Abhir Bhandary

13 total papers · 509 total citations
11 papers, 329 citations indexed

About

Abhir Bhandary is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Abhir Bhandary has authored 11 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Abhir Bhandary's work include Biometric Identification and Security (3 papers), Face recognition and analysis (2 papers) and Chaos-based Image/Signal Encryption (2 papers). Abhir Bhandary is often cited by papers focused on Biometric Identification and Security (3 papers), Face recognition and analysis (2 papers) and Chaos-based Image/Signal Encryption (2 papers). Abhir Bhandary collaborates with scholars based in India, United States and Portugal. Abhir Bhandary's co-authors include David E. Robbins, Palani Thanaraj Krishnan, V. Rajinikanth, João Manuel R. S. Tavares, N. Sri Madhava Raja, Suresh Chandra Satapathy, Yudong Zhang, G. Ananth Prabhu and K. V. S. V. N. Raju and has published in prestigious journals such as Pattern Recognition Letters and arXiv (Cornell University).

In The Last Decade

Abhir Bhandary

9 papers receiving 288 citations

Hit Papers

Deep-learning framework t... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Abhir Bhandary 242 135 105 68 26 11 329
G. Ananth Prabhu 251 1.0× 144 1.1× 107 1.0× 61 0.9× 33 1.3× 9 334
Mohammad Khaleel Sallam Ma’aitah 174 0.7× 97 0.7× 60 0.6× 48 0.7× 15 0.6× 10 284
Kartik Thakral 227 0.9× 162 1.2× 53 0.5× 121 1.8× 11 0.4× 14 363
Maurice Samulski 158 0.7× 253 1.9× 65 0.6× 94 1.4× 15 0.6× 12 301
Tasmi Tamanna 300 1.2× 212 1.6× 48 0.5× 50 0.7× 17 0.7× 5 353
Aysen Degerli 160 0.7× 85 0.6× 29 0.3× 59 0.9× 15 0.6× 13 256
Yujia Xu 143 0.6× 95 0.7× 69 0.7× 41 0.6× 8 0.3× 11 277
Antônio Carlos da Silva Barros 173 0.7× 92 0.7× 81 0.8× 124 1.8× 63 2.4× 12 344
Juri Yanase 110 0.5× 128 0.9× 39 0.4× 52 0.8× 35 1.3× 10 302
Thi Kieu Khanh Ho 144 0.6× 96 0.7× 40 0.4× 37 0.5× 15 0.6× 14 269

Countries citing papers authored by Abhir Bhandary

Since Specialization
Citations

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

Fields of papers citing papers by Abhir Bhandary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhir Bhandary

This figure shows the co-authorship network connecting the top 25 collaborators of Abhir Bhandary. A scholar is included among the top collaborators of Abhir Bhandary 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 Abhir Bhandary. Abhir Bhandary 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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