Narinder Singh Punn

46 total papers · 1.2k total citations
13 papers, 317 citations indexed

About

Narinder Singh Punn is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Narinder Singh Punn has authored 13 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Narinder Singh Punn's work include AI in cancer detection (4 papers), Medical Image Segmentation Techniques (3 papers) and Brain Tumor Detection and Classification (3 papers). Narinder Singh Punn is often cited by papers focused on AI in cancer detection (4 papers), Medical Image Segmentation Techniques (3 papers) and Brain Tumor Detection and Classification (3 papers). Narinder Singh Punn collaborates with scholars based in India, United States and Indonesia. Narinder Singh Punn's co-authors include Sonali Agarwal, Imon Banerjee, Sanjay Kumar Sonbhadra, Bhavik N. Patel and P. Radha Krishna and has published in prestigious journals such as Neural Computing and Applications, Artificial Intelligence Review and Computers in Biology and Medicine.

In The Last Decade

Narinder Singh Punn

10 papers receiving 306 citations

Author Peers

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

Author Last Decade Papers Cites
Narinder Singh Punn 151 130 112 68 34 13 317
Mahsa Shakeri 163 1.1× 134 1.0× 80 0.7× 67 1.0× 65 1.9× 20 363
Hongchun Lu 163 1.1× 96 0.7× 119 1.1× 50 0.7× 37 1.1× 13 298
Lisa Di Jorio 133 0.9× 162 1.2× 102 0.9× 43 0.6× 74 2.2× 9 318
Shuo Li 125 0.8× 126 1.0× 101 0.9× 32 0.5× 55 1.6× 10 347
A. K. M. Rakibul Haque Rafid 105 0.7× 111 0.9× 139 1.2× 93 1.4× 24 0.7× 13 307
Abin Jose 107 0.7× 88 0.7× 79 0.7× 42 0.6× 33 1.0× 22 260
Zhuoyuan Li 86 0.6× 118 0.9× 99 0.9× 52 0.8× 34 1.0× 12 285
Intisar Rizwan I Haque 82 0.5× 135 1.0× 75 0.7× 45 0.7× 36 1.1× 6 315
Hanxue Gu 134 0.9× 133 1.0× 97 0.9× 37 0.5× 62 1.8× 11 355
Hossein Kashiani 172 1.1× 100 0.8× 139 1.2× 48 0.7× 29 0.9× 15 330

Countries citing papers authored by Narinder Singh Punn

Since Specialization
Citations

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

Fields of papers citing papers by Narinder Singh Punn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Narinder Singh Punn. 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 Narinder Singh Punn. The network helps show where Narinder Singh Punn may publish in the future.

Co-authorship network of co-authors of Narinder Singh Punn

This figure shows the co-authorship network connecting the top 25 collaborators of Narinder Singh Punn. A scholar is included among the top collaborators of Narinder Singh Punn 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 Narinder Singh Punn. Narinder Singh Punn 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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