Zoltán Illés

1.1k total citations
83 papers, 573 citations indexed

About

Zoltán Illés is a scholar working on Computer Science Applications, Education and Information Systems. According to data from OpenAlex, Zoltán Illés has authored 83 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Science Applications, 18 papers in Education and 17 papers in Information Systems. Recurrent topics in Zoltán Illés's work include Online Learning and Analytics (24 papers), Experimental Learning in Engineering (10 papers) and Innovative Teaching Methods (8 papers). Zoltán Illés is often cited by papers focused on Online Learning and Analytics (24 papers), Experimental Learning in Engineering (10 papers) and Innovative Teaching Methods (8 papers). Zoltán Illés collaborates with scholars based in Hungary, India and Slovakia. Zoltán Illés's co-authors include Chaman Verma, Veronika Stoffová, Arpit Jain, Maria Simona Raboacă, Neeraj Kumar, Sudeep Tanwar, Deepak Kumar, Bogdan-Constantin Neagu, Sandeep Kumar and Shilpa Rani and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Zoltán Illés

69 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zoltán Illés Hungary 14 164 126 103 102 90 83 573
Abhay Bansal India 14 168 1.0× 220 1.7× 130 1.3× 246 2.4× 37 0.4× 109 716
Ingrid Russell United States 13 138 0.8× 197 1.6× 78 0.8× 119 1.2× 20 0.2× 61 484
Mauro Coccoli Italy 13 110 0.7× 99 0.8× 132 1.3× 199 2.0× 56 0.6× 59 594
Nawal Sael Morocco 12 45 0.3× 250 2.0× 75 0.7× 132 1.3× 19 0.2× 62 536
Yazan A. Alsariera Saudi Arabia 11 80 0.5× 170 1.3× 127 1.2× 179 1.8× 15 0.2× 31 449
Pedro G. Espejo Spain 3 389 2.4× 507 4.0× 84 0.8× 219 2.1× 91 1.0× 6 855
Shuzlina Abdul-Rahman Malaysia 12 48 0.3× 162 1.3× 35 0.3× 102 1.0× 14 0.2× 94 591
Elena Gaudioso Spain 13 112 0.7× 159 1.3× 33 0.3× 191 1.9× 40 0.4× 34 513
Alaa Khalaf Hamoud Iraq 12 229 1.4× 166 1.3× 104 1.0× 127 1.2× 51 0.6× 37 521
Nguyen Thai-Nghe Vietnam 16 533 3.3× 658 5.2× 94 0.9× 352 3.5× 39 0.4× 42 1.1k

Countries citing papers authored by Zoltán Illés

Since Specialization
Citations

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

Fields of papers citing papers by Zoltán Illés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zoltán Illés

This figure shows the co-authorship network connecting the top 25 collaborators of Zoltán Illés. A scholar is included among the top collaborators of Zoltán Illés 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 Zoltán Illés. Zoltán Illés 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.
Kumar, Deepak, et al.. (2025). LivXAI-Net: An explainable AI framework for liver disease diagnosis with IoT-based real-time monitoring support. Computer Methods and Programs in Biomedicine. 270. 108950–108950. 2 indexed citations
2.
Verma, Chaman, Zoltán Illés, & Deepak Kumar. (2024). TCLPI: Machine Learning-Driven Framework for Hybrid Learning Mode Identification. IEEE Access. 12. 98029–98045. 2 indexed citations
3.
Kumar, Adesh, et al.. (2024). Sequential logic circuit gold codes for electronics and communication technologies. MethodsX. 12. 102602–102602. 3 indexed citations
4.
Verma, Chaman, Zoltán Illés, & Deepak Kumar. (2024). An investigation of novel features for predicting student happiness in hybrid learning platforms – An exploration using experiments on trace data. International Journal of Information Management Data Insights. 4(1). 100219–100219. 6 indexed citations
5.
Kumar, Adesh, et al.. (2024). Comparative exploration on EEG signal filtering using window control methods. Results in Control and Optimization. 17. 100485–100485. 3 indexed citations
6.
Kumar, Deepak, et al.. (2023). goldenAGER: A Personalized Feature Fusion Activity Recognition Model for Elderly. IEEE Access. 11. 56766–56784. 13 indexed citations
7.
Jain, Arpit, et al.. (2023). An enhanced self-learning-based clustering scheme for real-time traffic data distribution in wireless networks. Heliyon. 9(7). e17530–e17530. 30 indexed citations
8.
9.
Jain, Arpit, et al.. (2022). Improved Security of E-Healthcare Images Using Hybridized Robust Zero-Watermarking and Hyper-Chaotic System along with RSA. Mathematics. 10(7). 1071–1071. 26 indexed citations
10.
Verma, Chaman, Zoltán Illés, & Deepak Kumar. (2022). (SDGFI) Student’s Demographic and Geographic Feature Identification Using Machine Learning Techniques for Real-Time Automated Web Applications. Mathematics. 10(17). 3093–3093. 3 indexed citations
11.
Kumar, Sandeep, Shilpa Rani, Arpit Jain, et al.. (2022). Face Spoofing, Age, Gender and Facial Expression Recognition Using Advance Neural Network Architecture-Based Biometric System. Sensors. 22(14). 5160–5160. 52 indexed citations
12.
Verma, Chaman, et al.. (2022). Approaches and Challenges in Internet of Robotic Things. Future Internet. 14(9). 265–265. 20 indexed citations
13.
14.
Kumar, Deepak, et al.. (2021). Cardiac Diagnostic Feature and Demographic Identification (CDF-DI): An IoT Enabled Healthcare Framework Using Machine Learning. Sensors. 21(19). 6584–6584. 19 indexed citations
15.
Verma, Chaman, et al.. (2020). Opinion Prediction of Hungarian Students for Real-Time E-Learning Systems: A Futuristic Sustainable Technology-Based Solution. Sustainability. 12(16). 6321–6321. 13 indexed citations
16.
Verma, Chaman, Zoltán Illés, & Veronika Stoffová. (2020). Identifying technology features impacted attitude of Indian students using regression modeling for real-time system. Materials Today Proceedings. 42. 297–303. 2 indexed citations
17.
Verma, Chaman, Zoltán Illés, Veronika Stoffová, & Pradeep Kumar Singh. (2020). Predicting Attitude of Indian Student’s Towards ICT and Mobile Technology for Real-Time: Preliminary Results. IEEE Access. 8. 178022–178033. 9 indexed citations
18.
Verma, Chaman, Veronika Stoffová, Zoltán Illés, Sudeep Tanwar, & Neeraj Kumar. (2020). Machine Learning-Based Student’s Native Place Identification for Real-Time. IEEE Access. 8. 130840–130854. 65 indexed citations
19.
Illés, Zoltán, et al.. (2020). Towards the Real-Time analysis of Talks. 322–327. 10 indexed citations
20.
Verma, Chaman, et al.. (2019). Gender Prediction of Indian and Hungarian Students Towards ICT and Mobile Technology for the Real-Time. International Journal of Innovative Technology and Exploring Engineering. 8(9S3). 1260–1264. 7 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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