Lovekesh Vig

224 total papers · 4.5k total citations
80 papers, 2.2k citations indexed

About

Lovekesh Vig is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Lovekesh Vig has authored 80 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 26 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in Lovekesh Vig's work include Topic Modeling (19 papers), Natural Language Processing Techniques (13 papers) and Anomaly Detection Techniques and Applications (10 papers). Lovekesh Vig is often cited by papers focused on Topic Modeling (19 papers), Natural Language Processing Techniques (13 papers) and Anomaly Detection Techniques and Applications (10 papers). Lovekesh Vig collaborates with scholars based in India, United States and Malaysia. Lovekesh Vig's co-authors include Gautam Shroff, Puneet Agarwal, Pankaj Malhotra, Sucheta Chauhan, Julie A. Adams, Monika Sharma, Monika Sharma, Shandar Ahmad, D. Garg and Ramya Hebbalaguppe and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Expert Systems with Applications.

In The Last Decade

Lovekesh Vig

71 papers receiving 2.0k 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
Lovekesh Vig 1.1k 608 411 339 229 80 2.2k
Nurhan Karaboğa 1.5k 1.3× 251 0.4× 435 1.1× 431 1.3× 510 2.2× 56 3.2k
Paul D. Yoo 873 0.8× 877 1.4× 446 1.1× 190 0.6× 136 0.6× 84 2.4k
Sharnil Pandya 993 0.9× 584 1.0× 273 0.7× 418 1.2× 105 0.5× 61 2.8k
Ausif Mahmood 1.1k 0.9× 272 0.4× 283 0.7× 765 2.3× 193 0.8× 75 2.9k
Sheng‐De Wang 942 0.8× 464 0.8× 310 0.8× 757 2.2× 421 1.8× 126 2.5k
Emilio Corchado 1.2k 1.0× 489 0.8× 347 0.8× 373 1.1× 182 0.8× 139 2.4k
Rajesh Kaluri 855 0.8× 644 1.1× 242 0.6× 352 1.0× 128 0.6× 48 2.4k
Jim Austin 1.8k 1.6× 582 1.0× 494 1.2× 569 1.7× 408 1.8× 80 3.1k
Piyush Kumar Shukla 835 0.7× 591 1.0× 184 0.4× 500 1.5× 109 0.5× 180 2.8k
Qianli Ma 1.4k 1.2× 183 0.3× 488 1.2× 753 2.2× 269 1.2× 101 3.1k

Countries citing papers authored by Lovekesh Vig

Since Specialization
Citations

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

Fields of papers citing papers by Lovekesh Vig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lovekesh Vig

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026