Mohit Kumar

535 total citations
14 papers, 314 citations indexed

About

Mohit Kumar is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Mohit Kumar has authored 14 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Signal Processing. Recurrent topics in Mohit Kumar's work include Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Constraint Satisfaction and Optimization (4 papers). Mohit Kumar is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Constraint Satisfaction and Optimization (4 papers). Mohit Kumar collaborates with scholars based in United States, Belgium and India. Mohit Kumar's co-authors include Alexander I. Rudnicky, Mosur Ravishankar, Alan W. Black, David Huggins-Daines, A.C.K. Chan, Dipanjan Das, Luc De Raedt, Sachin Agarwal, Stefano Teso and Nikesh Garera and has published in prestigious journals such as Artificial Intelligence, PeerJ Computer Science and International Journal of Electronics.

In The Last Decade

Mohit Kumar

13 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohit Kumar United States 4 167 90 68 39 33 14 314
David Huggins-Daines United States 5 196 1.2× 103 1.1× 70 1.0× 36 0.9× 31 0.9× 9 327
Philip Kwok United States 4 238 1.4× 119 1.3× 66 1.0× 22 0.6× 63 1.9× 7 381
Ibrahiem M. M. El Emary Saudi Arabia 10 118 0.7× 97 1.1× 81 1.2× 82 2.1× 33 1.0× 34 397
Willie Walker United Kingdom 2 211 1.3× 105 1.2× 53 0.8× 17 0.4× 18 0.5× 5 298
Evandro Gouvêa United States 9 328 2.0× 213 2.4× 86 1.3× 23 0.6× 19 0.6× 17 461
Vlado Delić Serbia 11 169 1.0× 144 1.6× 102 1.5× 45 1.2× 27 0.8× 66 403
Shoji Kajita Japan 11 101 0.6× 186 2.1× 68 1.0× 23 0.6× 12 0.4× 50 325
D. S. Bormane India 12 74 0.4× 91 1.0× 180 2.6× 28 0.7× 40 1.2× 62 407
Babak Naderi Germany 10 106 0.6× 154 1.7× 74 1.1× 24 0.6× 34 1.0× 37 322
Shingchern D. You Taiwan 10 65 0.4× 96 1.1× 83 1.2× 56 1.4× 55 1.7× 57 290

Countries citing papers authored by Mohit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Mohit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohit Kumar

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

All Works

14 of 14 papers shown
1.
Agrawal, Prateek, et al.. (2025). LPITutor: an LLM based personalized intelligent tutoring system using RAG and prompt engineering. PeerJ Computer Science. 11. e2991–e2991. 1 indexed citations
3.
Kumar, Mohit, et al.. (2022). Learning MAX-SAT from contextual examples for combinatorial optimisation. Artificial Intelligence. 314. 103794–103794. 2 indexed citations
4.
Kumar, Mohit, et al.. (2021). Democratizing Constraint Satisfaction Problems through Machine Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 35(18). 16057–16059. 2 indexed citations
5.
Kumar, Mohit, et al.. (2020). Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 4493–4500. 2 indexed citations
6.
Kumar, Mohit, Stefano Teso, & Luc De Raedt. (2019). Acquiring Integer Programs from Data. Lirias. 1130–1136. 3 indexed citations
7.
Kumar, Mohit, Nikesh Garera, & Alexander I. Rudnicky. (2018). Learning from the Report-writing Behavior of Individuals. Figshare. 1641–1646. 1 indexed citations
8.
Kumar, Mohit, et al.. (2016). An efficient pipelined architecture for real-valued Fast Fourier Transform. International Journal of Electronics. 104(4). 692–708. 5 indexed citations
9.
Kumar, Mohit, et al.. (2015). Complex-multiplier implementation for pipelined FFTs in FPGAs. 20. 137–141. 3 indexed citations
10.
Kumar, Mohit, Dipanjan Das, Sachin Agarwal, & Alexander I. Rudnicky. (2009). Non-textual event summarization by applying machine learning to template-based language generation. 67–67. 7 indexed citations
11.
Das, Dipanjan, Mohit Kumar, & Alexander I. Rudnicky. (2008). Automatic Extraction of Briefing Templates. International Joint Conference on Natural Language Processing. 265–272. 3 indexed citations
12.
Kumar, Mohit, Dipanjan Das, & Alexander I. Rudnicky. (2007). Summarizing non-textual events with a 'briefing' focus. 210–225. 4 indexed citations
13.
Huggins-Daines, David, Mohit Kumar, A.C.K. Chan, et al.. (2006). Pocketsphinx: A Free, Real-Time Continuous Speech Recognition System for Hand-Held Devices. 1. I–185. 280 indexed citations
14.
Kumar, Mohit, Nikesh Garera, & Alexander I. Rudnicky. (2006). A Briefing Tool that Learns Individual Report-Writing Behavior. Figshare. 527–531. 1 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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