Damian Eke

1.5k total citations · 2 hit papers
26 papers, 777 citations indexed

About

Damian Eke is a scholar working on Cognitive Neuroscience, Public Health, Environmental and Occupational Health and Safety Research. According to data from OpenAlex, Damian Eke has authored 26 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 6 papers in Public Health, Environmental and Occupational Health and 6 papers in Safety Research. Recurrent topics in Damian Eke's work include Neuroethics, Human Enhancement, Biomedical Innovations (7 papers), Ethics in Clinical Research (6 papers) and Ethics and Social Impacts of AI (5 papers). Damian Eke is often cited by papers focused on Neuroethics, Human Enhancement, Biomedical Innovations (7 papers), Ethics in Clinical Research (6 papers) and Ethics and Social Impacts of AI (5 papers). Damian Eke collaborates with scholars based in United Kingdom, United States and Sweden. Damian Eke's co-authors include Bernd Carsten Stahl, George Ogoh, Simisola Akintoye, Kutoma Wakunuma, William Knight, Inga Ulnicane, Amy Bernard, Sean Hill, Obas John Ebohon and Edda Thiels and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Damian Eke

25 papers receiving 739 citations

Hit Papers

ChatGPT and the rise of generative AI: Threat to academic... 2023 2026 2024 2025 2023 2023 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Damian Eke United Kingdom 11 299 240 184 102 85 26 777
Thilo Hagendorff Germany 15 168 0.6× 259 1.1× 261 1.4× 32 0.3× 53 0.6× 31 735
Grant Cooper Australia 11 277 0.9× 307 1.3× 115 0.6× 258 2.5× 136 1.6× 31 1.0k
Emre Kazim United Kingdom 14 149 0.5× 226 0.9× 295 1.6× 110 1.1× 127 1.5× 47 673
Mike Perkins Singapore 13 379 1.3× 262 1.1× 236 1.3× 178 1.7× 69 0.8× 26 861
Madeleine Clare Elish United States 11 141 0.5× 212 0.9× 373 2.0× 42 0.4× 80 0.9× 19 744
Nishith Reddy Mannuru United States 7 359 1.2× 376 1.6× 141 0.8× 176 1.7× 95 1.1× 23 863
Asanka Gunasekara Australia 9 213 0.7× 203 0.8× 82 0.4× 154 1.5× 79 0.9× 21 675
José Fernández Cerero Spain 15 173 0.6× 166 0.7× 88 0.5× 281 2.8× 402 4.7× 51 1.1k
Rowena Rodrigues United Kingdom 10 129 0.4× 166 0.7× 298 1.6× 23 0.2× 80 0.9× 29 666

Countries citing papers authored by Damian Eke

Since Specialization
Citations

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

Fields of papers citing papers by Damian Eke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damian Eke

This figure shows the co-authorship network connecting the top 25 collaborators of Damian Eke. A scholar is included among the top collaborators of Damian Eke 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 Damian Eke. Damian Eke 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.
Caron, Bradley, Peer Herholz, Ankush Gosain, et al.. (2025). A labeled Clinical-MRI dataset of Nigerian brains. Scientific Data. 12(1). 518–518.
2.
Ogoh, George, et al.. (2025). FAIR African brain data: challenges and opportunities. Frontiers in Neuroinformatics. 19. 1530445–1530445. 1 indexed citations
3.
Eke, Damian. (2024). Ethics and Governance of Neurotechnology in Africa: Lessons From AI. PubMed. 3. e56665–e56665. 2 indexed citations
4.
Eke, Damian, et al.. (2024). Perceptions on the Ethical and Legal Principles that Influence Global Brain Data Governance. Neuroethics. 17(2). 3 indexed citations
5.
Wakunuma, Kutoma & Damian Eke. (2024). Africa, ChatGPT, and Generative AI Systems: Ethical Benefits, Concerns, and the Need for Governance. Philosophies. 9(3). 80–80. 5 indexed citations
6.
Ogoh, George, Simisola Akintoye, Damian Eke, et al.. (2023). Developing capabilities for responsible research and innovation (RRI). SHILAP Revista de lepidopterología. 15. 100065–100065. 3 indexed citations
7.
Eke, Damian, Kutoma Wakunuma, & Simisola Akintoye. (2023). Responsible AI in Africa. Repository@Nottingham (University of Nottingham). 27 indexed citations
8.
Eke, Damian, et al.. (2023). Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse. Frontiers in Big Data. 6. 1240660–1240660. 3 indexed citations
9.
Eke, Damian, George Ogoh, William Knight, & Bernd Carsten Stahl. (2023). Time to consider animal data governance: perspectives from neuroscience. Frontiers in Neuroinformatics. 17. 1233121–1233121. 4 indexed citations
10.
Stahl, Bernd Carsten & Damian Eke. (2023). The ethics of ChatGPT – Exploring the ethical issues of an emerging technology. International Journal of Information Management. 74. 102700–102700. 231 indexed citations breakdown →
11.
Wakunuma, Kutoma, et al.. (2022). Responsible AI, SDGs, and AI Governance in Africa. Repository@Nottingham (University of Nottingham). 1–13. 15 indexed citations
12.
Stahl, Bernd Carsten, et al.. (2022). The ethical and legal landscape of brain data governance. PLoS ONE. 17(12). e0273473–e0273473. 10 indexed citations
13.
Eke, Damian & George Ogoh. (2022). Forgotten African AI Narratives and the future of AI in Africa. The International Review of Information Ethics. 31(1). 8 indexed citations
14.
Eke, Damian, et al.. (2022). Nigeria’s Digital Identification (ID) Management Program: Ethical, Legal and Socio-Cultural concerns. SHILAP Revista de lepidopterología. 11. 100039–100039. 4 indexed citations
15.
McBride, Neil, Laurence Brooks, Damian Eke, et al.. (2021). The Digital Network of Networks: Regulatory Risk and Policy Challenges of Vaccine Passports. European Journal of Risk Regulation. 12(2). 393–403. 16 indexed citations
16.
Stahl, Bernd Carsten, Simisola Akintoye, Berit Bringedal, et al.. (2021). From Responsible Research and Innovation to responsibility by design. Journal of Responsible Innovation. 8(2). 175–198. 48 indexed citations
17.
Eke, Damian, Amy Bernard, Jan G. Bjaalie, et al.. (2021). International data governance for neuroscience. Neuron. 110(4). 600–612. 41 indexed citations
18.
Ulnicane, Inga, Damian Eke, William Knight, George Ogoh, & Bernd Carsten Stahl. (2021). Good governance as a response to discontents? Déjà vu, or lessons for AI from other emerging technologies. Interdisciplinary Science Reviews. 46(1-2). 71–93. 37 indexed citations
19.
Akintoye, Simisola, et al.. (2021). Understanding the perceptions of UK COVID-19 contact tracing app in the BAME community in Leicester. Journal of Information Communication and Ethics in Society. 19(4). 521–536. 6 indexed citations
20.
Eke, Damian, Simisola Akintoye, William Knight, et al.. (2021). Pseudonymisation of neuroimages and data protection: Increasing access to data while retaining scientific utility. SHILAP Revista de lepidopterología. 1(4). 100053–100053. 19 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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