Gopal S. Tandel

994 total citations · 1 hit paper
7 papers, 623 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 623 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 Slovenia. Gopal S. Tandel's co-authors include O. G. Kakde, Ashish Tiwari, Jasjit S. Suri, Narendra N. Khanna, Luca Saba, Antonella Balestrieri, B. Kiran Madhusudhan, Harman S. Suri, Mainak Biswas and Luca Saba 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 602 citations

Hit Papers

A Review on a Deep Learning Perspective in Brain Cancer C... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gopal S. Tandel India 5 433 319 210 201 72 7 623
B. Kiran Madhusudhan India 3 192 0.4× 136 0.4× 114 0.5× 92 0.5× 35 0.5× 5 322
Eloy Roura Spain 11 226 0.5× 297 0.9× 208 1.0× 101 0.5× 73 1.0× 18 666
Ujjwal Baid India 11 138 0.3× 150 0.5× 301 1.4× 127 0.6× 37 0.5× 23 494
Sandra González-Villà Spain 8 222 0.5× 278 0.9× 190 0.9× 116 0.6× 69 1.0× 11 551
Alexander Hubert Germany 5 136 0.3× 186 0.6× 145 0.7× 93 0.5× 37 0.5× 8 380
Rachida Saouli Algeria 5 235 0.5× 232 0.7× 107 0.5× 85 0.4× 38 0.5× 13 343
Syed M. S. Reza United States 9 302 0.7× 264 0.8× 124 0.6× 120 0.6× 32 0.4× 18 423
Changhong Liang China 9 94 0.2× 95 0.3× 155 0.7× 96 0.5× 83 1.2× 25 380
Nelly Gordillo Mexico 5 364 0.8× 360 1.1× 124 0.6× 85 0.4× 43 0.6× 12 511
Ayelet Akselrod-Ballin Israel 11 72 0.2× 162 0.5× 228 1.1× 181 0.9× 52 0.7× 20 516

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

7 of 7 papers shown
1.
Tandel, Gopal S., et al.. (2025). Multi-Class Brain Tumor Grades Classification Using a Deep Learning-Based Majority Voting Algorithm and Its Validation Using Explainable-AI. Journal of Imaging Informatics in Medicine. 38(5). 2793–2830. 1 indexed citations
2.
Tandel, Gopal S., Ashish Tiwari, O. G. Kakde, et al.. (2023). Role of Ensemble Deep Learning for Brain Tumor Classification in Multiple Magnetic Resonance Imaging Sequence Data. Diagnostics. 13(3). 481–481. 48 indexed citations
3.
Tandel, Gopal S., Ashish Tiwari, & O. G. Kakde. (2022). Performance enhancement of MRI-based brain tumor classification using suitable segmentation method and deep learning-based ensemble algorithm. Biomedical Signal Processing and Control. 78. 104018–104018. 22 indexed citations
5.
Tandel, Gopal S., Ashish Tiwari, & O. G. Kakde. (2021). Performance optimisation of deep learning models using majority voting algorithm for brain tumour classification. Computers in Biology and Medicine. 135. 104564–104564. 75 indexed citations
6.
Tandel, Gopal S., et al.. (2020). Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm. Computers in Biology and Medicine. 122. 103804–103804. 165 indexed citations
7.
Tandel, Gopal S., Mainak Biswas, O. G. Kakde, et al.. (2019). A Review on a Deep Learning Perspective in Brain Cancer Classification. Cancers. 11(1). 111–111. 309 indexed citations breakdown →

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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