Panayiotis Pintelas

1000 total citations · 1 hit paper
7 papers, 702 citations indexed

About

Panayiotis Pintelas is a scholar working on Artificial Intelligence, Information Systems and Management Information Systems. According to data from OpenAlex, Panayiotis Pintelas has authored 7 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Information Systems and 1 paper in Management Information Systems. Recurrent topics in Panayiotis Pintelas's work include Data Mining Algorithms and Applications (2 papers), Intelligent Tutoring Systems and Adaptive Learning (1 paper) and Artificial Intelligence in Healthcare (1 paper). Panayiotis Pintelas is often cited by papers focused on Data Mining Algorithms and Applications (2 papers), Intelligent Tutoring Systems and Adaptive Learning (1 paper) and Artificial Intelligence in Healthcare (1 paper). Panayiotis Pintelas collaborates with scholars based in Greece. Panayiotis Pintelas's co-authors include Sotiris Kotsiantis, Dimitris Kanellopoulos, Christos Pierrakeas, Michalis Xenos and Grigorios N. Beligiannis and has published in prestigious journals such as Studies In Educational Evaluation, Interactive Technology and Smart Education and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Panayiotis Pintelas

5 papers receiving 659 citations

Hit Papers

Handling imbalanced datasets: A review 2006 2026 2012 2019 2006 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Handling imbalanced datasets: A review
    2006 632 citations Sotiris Kotsiantis, Dimitris Kanellopoulos et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Panayiotis Pintelas Greece 5 426 109 92 71 59 7 702
Katsuari Kamei Japan 8 391 0.9× 63 0.6× 76 0.8× 71 1.0× 56 0.9× 58 601
Eric W. Cooper Japan 7 358 0.8× 62 0.6× 78 0.8× 62 0.9× 58 1.0× 50 584
Biswajit Purkayastha India 16 507 1.2× 83 0.8× 126 1.4× 116 1.6× 55 0.9× 68 849
Jesús Maillo Spain 8 325 0.8× 100 0.9× 51 0.6× 81 1.1× 38 0.6× 10 561
José-Francisco Díez-Pastor Spain 17 509 1.2× 115 1.1× 158 1.7× 114 1.6× 31 0.5× 43 913
Miriam Seoane Santos Portugal 11 479 1.1× 54 0.5× 109 1.2× 68 1.0× 34 0.6× 24 835
Darryl N. Davis United Kingdom 13 402 0.9× 90 0.8× 44 0.5× 79 1.1× 46 0.8× 50 801
Geok See Ng Singapore 15 398 0.9× 46 0.4× 60 0.7× 148 2.1× 26 0.4× 56 792
Suhel Hammoud United Kingdom 11 447 1.0× 241 2.2× 96 1.0× 132 1.9× 179 3.0× 16 887
Malak Abdullah Jordan 14 670 1.6× 191 1.8× 43 0.5× 97 1.4× 71 1.2× 50 1.2k

Countries citing papers authored by Panayiotis Pintelas

Since Specialization
Citations

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

Fields of papers citing papers by Panayiotis Pintelas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panayiotis Pintelas

This figure shows the co-authorship network connecting the top 25 collaborators of Panayiotis Pintelas. A scholar is included among the top collaborators of Panayiotis Pintelas 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 Panayiotis Pintelas. Panayiotis Pintelas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Beligiannis, Grigorios N., et al.. (2007). Restartings: A Technique To Improve Classic Genetic Algorithms Performance. Zenodo (CERN European Organization for Nuclear Research). 1(1). 233–236. 1 indexed citations
2.
Kanellopoulos, Dimitris, Sotiris Kotsiantis, & Panayiotis Pintelas. (2006). Ontology-based Learning Applications: A Development Methodology.. 58(9). 27–32. 14 indexed citations
3.
Kotsiantis, Sotiris, Dimitris Kanellopoulos, & Panayiotis Pintelas. (2006). Handling imbalanced datasets: A review. 632 indexed citations breakdown →
4.
Kotsiantis, Sotiris & Panayiotis Pintelas. (2005). Logitboost of Simple Bayesian Classifier. 29(1). 53–60. 43 indexed citations
5.
Kotsiantis, Sotiris & Panayiotis Pintelas. (2004). A HYBRID DECISION SUPPORT TOOL - Using ensemble of classifiers. 448–453. 8 indexed citations
6.
Kotsiantis, Sotiris & Panayiotis Pintelas. (2004). A decision support prototype tool for predicting student performance in an ODL environment. Interactive Technology and Smart Education. 1(4). 253–264.
7.
Pierrakeas, Christos, Michalis Xenos, & Panayiotis Pintelas. (2003). Evaluating and improving educational Material and tutoring aspects of distance learning systems. Studies In Educational Evaluation. 29(4). 335–349. 4 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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