Saksham Singhal

7 papers and 352 indexed citations i.

About

Saksham Singhal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Social Sciences. According to data from OpenAlex, Saksham Singhal has authored 7 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in General Social Sciences. Recurrent topics in Saksham Singhal’s work include Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers) and Speech Recognition and Synthesis (4 papers). Saksham Singhal is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers) and Speech Recognition and Synthesis (4 papers). Saksham Singhal collaborates with scholars based in China, Finland and United States. Saksham Singhal's co-authors include Furu Wei, Wenhui Wang, Song Xia, Li Dong, Zewen Chi, Xian-Ling Mao, Heyan Huang, Dong Li, Qiang Liu and Nan Yang and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Saksham Singhal i

Fields of papers citing papers by Saksham Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Saksham Singhal

Since Specialization
Citations

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