Abeba Birhane

4.2k citations
27 papers · 1.4k · 3 hit papers · h-index 14

Impact in

Papers in

Abeba Birhane

26 papers receiving 1.3k citations

Abeba Birhane's Hit Papers

How AI can distort human beliefs 2023 · 84 citations
840+1+3Years since publication50100150200250

Peers

Abeba Birhane
Comparison fields: 5 of 143
  • Health Informatics 177
  • Safety Research 456
  • Artificial Intelligence 466
  • Computer Science Applications 64
  • Human-Computer Interaction 54
Replace Patrick Allo with:
Patrick Allo Belgium
Stephen Cave United Kingdom
Henrik Skaug Sætra Norway
Joy Buolamwini United States
Burkhard Schäfer United Kingdom
Anna Lauren Hoffmann United States
Daniel Schiff United States
Robert Madelin Belgium
Patrice Chazerand Switzerland
John Danaher Ireland
Abeba Birhane relative to Patrick Allo Belgium Patrick Allo's profile →
Citations per field
00.5×1.5×1.9×
Patrick Allo · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Abeba Birhane, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Abeba Birhane Line = papers co-authored together Abeba Birhane links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Algorithmic injustice: a relational ethics approach
Hit paper breakdown →
2021293
2 2023181
3
The Values Encoded in Machine Learning Research
Hit paper breakdown →
2022155
4 2021148
5 2020112
6
How AI can distort human beliefs
Hit paper breakdown →
202384
7 202177
8 202277
9
Conversational AI: Social and Ethical Considerations.
201946
10 202435
11 202230
12 202217
13 202317
14 202215
15 202210
16 20239
17 20259
18 20248
19 20247
20 20247

About Abeba Birhane

Abeba Birhane is a scholar working on Safety Research, Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (14 papers), Neuroethics, Human Enhancement, Biomedical Innovations (4 papers), Explainable Artificial Intelligence (XAI) (4 papers), Face recognition and analysis (3 papers), Hate Speech and Cyberbullying Detection (2 papers), Free Will and Agency (2 papers), Psychology of Moral and Emotional Judgment (2 papers) and Misinformation and Its Impacts (2 papers). The work is most often cited by research in Health Informatics (177 citations), Safety Research (456 citations), Artificial Intelligence (466 citations), Computer Science Applications (64 citations) and Human-Computer Interaction (54 citations). Abeba Birhane has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Vinay Uday Prabhu, David Leslie, Atoosa Kasirzadeh, Sandra Wachter, Celeste Kidd, Pratyusha Kalluri, William S. Agnew, Dallas Card, Anthony Ventresque and Thomas Laurent. Their work appears in journals such as Nature, First Monday, Patterns, Mathematical Biosciences and Cell.

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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