Damian Eke

29 papers receiving 927 citations

Damian Eke's Hit Papers

The ethics of ChatGPT – Exploring the ethical issues of an emerging technology 2023 · 276 citations
2760+1+2Years since publication100200300

Peers

Damian Eke
Comparison fields: 5 of 108
  • Health Informatics 350
  • Safety Research 233
  • Computer Science Applications 121
  • Business and International Management 19
  • Information Systems and Management 63
Replace Emre Kazim with:
Emre Kazim United Kingdom
Nishith Reddy Mannuru United States
Rowena Rodrigues United Kingdom
Grant Cooper Australia
Mohammadreza Farrokhnia Netherlands
Madeleine Clare Elish United States
Sage Kelly Netherlands
Whitney Zhang United States
David Santandreu Calonge United Arab Emirates
Damian Eke relative to Emre Kazim United Kingdom Emre Kazim's profile →
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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 31 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 →
2023324
2
The ethics of ChatGPT – Exploring the ethical issues of an emerging technology
Hit paper breakdown →
2023276
3 202152
4 202149
5 202147
6 202335
7 202124
8 202420
9 202220
10 202118
11 202315
12 202212
13 202311
14 202410
15 202210
16 20227
17 20216
18
THE ROLE OF DATA GOVERNANCE IN THE DEVELOPMENT OF INCLUSIVE SMART CITIES
20205
19 20244
20 20234

About Damian Eke

Damian Eke is a scholar working on Safety Research, Cognitive Neuroscience, Sociology and Political Science, Information Systems and Health Informatics, having authored 31 papers that have together received 969 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (9 papers), Neuroethics, Human Enhancement, Biomedical Innovations (7 papers), Artificial Intelligence in Healthcare and Education (4 papers), Ethics in Clinical Research (4 papers), Economic Growth and Development (3 papers), FinTech, Crowdfunding, Digital Finance (3 papers), Privacy, Security, and Data Protection (3 papers) and Corruption and Economic Development (2 papers). The work is most often cited by research in Health Informatics (350 citations), Safety Research (233 citations), Computer Science Applications (121 citations), Business and International Management (19 citations) and Information Systems and Management (63 citations). Damian Eke has collaborated with scholars based in United Kingdom, Nigeria and United States. Frequent co-authors include Bernd Carsten Stahl, Kutoma Wakunuma, George Ogoh, Simisola Akintoye, William Knight, Inga Ulnicane, Ricardo Chavarriaga, Edda Thiels, Takashi Hanakawa and Michele Farisco. Their work appears in journals such as Frontiers in Neuroinformatics, Journal of Information Communication and Ethics in Society, Scientific Data, International Journal of Information Management and PLoS ONE.

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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