Gopal S. Tandel

12 total papers · 979 total citations
7 papers, 611 citations indexed

About

Gopal S. Tandel is a scholar working on Neurology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Gopal S. Tandel has authored 7 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Gopal S. Tandel's work include Brain Tumor Detection and Classification (7 papers), Advanced Neural Network Applications (5 papers) and AI in cancer detection (3 papers). Gopal S. Tandel is often cited by papers focused on Brain Tumor Detection and Classification (7 papers), Advanced Neural Network Applications (5 papers) and AI in cancer detection (3 papers). Gopal S. Tandel collaborates with scholars based in India, Italy and United States. Gopal S. Tandel's co-authors include Ashish Tiwari, O. G. Kakde, Jasjit S. Suri, Narendra N. Khanna, Luca Saba, Antonella Balestrieri, John R. Laird, Mainak Biswas, Harman S. Suri and B. Kiran Madhusudhan and has published in prestigious journals such as Cancers, Computers in Biology and Medicine and Biomedical Signal Processing and Control.

In The Last Decade

Gopal S. Tandel

7 papers receiving 590 citations

Hit Papers

A Review on a Deep Learni... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Gopal S. Tandel 425 313 206 199 67 7 611
Shokofeh Anari 263 0.6× 318 1.0× 197 1.0× 203 1.0× 70 1.0× 10 617
Oskar Maier 187 0.4× 218 0.7× 166 0.8× 81 0.4× 85 1.3× 12 616
Nelly Gordillo 362 0.9× 361 1.2× 123 0.6× 85 0.4× 42 0.6× 12 506
Ivana Despotović 228 0.5× 295 0.9× 189 0.9× 86 0.4× 56 0.8× 16 583
Sarmad Maqsood 209 0.5× 304 1.0× 222 1.1× 288 1.4× 54 0.8× 19 682
Parnian Afshar 296 0.7× 269 0.9× 376 1.8× 320 1.6× 57 0.9× 19 692
Nadia Gul 359 0.8× 259 0.8× 185 0.9× 315 1.6× 42 0.6× 13 666
Shuangliang Cao 465 1.1× 428 1.4× 174 0.8× 263 1.3× 53 0.8× 11 619
Jainy Sachdeva 386 0.9× 406 1.3× 124 0.6× 161 0.8× 39 0.6× 19 590
Eloy Roura 224 0.5× 295 0.9× 206 1.0× 101 0.5× 74 1.1× 18 662

Countries citing papers authored by Gopal S. Tandel

Since Specialization
Citations

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

Fields of papers citing papers by Gopal S. Tandel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gopal S. Tandel. 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 Gopal S. Tandel. The network helps show where Gopal S. Tandel may publish in the future.

Co-authorship network of co-authors of Gopal S. Tandel

This figure shows the co-authorship network connecting the top 25 collaborators of Gopal S. Tandel. A scholar is included among the top collaborators of Gopal S. Tandel 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 Gopal S. Tandel. Gopal S. Tandel 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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