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

Peers

Abeba Birhane
Comparison fields: 5 of 146
  • Artificial Intelligence 452
  • Safety Research 430
  • Sociology and Political Science 198
  • Health Informatics 172
  • Cognitive Neuroscience 140
Replace Aylin Caliskan with:
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Aurelia Tamò‐Larrieux Switzerland
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Aylin Caliskan United States View profile →
Citations per field, relative to Abeba Birhane
Abeba Birhane · 1×
Citations per year, relative to Abeba Birhane
Abeba Birhane · 1×

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
# Work Indexed citations
1 3
2 4
3 7
4 0
5 4
6 3
7 1
8 27
9 17
10 167
11 9
12
How AI can distort human beliefs breakdown →
75
13 16
14 1
15 15
16 7
17
The Values Encoded in Machine Learning Research breakdown →
143
18 69
19
Algorithmic injustice: a relational ethics approach breakdown →
257
20
Conversational AI: Social and Ethical Considerations.
46

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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