Sushant Prakash

1.7k total citations
2 papers, 61 citations indexed

About

Sushant Prakash is a scholar working on Artificial Intelligence, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Sushant Prakash has authored 2 papers receiving a total of 61 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Sushant Prakash's work include Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Semantic Web and Ontologies (1 paper). Sushant Prakash is often cited by papers focused on Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Semantic Web and Ontologies (1 paper). Sushant Prakash collaborates with scholars based in United States. Sushant Prakash's co-authors include Rion Snow, Andrew Y. Ng, Daniel Jurafsky, Shawn O’Banion, Bradley Green, Luyang Liu and Neo Wu and has published in prestigious journals such as Empirical Methods in Natural Language Processing.

In The Last Decade

Sushant Prakash

2 papers receiving 48 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sushant Prakash	55	8	7	2	2	2	61
Massih-Réza Amini	25 0.5×	9 1.1×	8 1.1×	2 1.0×	2 1.0×	6	40
Travis Wolfe	55 1.0×	9 1.1×	11 1.6×		3 1.5×	8	56
Hsien-chin Lin	53 1.0×	6 0.8×	5 0.7×		1 0.5×	13	58
Shruti Bhosale	53 1.0×	6 0.8×	14 2.0×	3 1.5×	1 0.5×	12	59
Shikib Mehri	43 0.8×	6 0.8×	5 0.7×	1 0.5×		8	53
George Zerveas	28 0.5×	5 0.6×	7 1.0×	2 1.0×		8	32
Perez Ogayo	59 1.1×	8 1.0×	13 1.9×	1 0.5×		7	64
Hagai Taitelbaum	56 1.0×	12 1.5×	8 1.1×	3 1.5×	5 2.5×	6	63
Xiang Lisa Li	53 1.0×	6 0.8×	14 2.0×		3 1.5×	4	67
Xiang Lorraine Li	55 1.0×	9 1.1×	11 1.6×	1 0.5×	3 1.5×	7	63

Countries citing papers authored by Sushant Prakash

Since Specialization

Citations

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

Fields of papers citing papers by Sushant Prakash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushant Prakash

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

All Works

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2 of 2 papers shown

1.

Liu, Luyang, et al.. (2025). User-LLM: Efficient LLM Contextualization with User Embeddings. 1219–1223. 6 indexed citations

2.

Snow, Rion, Sushant Prakash, Daniel Jurafsky, & Andrew Y. Ng. (2007). Learning to Merge Word Senses. Empirical Methods in Natural Language Processing. 147(1). 1005–1014. 55 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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