Siddhant Garg

11 papers and 134 indexed citations i.

About

Siddhant Garg is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Siddhant Garg has authored 11 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Siddhant Garg’s work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Expert finding and Q&A systems (4 papers). Siddhant Garg is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Expert finding and Q&A systems (4 papers). Siddhant Garg collaborates with scholars based in United States, Italy and India. Siddhant Garg's co-authors include Alessandro Moschitti, Thuy Vu, Shiv Shankar, Sunita Sarawagi, Luca Soldaini, Rik Koncel-Kedziorski, Hui Guan and Leonardo F. R. Ribeiro and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Siddhant Garg i

Fields of papers citing papers by Siddhant Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Siddhant Garg

Since Specialization
Citations

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

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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2025