Sheshera Mysore

428 total citations
10 papers, 191 citations indexed

About

Sheshera Mysore is a scholar working on Artificial Intelligence, Information Systems and Materials Chemistry. According to data from OpenAlex, Sheshera Mysore has authored 10 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Materials Chemistry. Recurrent topics in Sheshera Mysore's work include Topic Modeling (9 papers), Natural Language Processing Techniques (4 papers) and Machine Learning in Materials Science (3 papers). Sheshera Mysore is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (4 papers) and Machine Learning in Materials Science (3 papers). Sheshera Mysore collaborates with scholars based in United States and India. Sheshera Mysore's co-authors include Andrew McCallum, Hamed Zamani, Kevin Huang, Zach Jensen, Elsa Olivetti, Emma Strubell, Haw-Shiuan Chang, Edward Kim, Stefanie Jegelka and Michael Bendersky and has published in prestigious journals such as Journal of Chemical Information and Modeling, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Sheshera Mysore

10 papers receiving 186 citations

Peers

Sheshera Mysore

MC

AI

IS

CTM

CVPR

Ricco Rakotomalala France

Yifan Yang China

Santiago Miret United States

Xinyu Ma United States

Carlo Baldassari Switzerland

Sam Cox United States

Abdellah Yousfi Morocco

Tuan Le Germany

Yadu Babuji United States

Gabriele Corso United States

Ricco Rakotomalala France

Sheshera Mysore

24 ×0.3

MC

114 ×1.4

AI

61 ×1.6

IS

48 ×1.4

CTM

17 ×0.9

CVPR

Citations per year, relative to Sheshera Mysore Sheshera Mysore (= 1×) peers Ricco Rakotomalala

Countries citing papers authored by Sheshera Mysore

Since Specialization

Citations

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

Fields of papers citing papers by Sheshera Mysore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheshera Mysore

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Mysore, Sheshera, et al.. (2024). LaMP: When Large Language Models Meet Personalization. 7370–7392. 19 indexed citations

2.

Mysore, Sheshera, Zhuoran Lu, Mengting Wan, et al.. (2024). Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers. 198–219. 1 indexed citations

3.

Mysore, Sheshera, Mahmood Jasim, Andrew McCallum, & Hamed Zamani. (2023). Editable User Profiles for Controllable Text Recommendations. 993–1003. 4 indexed citations

4.

Mysore, Sheshera, Andrew McCallum, & Hamed Zamani. (2023). Large Language Model Augmented Narrative Driven Recommendations. 777–783. 27 indexed citations

5.

Mysore, Sheshera, Arman Cohan, & Tom Hope. (2022). Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 4453–4470. 13 indexed citations

6.

O’Gorman, Tim, Zach Jensen, Sheshera Mysore, et al.. (2021). MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 1337–1352. 9 indexed citations

7.

Mysore, Sheshera, et al.. (2020). An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text. 3010–3017. 1 indexed citations

8.

Kim, Edward, Zach Jensen, Kevin Huang, et al.. (2020). Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. Journal of Chemical Information and Modeling. 60(3). 1194–1201. 104 indexed citations

9.

Singh, Arpit, et al.. (2019). Roll Call Vote Prediction with Knowledge Augmented Models. 574–581. 5 indexed citations

10.

Mysore, Sheshera, et al.. (2016). Complex and degraded color document image binarization. 157–162. 8 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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