Carmel Kent

1.3k total citations · 1 hit paper
25 papers, 763 citations indexed

About

Carmel Kent is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Education. According to data from OpenAlex, Carmel Kent has authored 25 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Developmental and Educational Psychology and 7 papers in Education. Recurrent topics in Carmel Kent's work include Innovative Teaching and Learning Methods (8 papers), Online Learning and Analytics (7 papers) and Online and Blended Learning (5 papers). Carmel Kent is often cited by papers focused on Innovative Teaching and Learning Methods (8 papers), Online Learning and Analytics (7 papers) and Online and Blended Learning (5 papers). Carmel Kent collaborates with scholars based in Israel, United Kingdom and United States. Carmel Kent's co-authors include Mutlu Cukurova, Sheizaf Rafaeli, Hywel T. P. Williams, Chris A. Boulton, Rosemary Luckin, Benedict du Boulay, Joanne R. Smith, Emily Hughes, Noa Sher and Boaz Carmeli and has published in prestigious journals such as PLoS ONE, Communications of the ACM and Computers & Education.

In The Last Decade

Carmel Kent

24 papers receiving 721 citations

Hit Papers

Empowering educators to be AI-ready 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carmel Kent Israel 9 308 288 173 137 128 25 763
Chengyuan Jia Hong Kong 10 391 1.3× 223 0.8× 158 0.9× 130 0.9× 159 1.2× 16 717
Nina Bergdahl Sweden 10 416 1.4× 223 0.8× 108 0.6× 93 0.7× 208 1.6× 23 794
Christian Fischer Germany 17 541 1.8× 335 1.2× 212 1.2× 164 1.2× 154 1.2× 55 1.1k
Sdenka Zobeida Salas‐Pilco China 9 224 0.7× 288 1.0× 87 0.5× 124 0.9× 184 1.4× 20 686
Alexander Whitelock‐Wainwright Australia 14 316 1.0× 454 1.6× 178 1.0× 133 1.0× 122 1.0× 23 740
Mehmet Fırat Türkiye 13 387 1.3× 217 0.8× 102 0.6× 156 1.1× 140 1.1× 79 884
Rianne Conijn Netherlands 11 351 1.1× 417 1.4× 188 1.1× 171 1.2× 135 1.1× 29 784
Joshua Weidlich Germany 12 408 1.3× 282 1.0× 191 1.1× 223 1.6× 166 1.3× 38 1.0k
Young Hoan Cho South Korea 13 501 1.6× 249 0.9× 307 1.8× 129 0.9× 143 1.1× 50 945
Jamie Costley South Korea 16 457 1.5× 206 0.7× 251 1.5× 94 0.7× 138 1.1× 75 805

Countries citing papers authored by Carmel Kent

Since Specialization
Citations

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

Fields of papers citing papers by Carmel Kent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmel Kent

This figure shows the co-authorship network connecting the top 25 collaborators of Carmel Kent. A scholar is included among the top collaborators of Carmel Kent 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 Carmel Kent. Carmel Kent 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.
Cukurova, Mutlu, et al.. (2025). The Impact of Explainable AI on Teachers’ Trust and Acceptance of AI EdTech Recommendations: The Power of Domain-specific Explanations. International Journal of Artificial Intelligence in Education. 35(5). 2889–2922. 1 indexed citations
2.
Aristeidou, Maria, et al.. (2024). Collaboration and care in climate education: Brave responses to an uncertain future. The Curriculum Journal. 36(2). 294–308. 2 indexed citations
3.
Kent, Carmel, Benedict du Boulay, & Mutlu Cukurova. (2022). Keeping the Parents outside the School Gate—A Critical Review. Education Sciences. 12(10). 683–683. 3 indexed citations
4.
Cukurova, Mutlu, et al.. (2022). Empowering educators to be AI-ready. Computers and Education Artificial Intelligence. 3. 100076–100076. 149 indexed citations breakdown →
5.
Kent, Carmel & Benedict du Boulay. (2021). AI for Learning. 1 indexed citations
6.
Kent, Carmel & Mutlu Cukurova. (2020). Investigating Collaboration as a Process with Theory-driven Learning Analytics. Journal of Learning Analytics. 7(1). 23 indexed citations
7.
Sher, Noa, Carmel Kent, & Sheizaf Rafaeli. (2020). Creativity Is Connecting Things: The Role of Network Topology in Fostering Collective Creativity in Multi-Participant Asynchronous Online Discussions. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 5 indexed citations
8.
Cukurova, Mutlu, Rosemary Luckin, & Carmel Kent. (2019). Impact of an Artificial Intelligence Research Frame on the Perceived Credibility of Educational Research Evidence. International Journal of Artificial Intelligence in Education. 30(2). 205–235. 48 indexed citations
9.
Kent, Carmel, et al.. (2019). The Relationship Between Offline Social Capital and Online Learning Interactions. International journal of communication. 13. 26. 13 indexed citations
10.
Boulton, Chris A., Emily Hughes, Carmel Kent, Joanne R. Smith, & Hywel T. P. Williams. (2019). Student engagement and wellbeing over time at a higher education institution. PLoS ONE. 14(11). e0225770–e0225770. 127 indexed citations
11.
Cukurova, Mutlu, Carmel Kent, & Rosemary Luckin. (2019). Artificial intelligence and multimodal data in the service of human decision‐making: A case study in debate tutoring. British Journal of Educational Technology. 50(6). 3032–3046. 102 indexed citations
12.
Kent, Carmel, Chris A. Boulton, & Hywel T. P. Williams. (2017). Towards measurement of the relationship between student engagement and learning outcomes at a bricks-and-mortar university. Open Research Online (The Open University). 4–14. 4 indexed citations
13.
Kent, Carmel, et al.. (2016). Interactivity in online discussions and learning outcomes. Computers & Education. 97. 116–128. 163 indexed citations
14.
Kent, Carmel & Sheizaf Rafaeli. (2016). How Interactive is a Semantic Network? Concept Maps and Discourse in Knowledge Communities. 13. 2095–2104. 6 indexed citations
15.
Kali, Yael, Iris Tabak, Dani Ben‐Zvi, et al.. (2015). Technology-Enhanced Learning Communities on a Continuum between Ambient to Designed: What Can We Learn by Synthesizing Multiple Research Perspectives?. Computer Supported Collaborative Learning. 615–622. 5 indexed citations
16.
Carmeli, Boaz, Paolo G. Casali, Carmel Kent, et al.. (2012). Evicase: An Evidence-based Case Structuring Approach for Personalized Healthcare. Studies in health technology and informatics. 180. 604–8. 4 indexed citations
17.
Slonim, Noam, et al.. (2012). Knowledge-Analytics Synergy in Clinical Decision Support. Studies in health technology and informatics. 180. 703–7. 8 indexed citations
18.
19.
Kent, Carmel, Moshe Lewenstein, & Dafna Sheinwald. (2011). On demand string sorting over unbounded alphabets. Theoretical Computer Science. 426-427. 66–74. 2 indexed citations
20.
Kent, Carmel, Gad M. Landau, & Michal Ziv-Ukelson. (2006). On the Complexity of Sparse Exon Assembly. Journal of Computational Biology. 13(5). 1013–1027. 2 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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