Jérémie Clos

442 total citations
27 papers, 228 citations indexed

About

Jérémie Clos is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Jérémie Clos has authored 27 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Sociology and Political Science and 6 papers in Information Systems. Recurrent topics in Jérémie Clos's work include Misinformation and Its Impacts (8 papers), Hate Speech and Cyberbullying Detection (5 papers) and Artificial Intelligence in Law (3 papers). Jérémie Clos is often cited by papers focused on Misinformation and Its Impacts (8 papers), Hate Speech and Cyberbullying Detection (5 papers) and Artificial Intelligence in Law (3 papers). Jérémie Clos collaborates with scholars based in United Kingdom, Belgium and France. Jérémie Clos's co-authors include Nazia Hameed, Joel E. Fischer, Max L. Wilson, Horia A. Maior, Svenja Adolphs, Dawn Knight, Nirmalie Wiratunga, Stewart Massie, Virginia Portillo and Liz Dowthwaite and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Medical Internet Research.

In The Last Decade

Jérémie Clos

22 papers receiving 222 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jérémie Clos United Kingdom 7 102 58 30 28 23 27 228
Ruibo Liu China 12 177 1.7× 49 0.8× 50 1.7× 34 1.2× 13 0.6× 33 304
Mike Schaekermann United States 13 145 1.4× 159 2.7× 52 1.7× 33 1.2× 25 1.1× 24 409
Surabhi Adhikari India 10 142 1.4× 37 0.6× 20 0.7× 13 0.5× 11 0.5× 13 299
Viet Dac Lai United States 8 216 2.1× 17 0.3× 21 0.7× 11 0.4× 17 0.7× 21 293
Jason Walonoski United States 7 273 2.7× 21 0.4× 25 0.8× 24 0.9× 6 0.3× 9 436
Francisco Maria Calisto Portugal 8 184 1.8× 85 1.5× 36 1.2× 11 0.4× 10 0.4× 9 340
Mehrnoosh Sameki United States 6 126 1.2× 15 0.3× 81 2.7× 12 0.4× 19 0.8× 14 263
Heliodoro Tejeda United States 6 78 0.8× 27 0.5× 10 0.3× 7 0.3× 9 0.4× 6 190
Mario Jojoa Spain 8 156 1.5× 27 0.5× 41 1.4× 18 0.6× 3 0.1× 14 291
Jahangir Mohammed India 8 35 0.3× 13 0.2× 20 0.7× 40 1.4× 36 1.6× 11 317

Countries citing papers authored by Jérémie Clos

Since Specialization
Citations

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

Fields of papers citing papers by Jérémie Clos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérémie Clos

This figure shows the co-authorship network connecting the top 25 collaborators of Jérémie Clos. A scholar is included among the top collaborators of Jérémie Clos 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 Jérémie Clos. Jérémie Clos 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.
Seabrooke, Tina, et al.. (2025). Objection Overruled! Lay People can Distinguish Large Language Models from Lawyers, but still Favour Advice from an LLM. ePrints Soton (University of Southampton). 1–14. 2 indexed citations
2.
Clos, Jérémie, et al.. (2024). “ChatGPT says no”: agency, trust, and blame in Twitter discourses after the launch of ChatGPT. AI and Ethics. 5(1). 653–675. 5 indexed citations
3.
Seabrooke, Tina, et al.. (2024). Large Language Models (LLMs) for Legal Advice: A Scoping Review. SSRN Electronic Journal.
4.
Clos, Jérémie, et al.. (2024). Investigating the Impact of Generative AI on Students and Educators: Evidence and Insights from the Literature. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 1–6. 5 indexed citations
5.
Seabrooke, Tina, et al.. (2024). A Survey of Lay People's Willingness to Generate Legal Advice using Large Language Models (LLMs). ePrints Soton (University of Southampton). 1–5. 3 indexed citations
6.
7.
Hameed, Nazia, et al.. (2024). Designing and Evaluating a Discourse Analysis Dashboard. 1–5. 1 indexed citations
8.
Clos, Jérémie, et al.. (2024). Examining the Feasibility of AI-Generated Questions in Educational Settings. Repository@Nottingham (University of Nottingham). 1–6. 1 indexed citations
9.
10.
Clos, Jérémie, et al.. (2023). Benchmarking framework for machine learning classification from fNIRS data. SHILAP Revista de lepidopterología. 4. 994969–994969. 5 indexed citations
11.
Clos, Jérémie, et al.. (2023). Perceptions of the Agency and Responsibility of the NHS COVID-19 App on Twitter: Critical Discourse Analysis. Journal of Medical Internet Research. 26. e50388–e50388. 1 indexed citations
12.
Clos, Jérémie, et al.. (2023). “The algorithm will screw you”: Blame, social actors and the 2020 A Level results algorithm on Twitter. PLoS ONE. 18(7). e0288662–e0288662. 10 indexed citations
13.
Clos, Jérémie, et al.. (2023). Digital twins for human-assistive robot teams in ambient assisted living. Repository@Nottingham (University of Nottingham). 1–5. 1 indexed citations
14.
Clos, Jérémie, et al.. (2023). A Privacy-Preserving Observatory of Misinformation using Linguistic Markers - A Work in Progress. Repository@Nottingham (University of Nottingham). 1–4.
15.
Andrews, Jacob A, Blandine French, Rebecca L. McNaughton, et al.. (2022). Involving psychological therapy stakeholders in responsible research to develop an automated feedback tool: Learnings from the ExTRAPPOLATE project. SHILAP Revista de lepidopterología. 11. 100044–100044. 1 indexed citations
16.
Malins, Sam, Grazziela P. Figueredo, Tahseen Jilani, et al.. (2022). Developing an Automated Assessment of In-session Patient Activation for Psychological Therapy: Codevelopment Approach. JMIR Medical Informatics. 10(11). e38168–e38168. 3 indexed citations
17.
Knight, Dawn, et al.. (2022). The reception of public health messages during the COVID-19 pandemic. PubMed. 3(1). 100037–100037. 20 indexed citations
18.
Dowthwaite, Liz, Joel E. Fischer, Elvira Pérez Vallejos, et al.. (2022). The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UK. PLoS ONE. 17(10). e0276661–e0276661. 10 indexed citations
19.
Hameed, Nazia, et al.. (2021). A Review of Computer-Aided Expert Systems for Breast Cancer Diagnosis. Cancers. 13(11). 2764–2764. 26 indexed citations
20.
Wiratunga, Nirmalie, et al.. (2017). A convolutional Siamese network for developing similarity knowledge in the SelfBACK dataset.. Open Access Institutional Repository at Robert Gordon University (Robert Gordon University). 85–94. 9 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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