Tamoghna Roy

1.6k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

Tamoghna Roy is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Tamoghna Roy has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Electrical and Electronic Engineering and 4 papers in Signal Processing. Recurrent topics in Tamoghna Roy's work include Wireless Signal Modulation Classification (4 papers), Speech and Audio Processing (2 papers) and Advanced MIMO Systems Optimization (2 papers). Tamoghna Roy is often cited by papers focused on Wireless Signal Modulation Classification (4 papers), Speech and Audio Processing (2 papers) and Advanced MIMO Systems Optimization (2 papers). Tamoghna Roy collaborates with scholars based in United States, Australia and India. Tamoghna Roy's co-authors include Timothy J. O’Shea, T. Charles Clancy, Nathan West, Tugba Erpek, Tim O’Shea, Şennur Ulukuş, A.A. Beex, D. N. Raychaudhuri, Homero Murzi and Tamara Knott and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, arXiv (Cornell University) and World Scientific News.

In The Last Decade

Tamoghna Roy

10 papers receiving 1.0k citations

Hit Papers

Over-the-Air Deep Learnin... 2018 2026 2020 2023 2018 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamoghna Roy United States 6 943 394 264 178 147 15 1.1k
Shengliang Peng China 10 758 0.8× 289 0.7× 246 0.9× 210 1.2× 135 0.9× 42 982
Fanggang Wang China 14 460 0.5× 204 0.5× 331 1.3× 97 0.5× 118 0.8× 42 722
Peihan Qi China 16 494 0.5× 302 0.8× 382 1.4× 69 0.4× 153 1.0× 55 1.1k
William C. Headley United States 14 289 0.3× 160 0.4× 282 1.1× 66 0.4× 100 0.7× 53 594
Elsayed Elsayed Azzouz United Kingdom 8 1.3k 1.3× 569 1.4× 283 1.1× 518 2.9× 395 2.7× 10 1.3k
S.S. Soliman United States 13 476 0.5× 292 0.7× 688 2.6× 191 1.1× 214 1.5× 45 1.1k
Kunal Sankhe United States 12 860 0.9× 319 0.8× 596 2.3× 29 0.2× 254 1.7× 21 1.2k
Hengtao He Hong Kong 14 668 0.7× 369 0.9× 1.3k 4.8× 62 0.3× 169 1.1× 37 1.6k
Fanggang Wang China 14 373 0.4× 233 0.6× 564 2.1× 30 0.2× 85 0.6× 62 829
Sebastian Dörner Germany 7 410 0.4× 123 0.3× 485 1.8× 39 0.2× 97 0.7× 15 685

Countries citing papers authored by Tamoghna Roy

Since Specialization
Citations

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

Fields of papers citing papers by Tamoghna Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamoghna Roy

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

All Works

15 of 15 papers shown
2.
O’Shea, Timothy J., et al.. (2024). Deep Learning Based Uplink Multi-User SIMO Beamforming Design. 329–333. 3 indexed citations
3.
O’Shea, Timothy J., et al.. (2024). Deep Learning Based Joint Multi-User MISO Power Allocation and Beamforming Design. 239–244. 2 indexed citations
4.
Jain, Vinija, et al.. (2024). Decoding the Diversity: A Review of the Indic AI Research Landscape. arXiv (Cornell University).
6.
Roy, Tamoghna, et al.. (2019). Ant Faunal Diversity of Bibhutibhushan Wildlife Sanctuary, North 24 Parganas, West Bengal, India. World Scientific News. 120(2). 81–110.
7.
Roy, Tamoghna, Tim O’Shea, & Nathan West. (2019). Generative Adversarial Radio Spectrum Networks. 12–15. 9 indexed citations
8.
O’Shea, Timothy J., Tamoghna Roy, & T. Charles Clancy. (2018). Over-the-Air Deep Learning Based Radio Signal Classification. IEEE Journal of Selected Topics in Signal Processing. 12(1). 168–179. 1006 indexed citations breakdown →
9.
Roy, Tamoghna & A.A. Beex. (2018). Power Measurement Based Code Classification for Programmable Logic Circuits. 644–648. 1 indexed citations
10.
West, Nathan, et al.. (2018). SigMF: The Signal Metadata Format. 3(1). 11 indexed citations
11.
O’Shea, Timothy J., et al.. (2018). Demonstrating Deep Learning Based Communications Systems Over the Air In Practice. 1–2. 7 indexed citations
13.
O’Shea, Timothy J., Tamoghna Roy, & Tugba Erpek. (2017). Spectral detection and localization of radio events with learned convolutional neural features. 331–335. 22 indexed citations
14.
Roy, Tamoghna, et al.. (2017). A word-space visualization approach to study college of engineering mission statements. 1–5. 6 indexed citations
15.
Roy, Tamoghna & A.A. Beex. (2013). BER modeling for interference canceling FIR Wiener equalizer. 3. 278–282.

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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