Saadia Gabriel

1.5k total citations · 2 hit papers
18 papers, 681 citations indexed

About

Saadia Gabriel is a scholar working on Artificial Intelligence, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Saadia Gabriel has authored 18 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 2 papers in Social Psychology and 2 papers in Sociology and Political Science. Recurrent topics in Saadia Gabriel's work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Advanced Text Analysis Techniques (4 papers). Saadia Gabriel is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Advanced Text Analysis Techniques (4 papers). Saadia Gabriel collaborates with scholars based in United States, United Kingdom and Canada. Saadia Gabriel's co-authors include Yejin Choi, Maarten Sap, Dallas Card, Noah A. Smith, Marzyeh Ghassemi, Aslı Çelikyılmaz, Hannaneh Hajishirzi, Shanchuan Lin, Aida Amini and Hong Yu and has published in prestigious journals such as Annals of Neurology, Nature Machine Intelligence and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.

In The Last Decade

Saadia Gabriel

17 papers receiving 638 citations

Hit Papers

The Risk of Racial Bias in Hate Speech Detection 2019 2026 2021 2023 2019 2024 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Risk of Racial Bias in Hate Speech Detection
    2019 417 citations Maarten Sap, Dallas Card et al. profile →
  2. Mental-LLM
    2024 78 citations Xuhai Xu, Bingsheng Yao et al. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saadia Gabriel United States 9 536 92 87 78 62 18 681
Debora Nozza Italy 14 906 1.7× 118 1.3× 139 1.6× 127 1.6× 111 1.8× 38 1.1k
Elijah Mayfield United States 13 345 0.6× 40 0.4× 79 0.9× 44 0.6× 72 1.2× 27 599
Zhiyuan Lin United States 9 142 0.3× 143 1.6× 49 0.6× 45 0.6× 92 1.5× 20 424
Bertie Vidgen United Kingdom 15 652 1.2× 196 2.1× 155 1.8× 169 2.2× 100 1.6× 31 851
Zhenhui Peng Hong Kong 12 169 0.3× 65 0.7× 56 0.6× 25 0.3× 106 1.7× 38 375
Maurice Jakesch United States 7 178 0.3× 140 1.5× 30 0.3× 49 0.6× 38 0.6× 10 371
Caleb Ziems United States 8 333 0.6× 100 1.1× 31 0.4× 55 0.7× 38 0.6× 14 467
Christopher Rytting United States 4 187 0.3× 86 0.9× 23 0.3× 27 0.3× 20 0.3× 4 382
Golnoosh Farnadi United States 10 200 0.4× 78 0.8× 94 1.1× 12 0.2× 82 1.3× 35 392
Mladen Raković Australia 17 274 0.5× 25 0.3× 72 0.8× 30 0.4× 26 0.4× 54 819

Countries citing papers authored by Saadia Gabriel

Since Specialization
Citations

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

Fields of papers citing papers by Saadia Gabriel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saadia Gabriel

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

All Works

18 of 18 papers shown
1.
Jiang, Liwei, Jena D. Hwang, Chandra Bhagavatula, et al.. (2025). Investigating machine moral judgement through the Delphi experiment. Nature Machine Intelligence. 7(1). 145–160. 5 indexed citations
2.
3.
Xu, Xuhai, Bingsheng Yao, Yuanzhe Dong, et al.. (2024). Mental-LLM. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(1). 1–32. 78 indexed citations breakdown →
4.
Lee, Jae-Young, Ximing Lu, Jack Hessel, et al.. (2024). How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. 13060–13077. 1 indexed citations
5.
Gabriel, Saadia, et al.. (2024). Can AI Relate: Testing Large Language Model Response for Mental Health Support. 2206–2221. 10 indexed citations
6.
Gabriel, Saadia, et al.. (2024). Generative AI in the Era of 'Alternative Facts'. 5 indexed citations
7.
Gabriel, Saadia, et al.. (2024). MisinfoEval: Generative AI in the Era of “Alternative Facts”. 8566–8578. 2 indexed citations
8.
Gabriel, Saadia, Eric Minwei Liu, Fotini Christia, et al.. (2024). Advancing Equality: Harnessing Generative AI to Combat Systemic Racism. 1 indexed citations
9.
Hartvigsen, Thomas, Saadia Gabriel, Hamid Palangi, et al.. (2022). ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3309–3326. 2 indexed citations
10.
Gabriel, Saadia, et al.. (2022). Misinfo Reaction Frames: Reasoning about Readers’ Reactions to News Headlines. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3108–3127. 16 indexed citations
11.
Gabriel, Saadia, Aslı Çelikyılmaz, Rahul Jha, Yejin Choi, & Jianfeng Gao. (2021). GO FIGURE: A Meta Evaluation of Factuality in Summarization. 478–487. 42 indexed citations
12.
Gabriel, Saadia, Chandra Bhagavatula, Vered Shwartz, et al.. (2021). Paragraph-level Commonsense Transformers with Recurrent Memory. Proceedings of the AAAI Conference on Artificial Intelligence. 35(14). 12857–12865. 17 indexed citations
13.
Gabriel, Saadia, Antoine Bosselut, Ari Holtzman, et al.. (2021). Discourse Understanding and Factual Consistency in Abstractive Summarization. 14 indexed citations
14.
Cheng, Zezhou, Saadia Gabriel, Daniel Sheldon, et al.. (2020). Detecting and Tracking Communal Bird Roosts in Weather Radar Data. Proceedings of the AAAI Conference on Artificial Intelligence. 34(1). 378–385. 12 indexed citations
15.
Gabriel, Saadia, Chandra Bhagavatula, Vered Shwartz, et al.. (2020). Paragraph-level Commonsense Transformers with Recurrent Memory. arXiv (Cornell University). 35(14). 12857–12865. 4 indexed citations
16.
Sap, Maarten, Dallas Card, Saadia Gabriel, Yejin Choi, & Noah A. Smith. (2019). The Risk of Racial Bias in Hate Speech Detection. 1668–1678. 417 indexed citations breakdown →
17.
Amini, Aida, Saadia Gabriel, Shanchuan Lin, et al.. (2019). . 2357–2367. 54 indexed citations
18.
Gabriel, Saadia, et al.. (2006). The Southampton Transient Oxygen and Radiation Monitor (STORM). Annals of Neurology. 36(3). 443–7. 1 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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