Damian Eke

25 papers receiving 739 citations

Damian Eke's Hit Papers

The ethics of ChatGPT – Exploring the ethical issues of an emerging technology 2023 · 231 citations
2310+1+2Years since publication50100150200250

Peers

Damian Eke
Comparison fields: 5 of 107
  • Health Informatics 299
  • Safety Research 184
  • Computer Science Applications 102
  • Information Systems and Management 59
  • Artificial Intelligence 240
Replace Michael Madaio with:
Michael Madaio United States
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Nishith Reddy Mannuru United States
Grant Cooper Australia
Madeleine Clare Elish United States
Mohammadreza Farrokhnia Netherlands
Meg Young United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Damian Eke, 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 Damian Eke Line = papers co-authored together Damian Eke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ChatGPT and the rise of generative AI: Threat to academic integrity?
Hit paper breakdown →
2023270
2
The ethics of ChatGPT – Exploring the ethical issues of an emerging technology
Hit paper breakdown →
2023231
3 202148
4 202141
5 202137
6 202327
7 202119
8 202116
9 202215
10 202413
11 202210
12 20228
13 20216
14 20245
15
THE ROLE OF DATA GOVERNANCE IN THE DEVELOPMENT OF INCLUSIVE SMART CITIES
20205
16 20234
17 20224
18 20233
19 20233
20 20243

About Damian Eke

Damian Eke is a scholar working on Cognitive Neuroscience, Public Health, Environmental and Occupational Health, Safety Research, Sociology and Political Science and Information Systems, having authored 26 papers that have together received 777 indexed citations. Recurring topics across this work include Neuroethics, Human Enhancement, Biomedical Innovations (7 papers), Ethics in Clinical Research (6 papers), Ethics and Social Impacts of AI (5 papers), Artificial Intelligence in Healthcare and Education (3 papers), Privacy, Security, and Data Protection (3 papers), Functional Brain Connectivity Studies (3 papers), Cell Image Analysis Techniques (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Health Informatics (299 citations), Safety Research (184 citations), Computer Science Applications (102 citations), Information Systems and Management (59 citations) and Artificial Intelligence (240 citations). Damian Eke has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Bernd Carsten Stahl, George Ogoh, Simisola Akintoye, Kutoma Wakunuma, William Knight, Inga Ulnicane, Amy Bernard, Achim Rosemann, Franco Pestilli and Sven Nyholm. Their work appears in journals such as Frontiers in Neuroinformatics, Journal of Information Communication and Ethics in Society, International Journal of Information Management, Journal of Responsible Innovation and Neuroethics.

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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