Gautam Shroff

208 total papers · 3.8k total citations
83 papers, 1.8k citations indexed

About

Gautam Shroff is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Gautam Shroff has authored 83 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 30 papers in Information Systems and 18 papers in Signal Processing. Recurrent topics in Gautam Shroff's work include Topic Modeling (17 papers), Time Series Analysis and Forecasting (13 papers) and Natural Language Processing Techniques (9 papers). Gautam Shroff is often cited by papers focused on Topic Modeling (17 papers), Time Series Analysis and Forecasting (13 papers) and Natural Language Processing Techniques (9 papers). Gautam Shroff collaborates with scholars based in India, United States and Malaysia. Gautam Shroff's co-authors include Lovekesh Vig, Puneet Agarwal, Pankaj Malhotra, Herbert B. Keller, Christian Bischof, Pankaj Malhotra, D. Garg, Lipika Dey, Arun K. Misra and Robert Schreiber and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Signal Processing and SIAM Journal on Numerical Analysis.

In The Last Decade

Gautam Shroff

79 papers receiving 1.6k citations

Hit Papers

Long Short Term Memory Ne... 2015 2026 2018 2022 2015 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Gautam Shroff 853 417 409 343 199 83 1.8k
Hong Chen 1.1k 1.3× 354 0.8× 149 0.4× 279 0.8× 180 0.9× 114 1.9k
V. S. Shankar Sriram 464 0.5× 571 1.4× 192 0.5× 322 0.9× 127 0.6× 104 1.3k
Zheng Qin 481 0.6× 533 1.3× 528 1.3× 288 0.8× 105 0.5× 116 1.5k
Ashok N. Srivastava 1.1k 1.3× 249 0.6× 413 1.0× 240 0.7× 292 1.5× 72 2.2k
Xiaofei Xu 1.4k 1.7× 479 1.1× 263 0.6× 307 0.9× 202 1.0× 94 2.2k
Yuan Qi 443 0.5× 425 1.0× 341 0.8× 214 0.6× 46 0.2× 96 1.3k
Jianghui Cai 667 0.8× 271 0.6× 172 0.4× 228 0.7× 77 0.4× 72 1.4k
John A. Tomlin 562 0.7× 493 1.2× 160 0.4× 693 2.0× 301 1.5× 55 2.2k
Xiaofeng Wang 662 0.8× 587 1.4× 560 1.4× 320 0.9× 69 0.3× 58 1.4k
Siti Mariyam Shamsuddin 1.2k 1.4× 283 0.7× 172 0.4× 257 0.7× 227 1.1× 133 2.3k

Countries citing papers authored by Gautam Shroff

Since Specialization
Citations

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

Fields of papers citing papers by Gautam Shroff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gautam Shroff

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