Shib Sankar Dasgupta

606 total citations
8 papers, 297 citations indexed

About

Shib Sankar Dasgupta is a scholar working on Artificial Intelligence, Molecular Biology and Geometry and Topology. According to data from OpenAlex, Shib Sankar Dasgupta has authored 8 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Geometry and Topology. Recurrent topics in Shib Sankar Dasgupta's work include Topic Modeling (7 papers), Natural Language Processing Techniques (4 papers) and Advanced Graph Neural Networks (3 papers). Shib Sankar Dasgupta is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (4 papers) and Advanced Graph Neural Networks (3 papers). Shib Sankar Dasgupta collaborates with scholars based in United States and India. Shib Sankar Dasgupta's co-authors include Swayambhu Nath Ray, Partha Talukdar, Shikhar Vashishth, Andrew McCallum, Xiang Lorraine Li, Muhao Chen, Xuelu Chen, Luke Vilnis, Siddhartha Mishra and Dhruvesh Patel and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Neural Information Processing Systems and Uncertainty in Artificial Intelligence.

In The Last Decade

Shib Sankar Dasgupta

7 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shib Sankar Dasgupta United States	5	284	76	58	34	17	8	297
Swayambhu Nath Ray India	2	253 0.9×	73 1.0×	52 0.9×	30 0.9×	15 0.9×	2	264
Mojtaba Nayyeri Germany	10	279 1.0×	55 0.7×	55 0.9×	38 1.1×	27 1.6×	25	305
Xisen Jin United States	5	400 1.4×	50 0.7×	89 1.5×	48 1.4×	12 0.7×	7	427
Siwei Rao China	3	343 1.2×	104 1.4×	36 0.6×	43 1.3×	18 1.1×	6	364
Xiaohan Lan China	6	361 1.3×	181 2.4×	101 1.7×	25 0.7×	26 1.5×	7	412
Jiawei Sheng China	9	282 1.0×	67 0.9×	51 0.9×	95 2.8×	5 0.3×	29	318
Xiaotao Gu United States	9	349 1.2×	57 0.8×	54 0.9×	69 2.0×	40 2.4×	19	378
Kathryn Mazaitis United States	6	319 1.1×	32 0.4×	54 0.9×	48 1.4×	12 0.7×	10	342
Apoorv Saxena India	3	260 0.9×	30 0.4×	64 1.1×	33 1.0×	9 0.5×	5	289
Seyed Mehran Kazemi Canada	6	139 0.5×	23 0.3×	17 0.3×	18 0.5×	16 0.9×	15	154

Countries citing papers authored by Shib Sankar Dasgupta

Since Specialization

Citations

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

Fields of papers citing papers by Shib Sankar Dasgupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shib Sankar Dasgupta. 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 Shib Sankar Dasgupta. The network helps show where Shib Sankar Dasgupta may publish in the future.

Co-authorship network of co-authors of Shib Sankar Dasgupta

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

All Works

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8 of 8 papers shown

1.

Dasgupta, Shib Sankar, et al.. (2022). Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 7 indexed citations

2.

Dasgupta, Shib Sankar, et al.. (2021). Min/Max Stability and Box Distributions. Uncertainty in Artificial Intelligence. 1 indexed citations

3.

Chen, Xuelu, et al.. (2021). Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning. 882–893. 19 indexed citations

4.

Dasgupta, Shib Sankar, et al.. (2021). Box-To-Box Transformations for Modeling Joint Hierarchies.

5.

Dasgupta, Shib Sankar, et al.. (2020). Representing Joint Hierarchies with Box Embeddings. 4 indexed citations

6.

Dasgupta, Shib Sankar, et al.. (2020). Improving Local Identifiability in Probabilistic Box Embeddings. Neural Information Processing Systems. 33. 182–192. 2 indexed citations

7.

Dasgupta, Shib Sankar, Swayambhu Nath Ray, & Partha Talukdar. (2018). HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding. 2001–2011. 243 indexed citations

8.

Vashishth, Shikhar, Shib Sankar Dasgupta, Swayambhu Nath Ray, & Partha Talukdar. (2018). Dating Documents using Graph Convolution Networks. 1605–1615. 21 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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