Amit Singhal

10.7k total citations · 1 hit paper
142 papers, 6.1k citations indexed

About

Amit Singhal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Amit Singhal has authored 142 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 38 papers in Computer Vision and Pattern Recognition and 24 papers in Cognitive Neuroscience. Recurrent topics in Amit Singhal's work include EEG and Brain-Computer Interfaces (20 papers), Image Retrieval and Classification Techniques (17 papers) and Advanced Image and Video Retrieval Techniques (16 papers). Amit Singhal is often cited by papers focused on EEG and Brain-Computer Interfaces (20 papers), Image Retrieval and Classification Techniques (17 papers) and Advanced Image and Video Retrieval Techniques (16 papers). Amit Singhal collaborates with scholars based in India, United States and United Kingdom. Amit Singhal's co-authors include Chris Buckley, Mandar Mitra, Gerard Salton, James Allan, Pushpendra Singh, Jiebo Luo, Ram Bilas Pachori, Binish Fatimah, Robert E. Schapire and Yoram Singer and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Amit Singhal

129 papers receiving 5.5k citations

Hit Papers

Modern Information Retrieval : A Brief Overview 2001 2026 2009 2017 2001 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amit Singhal India 36 3.3k 2.1k 1.0k 707 448 142 6.1k
Marc K. Albert United States 14 3.1k 0.9× 1.1k 0.5× 1.0k 1.0× 554 0.8× 434 1.0× 26 5.4k
Dinh Phung Australia 33 2.8k 0.8× 559 0.3× 1.5k 1.4× 630 0.9× 521 1.2× 252 5.9k
Mykola Pechenizkiy Netherlands 31 3.5k 1.1× 951 0.5× 537 0.5× 698 1.0× 806 1.8× 206 5.7k
George H. John United States 10 4.2k 1.3× 1.2k 0.6× 2.0k 1.9× 732 1.0× 550 1.2× 18 8.0k
Wagner Meira Brazil 40 2.1k 0.6× 1.9k 0.9× 547 0.5× 618 0.9× 1.8k 4.1× 317 6.5k
Prayag Tiwari China 41 2.8k 0.8× 856 0.4× 1.5k 1.4× 354 0.5× 919 2.1× 223 7.0k
Dennis Kibler United States 21 3.8k 1.2× 1.3k 0.6× 1.0k 1.0× 654 0.9× 616 1.4× 55 6.4k
Mark A. Hall New Zealand 12 2.3k 0.7× 1.0k 0.5× 999 1.0× 428 0.6× 422 0.9× 15 4.8k
Jianping Li China 35 1.9k 0.6× 853 0.4× 1.2k 1.1× 324 0.5× 580 1.3× 366 5.2k
Charles X. Ling Canada 29 3.3k 1.0× 1.2k 0.5× 700 0.7× 297 0.4× 375 0.8× 131 5.7k

Countries citing papers authored by Amit Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Amit Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Singhal

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

All Works

20 of 20 papers shown
1.
Singhal, Amit. (2025). Federated Learning in Distributed Systems: A Privacy-First Approach. International Journal of Scientific Research in Computer Science Engineering and Information Technology. 11(1). 1899–1906. 1 indexed citations
2.
Upadhyay, Avinash, Manoj Kumar Sharma, Prerana Mukherjee, Amit Singhal, & Brejesh Lall. (2025). A comprehensive survey on synthetic infrared image synthesis. Infrared Physics & Technology. 147. 105745–105745.
3.
Singhal, Amit, et al.. (2024). Lung disease detection using EasyNet. Biomedical Signal Processing and Control. 91. 105944–105944. 8 indexed citations
4.
Agarwal, Megha & Amit Singhal. (2024). Classification of cyclic alternating patterns of sleep using EEG signals. Sleep Medicine. 124. 282–288. 1 indexed citations
5.
Singh, Pushpendra, Amit Singhal, Binish Fatimah, & Anubha Gupta. (2023). A novel PRFB decomposition for non-stationary time-series and image analysis. Signal Processing. 207. 108961–108961. 4 indexed citations
6.
Chaoub, Abdelaali, Marco Giordani, Brejesh Lall, et al.. (2022). 6G for bridging the digital divide:wireless connectivity to remote areas. University of Oulu Repository (University of Oulu). 69 indexed citations
7.
Fatimah, Binish, Pushpendra Singh, Amit Singhal, & Ram Bilas Pachori. (2022). Biometric Identification From ECG Signals Using Fourier Decomposition and Machine Learning. IEEE Transactions on Instrumentation and Measurement. 71. 1–9. 38 indexed citations
8.
Singh, Pushpendra, Amit Singhal, Binish Fatimah, Anubha Gupta, & Shiv Dutt Joshi. (2020). AF-MNS: A Novel AM-FM Based Measure of Non-Stationarity. IEEE Communications Letters. 25(3). 990–994. 1 indexed citations
9.
Singhal, Amit, Pushpendra Singh, Brejesh Lall, & Shiv Dutt Joshi. (2020). Modeling and prediction of COVID-19 pandemic using Gaussian mixture model. Chaos Solitons & Fractals. 138. 110023–110023. 81 indexed citations
10.
Bhatnagar, Sushma, Seema Mishra, Rajeev Ranjan Jha, & Amit Singhal. (2005). Predicting difficult laryngoscopy in oral cancer patients: A prospective study. SHILAP Revista de lepidopterología. 2 indexed citations
11.
Bhatnagar, Sushma, et al.. (2004). A retrospective study of prevalence of co-morbid conditions and their impact on post operative outcome in cancer patients.. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Singhal, Amit. (2001). Modern Information Retrieval : A Brief Overview. IEEE Data(base) Engineering Bulletin. 24(4). 35–43. 946 indexed citations breakdown →
13.
Singhal, Amit, Mohammad Banikazemi, P. Sadayappan, & Dhabaleswar K. Panda. (2001). Efficient Multicast Algorithms for Heterogeneous Switch-based Irregular Networks of Workstations. International Parallel and Distributed Processing Symposium. 71. 2 indexed citations
14.
Singhal, Amit & Marcin Kaszkiel. (2000). AT&T at TREC-9.. Text REtrieval Conference. 9 indexed citations
15.
Lewis, David, et al.. (1999). ATTICS: A Software Platform for Online Text Classification (poster abstract).. International ACM SIGIR Conference on Research and Development in Information Retrieval. 267–268. 3 indexed citations
16.
Singhal, Amit, Steven Abney, Michiel Bacchiani, et al.. (1999). AT&T at TREC-8.. Text REtrieval Conference. 33 indexed citations
17.
Singhal, Amit, et al.. (1998). AT&T at TREC-7. Text REtrieval Conference. 186–198. 85 indexed citations
18.
Singhal, Amit, et al.. (1997). AT&T at TREC-6 : SDR track. Text REtrieval Conference. 227–232. 7 indexed citations
19.
Singhal, Amit. (1997). AT&T at TREC-6. Text REtrieval Conference. 215–225. 25 indexed citations
20.
Buckley, Chris, Amit Singhal, Mandar Mitra, & Gerard Salton. (1995). New Retrieval Approaches Using SMART: TREC 4.. Text REtrieval Conference. 25–48. 228 indexed citations

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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