Ben Bogin

1.4k total citations
11 papers, 185 citations indexed

About

Ben Bogin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ben Bogin has authored 11 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Ben Bogin's work include Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Speech and dialogue systems (2 papers). Ben Bogin is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Speech and dialogue systems (2 papers). Ben Bogin collaborates with scholars based in Israel, United States and Canada. Ben Bogin's co-authors include Jonathan Berant, Matt Gardner, Itay Levy, Ranit Aharonov, Joseph B. McPhee, Shai Gretz, James B. Bliska, Ran Levy, Noam Slonim and Taylor J. Schoberle and has published in prestigious journals such as Infection and Immunity, Transactions of the Association for Computational Linguistics and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Ben Bogin

10 papers receiving 167 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ben Bogin Israel	9	149	40	37	16	14	11	185
David Froelicher United States	7	162 1.1×	42 1.1×	12 0.3×	20 1.3×	16 1.1×	11	218
Runxin Xu China	8	341 2.3×	43 1.1×	47 1.3×	30 1.9×	6 0.4×	19	381
Sunil Mohan United States	7	120 0.8×	35 0.9×	19 0.5×	73 4.6×	8 0.6×	9	183
Yichen Jiang United States	7	173 1.2×	60 1.5×	30 0.8×	4 0.3×	8 0.6×	20	203
Christophe Guéret Netherlands	7	91 0.6×	40 1.0×	11 0.3×	25 1.6×	38 2.7×	31	134
Kevin Livingston United States	6	88 0.6×	17 0.4×	10 0.3×	70 4.4×	9 0.6×	13	139
Nadia Essoussi Tunisia	7	88 0.6×	25 0.6×	16 0.4×	29 1.8×	8 0.6×	22	124
Raghava Mutharaju United States	6	73 0.5×	29 0.7×	11 0.3×	12 0.8×	31 2.2×	25	92
Alexander K. Hudek Canada	6	82 0.6×	28 0.7×	7 0.2×	39 2.4×	14 1.0×	11	104
Daniel Deutsch United States	9	211 1.4×	23 0.6×	35 0.9×	9 0.6×	3 0.2×	31	226

Countries citing papers authored by Ben Bogin

Since Specialization

Citations

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

Fields of papers citing papers by Ben Bogin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Bogin

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Bogin. A scholar is included among the top collaborators of Ben Bogin 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 Ben Bogin. Ben Bogin 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:

11 of 11 papers shown

1.

Bogin, Ben, Shashank Gupta, Kyle Richardson, et al.. (2024). SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories. 12622–12645. 1 indexed citations

2.

Bogin, Ben, et al.. (2024). Leveraging Code to Improve In-Context Learning for Semantic Parsing. 4971–5012.

3.

Bogin, Ben, et al.. (2023). Answering Questions by Meta-Reasoning over Multiple Chains of Thought. 5942–5966. 15 indexed citations

4.

Levy, Itay, Ben Bogin, & Jonathan Berant. (2023). Diverse Demonstrations Improve In-context Compositional Generalization. 1401–1422. 24 indexed citations

5.

Bogin, Ben, et al.. (2022). Unobserved Local Structures Make Compositional Generalization Hard. 2731–2747. 12 indexed citations

6.

Bogin, Ben, et al.. (2021). Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data. 77–87. 13 indexed citations

7.

Bogin, Ben, Sanjay Subramanian, Matt Gardner, & Jonathan Berant. (2021). Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. Transactions of the Association for Computational Linguistics. 9. 195–210. 13 indexed citations

8.

Bogin, Ben, et al.. (2021). COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 9824–9846. 10 indexed citations

9.

Bogin, Ben, Matt Gardner, & Jonathan Berant. (2019). Global Reasoning over Database Structures for Text-to-SQL Parsing. 3657–3662. 61 indexed citations

10.

Levy, Ran, Ben Bogin, Shai Gretz, Ranit Aharonov, & Noam Slonim. (2018). Towards an argumentative content search engine using weak supervision.. International Conference on Computational Linguistics. 2066–2081. 18 indexed citations

11.

Schoberle, Taylor J., Lawton K. Chung, Joseph B. McPhee, Ben Bogin, & James B. Bliska. (2016). Uncovering an Important Role for YopJ in the Inhibition of Caspase-1 in Activated Macrophages and Promoting Yersinia pseudotuberculosis Virulence. Infection and Immunity. 84(4). 1062–1072. 18 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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