Abeba Birhane

3.8k total citations · 3 hit papers
26 papers, 1.2k citations indexed

About

Abeba Birhane is a scholar working on Safety Research, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Abeba Birhane has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Safety Research, 7 papers in Artificial Intelligence and 6 papers in Cognitive Neuroscience. Recurrent topics in Abeba Birhane's work include Ethics and Social Impacts of AI (14 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Neuroethics, Human Enhancement, Biomedical Innovations (4 papers). Abeba Birhane is often cited by papers focused on Ethics and Social Impacts of AI (14 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Neuroethics, Human Enhancement, Biomedical Innovations (4 papers). Abeba Birhane collaborates with scholars based in Ireland, United States and United Kingdom. Abeba Birhane's co-authors include Vinay Uday Prabhu, David Leslie, Atoosa Kasirzadeh, Sandra Wachter, Celeste Kidd, Anthony Ventresque, Dallas Card, Pratyusha Kalluri, William Agnew and Matthew S. Brown and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Abeba Birhane

25 papers receiving 1.1k citations

Hit Papers

Algorithmic injustice: a relational ethics approach 2021 2026 2022 2024 2021 2022 2023 50 100 150 200 250
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. Algorithmic injustice: a relational ethics approach
    2021 257 citations Abeba Birhane Patterns profile →
  2. The Values Encoded in Machine Learning Research
    2022 143 citations Abeba Birhane, Pratyusha Kalluri et al. profile →
  3. How AI can distort human beliefs
    2023 75 citations Celeste Kidd, Abeba Birhane Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abeba Birhane Ireland 14 452 430 198 172 140 26 1.2k
Aylin Caliskan United States 13 979 2.2× 399 0.9× 391 2.0× 187 1.1× 144 1.0× 40 2.0k
Stephen Cave United Kingdom 14 248 0.5× 543 1.3× 250 1.3× 143 0.8× 256 1.8× 19 925
Christine T. Wolf United States 17 222 0.5× 280 0.7× 302 1.5× 71 0.4× 118 0.8× 40 914
Robert Madelin Belgium 3 440 1.0× 715 1.7× 205 1.0× 322 1.9× 234 1.7× 6 1.4k
Angelina McMillan-Major United States 3 1.3k 2.8× 532 1.2× 282 1.4× 343 2.0× 170 1.2× 4 2.4k
Patrick Allo Belgium 6 422 0.9× 689 1.6× 274 1.4× 227 1.3× 192 1.4× 28 1.4k
Patrice Chazerand United Kingdom 2 429 0.9× 704 1.6× 196 1.0× 319 1.9× 232 1.7× 4 1.4k
Aurelia Tamò‐Larrieux Switzerland 13 354 0.8× 415 1.0× 312 1.6× 108 0.6× 88 0.6× 42 1.0k
Andrea L. Guzman United States 11 425 0.9× 324 0.8× 454 2.3× 66 0.4× 86 0.6× 21 1.2k
Lilian Edwards United Kingdom 14 346 0.8× 298 0.7× 295 1.5× 58 0.3× 66 0.5× 66 886

Countries citing papers authored by Abeba Birhane

Since Specialization
Citations

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

Fields of papers citing papers by Abeba Birhane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abeba Birhane

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

All Works

20 of 20 papers shown
1.
Kalluri, Pratyusha, et al.. (2025). Computer-vision research powers surveillance technology. Nature. 643(8070). 73–79. 3 indexed citations
2.
Birhane, Abeba & Marek McGann. (2024). Large models of what? Mistaking engineering achievements for human linguistic agency. Language Sciences. 106. 101672–101672. 4 indexed citations
3.
Smart, Andrew, et al.. (2024). The reanimation of pseudoscience in machine learning and its ethical repercussions. Patterns. 5(9). 101027–101027. 7 indexed citations
4.
Birhane, Abeba, Jelle van Dijk, & Frank Pasquale. (2024). Debunking Robot Rights Metaphysically, Ethically, and Legally. SSRN Electronic Journal.
5.
Birhane, Abeba, et al.. (2024). Undersea cables in Africa: The new frontiers of digital colonialism. First Monday. 4 indexed citations
6.
Birhane, Abeba, Jelle van Dijk, & Frank Pasquale. (2024). Debunking robot rights metaphysically, ethically, and legally. First Monday. 3 indexed citations
7.
Witten, Ilana B., Daniel Yamins, Claudia Clopath, et al.. (2024). Future views on neuroscience and AI. Cell. 187(21). 5809–5813. 1 indexed citations
8.
Birhane, Abeba, et al.. (2024). AI auditing: The Broken Bus on the Road to AI Accountability. 612–643. 27 indexed citations
9.
Ghassemi, Marzyeh, et al.. (2023). ChatGPT one year on: who is using it, how and why?. Nature. 624(7990). 39–41. 17 indexed citations
10.
Birhane, Abeba, Atoosa Kasirzadeh, David Leslie, & Sandra Wachter. (2023). Science in the age of large language models. Nature Reviews Physics. 5(5). 277–280. 167 indexed citations
11.
Birhane, Abeba, et al.. (2023). The lost art of mathematical modelling. Mathematical Biosciences. 362. 109033–109033. 9 indexed citations
12.
Kidd, Celeste & Abeba Birhane. (2023). How AI can distort human beliefs. Science. 380(6651). 1222–1223. 75 indexed citations breakdown →
13.
Kirk, Hannah Rose, Abeba Birhane, Bertie Vidgen, & Leon Derczynski. (2022). Handling and Presenting Harmful Text in NLP Research. 497–510. 16 indexed citations
14.
Birhane, Abeba. (2022). The Limits of Fairness. 2–2. 1 indexed citations
15.
Birhane, Abeba, Vinay Uday Prabhu, & John Whaley. (2022). Auditing saliency cropping algorithms. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1515–1523. 15 indexed citations
16.
Leslie, David, et al.. (2022). Advancing Data Justice Research and Practice: An Integrated Literature Review. SSRN Electronic Journal. 7 indexed citations
17.
Birhane, Abeba, et al.. (2022). The Values Encoded in Machine Learning Research. 173–184. 143 indexed citations breakdown →
18.
Birhane, Abeba, et al.. (2022). The Forgotten Margins of AI Ethics. arXiv (Cornell University). 948–958. 69 indexed citations
19.
Birhane, Abeba. (2021). Algorithmic injustice: a relational ethics approach. Patterns. 2(2). 100205–100205. 257 indexed citations breakdown →
20.
Birhane, Abeba, et al.. (2019). Conversational AI: Social and Ethical Considerations.. 104–115. 46 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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