Dimitris Kalles

2.0k total citations
125 papers, 1.1k citations indexed

About

Dimitris Kalles is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Dimitris Kalles has authored 125 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 22 papers in Information Systems and 18 papers in Computer Science Applications. Recurrent topics in Dimitris Kalles's work include Artificial Intelligence in Games (13 papers), Reinforcement Learning in Robotics (12 papers) and Online Learning and Analytics (12 papers). Dimitris Kalles is often cited by papers focused on Artificial Intelligence in Games (13 papers), Reinforcement Learning in Robotics (12 papers) and Online Learning and Analytics (12 papers). Dimitris Kalles collaborates with scholars based in Greece, Cyprus and United Kingdom. Dimitris Kalles's co-authors include Georgios Feretzakis, Vassilios S. Verykios, Tim Morris, Aikaterini Sakagianni, Chairi Kiourt, Evangelos Loupelis, Christos Pierrakeas, Christos Panagiotakopoulos, Pavlos Myrianthefs and Argyro Sgourou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Computers & Education.

In The Last Decade

Dimitris Kalles

111 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dimitris Kalles Greece 17 396 166 144 116 113 125 1.1k
Alessandra Sala Italy 19 564 1.4× 352 2.1× 32 0.2× 16 0.1× 49 0.4× 72 1.9k
Artur Dubrawski United States 16 308 0.8× 70 0.4× 31 0.2× 11 0.1× 18 0.2× 97 1.2k
Shahab Saquib Sohail India 19 408 1.0× 293 1.8× 10 0.1× 10 0.1× 44 0.4× 98 1.1k
Cristina Soguero-Ruíz Spain 18 416 1.1× 47 0.3× 46 0.3× 49 0.4× 3 0.0× 81 1.1k
Khalid Saleem Pakistan 15 205 0.5× 120 0.7× 5 0.0× 8 0.1× 14 0.1× 68 667
Shubhashis Sengupta India 17 267 0.7× 390 2.3× 4 0.0× 38 0.3× 49 0.4× 68 969
Hercules Dalianis Sweden 23 1.3k 3.4× 113 0.7× 14 0.1× 12 0.1× 11 0.1× 124 1.8k
Vladan Radosavljević United States 21 758 1.9× 246 1.5× 5 0.0× 9 0.1× 8 0.1× 69 2.0k
Rakesh Kumar Yadav India 19 70 0.2× 69 0.4× 3 0.0× 27 0.2× 12 0.1× 152 1.1k
Jeffrey Sorensen United States 21 1.5k 3.9× 232 1.4× 23 0.2× 36 0.3× 15 0.1× 58 2.2k

Countries citing papers authored by Dimitris Kalles

Since Specialization
Citations

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

Fields of papers citing papers by Dimitris Kalles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimitris Kalles

This figure shows the co-authorship network connecting the top 25 collaborators of Dimitris Kalles. A scholar is included among the top collaborators of Dimitris Kalles 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 Dimitris Kalles. Dimitris Kalles 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.
Rigas, Dimitrios, et al.. (2025). From Preliminary Urinalysis to Decision Support: Machine Learning for UTI Prediction in Real-World Laboratory Data. Journal of Personalized Medicine. 15(5). 200–200.
2.
Karapiperis, Dimitrios, et al.. (2025). Explainable AI for URL Threat Detection in Healthcare Cybersecurity: A Case Study Using LIME and SHAP. Studies in health technology and informatics. 328. 246–250.
3.
4.
Feretzakis, Georgios, Aikaterini Sakagianni, Dimitrios Karapiperis, et al.. (2024). Machine Learning in Medical Triage: A Predictive Model for Emergency Department Disposition. Applied Sciences. 14(15). 6623–6623. 6 indexed citations
5.
6.
Kalles, Dimitris, et al.. (2024). Comparative analysis of neural network architectures for short-term FOREX forecasting. Intelligent Decision Technologies. 18(3). 2177–2190. 1 indexed citations
7.
8.
Sakagianni, Aikaterini, et al.. (2024). The Synergy of Machine Learning and Epidemiology in Addressing Carbapenem Resistance: A Comprehensive Review. Antibiotics. 13(10). 996–996. 7 indexed citations
9.
Gkoulalas-Divanis, Aris, et al.. (2024). Exploiting Properties of Student Networks to Enhance Learning in Distance Education. Information. 15(4). 234–234. 2 indexed citations
10.
11.
Feretzakis, Georgios, Dimitris Kalles, Vassilios S. Verykios, et al.. (2023). The optical classification of the difficult sessile serrated lesions using convolutional neural networks trained with white light endoscopic images. Endoscopy. 55(S 02). S235–S235. 1 indexed citations
12.
Feretzakis, Georgios, Lazaros Tzelves, Dimitris Kalles, et al.. (2023). Training ChatGPT Models in Assisting Urologists in Daily Practice. Studies in health technology and informatics. 305. 576–579. 16 indexed citations
13.
Sakagianni, Aikaterini, et al.. (2023). Automated ML Techniques for Predicting COVID-19 Mortality in the ICU. Studies in health technology and informatics. 305. 517–520. 5 indexed citations
14.
Sakagianni, Aikaterini, Georgios Feretzakis, Dimitris Kalles, et al.. (2023). Using Machine Learning to Predict Antimicrobial Resistance―A Literature Review. Antibiotics. 12(3). 452–452. 75 indexed citations
15.
Feretzakis, Georgios, Evangelos Loupelis, Aikaterini Sakagianni, et al.. (2020). Using Machine Learning Algorithms to Predict Antimicrobial Resistance and Assist Empirical Treatment. Studies in health technology and informatics. 272. 75–78. 21 indexed citations
16.
Feretzakis, Georgios, Dimitris Kalles, & Vassilios S. Verykios. (2019). Hiding Decision Tree Rules in Medical Data: A Case Study. Studies in health technology and informatics. 262. 368–371. 4 indexed citations
17.
Kalles, Dimitris, et al.. (2018). A 3D Virtual Reality Laboratory as a Supplementary Educational Preparation Tool for a Biology Course. European Journal of Open Distance and E-Learning. 21(2). 6 indexed citations
18.
Likas, Aristidis, Konstantinos Blekas, & Dimitris Kalles. (2014). Artificial Intelligence: Methods and Applications 8th Hellenic Conference on AI, SETN 2014, Ioannina, Greece, May, 15-17, 2014, Proceedings. DIAL (Catholic University of Leuven). 2 indexed citations
19.
Kalles, Dimitris, et al.. (2004). Productionizing of Streaming Educational Material. European Journal of Open Distance and E-Learning. 7(1). 2 indexed citations
20.
Kalles, Dimitris, et al.. (2001). Breeding Decision Trees Using Evolutionary Techniques. International Conference on Machine Learning. 393–400. 60 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Alessandra Sala Breakdown of academic impact, for papers by Artur Dubrawski Breakdown of academic impact, for papers by Shahab Saquib Sohail Breakdown of academic impact, for papers by Cristina Soguero-Ruíz Breakdown of academic impact, for papers by Khalid Saleem Breakdown of academic impact, for papers by Shubhashis Sengupta Breakdown of academic impact, for papers by Hercules Dalianis Breakdown of academic impact, for papers by Vladan Radosavljević Breakdown of academic impact, for papers by Rakesh Kumar Yadav Breakdown of academic impact, for papers by Jeffrey Sorensen
Rankless by CCL
2026