4× 30 356
Fahmid Al Farid 90 0.9× 79 0.9× 56 1.4× 14 0.3× 12 0.4× 47 380
Maytham N. Meqdad 35 0.3× 86 1.0× 36 0.9× 27 0.7× 59 2.0× 29 324
Kiran Kumari Patil 88 0.9× 52 0.6× 37 0.9× 11 0.3× 64 2.1× 47 386
D. Vijendra Babu 76 0.7× 89 1.0× 10 0.2× 27 0.7× 60 2.0× 61 377

Countries citing papers authored by V. Pattabiraman

Since Specialization
Citations

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

Fields of papers citing papers by V. Pattabiraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Pattabiraman

This figure shows the co-authorship network connecting the top 25 collaborators of V. Pattabiraman. A scholar is included among the top collaborators of V. Pattabiraman 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 V. Pattabiraman. V. Pattabiraman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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