Neel Guha

3.2k total citations
11 papers, 170 citations indexed

About

Neel Guha is a scholar working on Information Systems, Artificial Intelligence and Political Science and International Relations. According to data from OpenAlex, Neel Guha has authored 11 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 4 papers in Artificial Intelligence and 3 papers in Political Science and International Relations. Recurrent topics in Neel Guha's work include Natural Language Processing Techniques (3 papers), Information Retrieval and Search Behavior (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Neel Guha is often cited by papers focused on Natural Language Processing Techniques (3 papers), Information Retrieval and Search Behavior (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Neel Guha collaborates with scholars based in United States. Neel Guha's co-authors include Michelle M. Mello, Daniel E. Ho, Peter Henderson, Lucia Zheng, Alexandra Chouldechova, Austin Peters, Simran Arora, Ling Xiao, Laurel Orr and Sen Wu and has published in prestigious journals such as New England Journal of Medicine, arXiv (Cornell University) and Conference on Innovative Data Systems Research.

In The Last Decade

Neel Guha

11 papers receiving 164 citations

Peers

Neel Guha

AI

HI

PSIR

RNMI

PHEOH

Mayli Mertens Belgium

Kareem Ayoub United Kingdom

Liyan Tang United States

E. C. S. Wade United States

Ye‐Jean Park Canada

Mehul Gupta Canada

Paul Blake United States

Eddie Guo Canada

Francis McKay United Kingdom

Ibraheem Altamimi Saudi Arabia

Mayli Mertens Belgium

Neel Guha

47 ×0.6

AI

89 ×1.1

HI

7 ×0.2

PSIR

26 ×0.9

RNMI

16 ×1.1

PHEOH

Citations per year, relative to Neel Guha Neel Guha (= 1×) peers Mayli Mertens

Countries citing papers authored by Neel Guha

Since Specialization

Citations

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

Fields of papers citing papers by Neel Guha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neel Guha

This figure shows the co-authorship network connecting the top 25 collaborators of Neel Guha. A scholar is included among the top collaborators of Neel Guha 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 Neel Guha. Neel Guha 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.

Mello, Michelle M. & Neel Guha. (2024). Understanding Liability Risk from Using Health Care Artificial Intelligence Tools. New England Journal of Medicine. 390(3). 271–278. 40 indexed citations

2.

Guha, Neel, et al.. (2023). Don't Use a Cannon to Kill a Fly. 141–147. 1 indexed citations

3.

Mello, Michelle M. & Neel Guha. (2023). ChatGPT and Physicians’ Malpractice Risk. JAMA Health Forum. 4(5). e231938–e231938. 50 indexed citations

4.

Guha, Neel, et al.. (2023). Private Enforcement in the States. SSRN Electronic Journal. 1 indexed citations

5.

Guha, Neel, et al.. (2021). Vulnerabilities in Discovery Tech. SSRN Electronic Journal. 1 indexed citations

6.

Zheng, Lucia, et al.. (2021). When does pretraining help?. 159–168. 57 indexed citations

7.

Orr, Laurel, Simran Arora, Sen Wu, et al.. (2020). Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation. Conference on Innovative Data Systems Research. 2 indexed citations

8.

Guha, Neel, et al.. (2020). Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy. arXiv (Cornell University). 14 indexed citations

9.

Guha, Neel. (2014). Tutoring from the desktop. 1087–1092. 1 indexed citations

10.

Guha, Neel, et al.. (2013). Course-specific search engines. 1247–1252. 1 indexed citations

11.

Guha, Neel. (2013). Course specific search engines. 33–36. 2 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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