Igor Kononenko

16.5k citations
133 papers · 12.7k · 5 hit papers · h-index 32

Impact in

Papers in

    • Machine Learning and Data Classification 25
    • Explainable Artificial Intelligence (XAI) 18
    • Machine Learning and Algorithms 8
    • Data Mining Algorithms and Applications 22
    • Data Mining and Machine Learning Applications 14
    • Software Engineering Techniques and Practices 7

Igor Kononenko

127 papers receiving 12.1k citations

Igor Kononenko's Hit Papers

Explaining prediction models and individual predictions with feature contributions 2013 · 1.6k citations
1.6k0+10+21Years since publication5001k1.5k2k2.5k

Peers

Igor Kononenko
Comparison fields: 5 of 206
  • Health Information Management 1.4k
  • Artificial Intelligence 4.6k
  • Health Informatics 176
  • Information Systems 1.5k
  • Computer Vision and Pattern Recognition 1.3k
Replace Pedro Larrañaga with:
Pedro Larrañaga Spain
Rich Caruana United States
W. Philip Kegelmeyer United States
Gregory F. Cooper United States
Giuseppe Jurman Italy
Tin Kam Ho United States
Davide Chicco Italy
Hui Wang China
Ioannis P. Vlahavas Greece
Louis A. Wehenkel Belgium
Igor Kononenko relative to Pedro Larrañaga Spain Pedro Larrañaga's profile →
Citations per field
00.5×2×2.8×
Pedro Larrañaga · 1×
Citations per year

Countries citing papers authored by Igor Kononenko

Since Specialization
Citations

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

Fields of papers citing papers by Igor Kononenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Igor Kononenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Igor Kononenko Line = papers co-authored together Igor Kononenko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Theoretical and Empirical Analysis of ReliefF and RReliefF
Hit paper breakdown →
20032511
2
Estimating attributes: Analysis and extensions of RELIEF
Hit paper breakdown →
19942426
3
Explaining prediction models and individual predictions with feature contributions
Hit paper breakdown →
20131597
4
Machine learning for medical diagnosis: history, state of the art and perspective
Hit paper breakdown →
20011287
5
Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF
Hit paper breakdown →
1997666
6
An adaptation of Relief for attribute estimation in regression
1997396
7
ASSISTANT 86: a knowledge-elicitation tool for sophisticated users
1987353
8 1991273
9
An Efficient Explanation of Individual Classifications using Game Theory
2010264
10 2007240
11 1993239
12
On biases in estimating multi-valued attributes
1995204
13 2008203
14
Cost-Sensitive Learning with Neural Networks.
1998184
15 1991160
16 1999129
17 1989115
18 200986
19 200862
20 199758

About Igor Kononenko

Igor Kononenko is a scholar working on Artificial Intelligence, Information Systems, Health Information Management, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 133 papers that have together received 12.7k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (25 papers), Data Mining Algorithms and Applications (22 papers), Artificial Intelligence in Healthcare (21 papers), Explainable Artificial Intelligence (XAI) (18 papers), Data Mining and Machine Learning Applications (14 papers), Machine Learning and Algorithms (8 papers), Forecasting Techniques and Applications (8 papers) and Software Engineering Techniques and Practices (7 papers). The work is most often cited by research in Health Information Management (1.4k citations), Artificial Intelligence (4.6k citations), Health Informatics (176 citations), Information Systems (1.5k citations) and Computer Vision and Pattern Recognition (1.3k citations). Igor Kononenko has collaborated with scholars based in Slovenia, Ukraine and Serbia. Frequent co-authors include Marko Robnik‐Šikonja, Erik Štrumbelj, Matjaž Kukar, Ivan Bratko A, Bojan Cestnik, Zoran Bosnić, Ciril Grošelj, Se June Hong, Jure Fettich and Nada Lavrač A. Their work appears in journals such as Artificial Intelligence in Medicine, Expert Systems with Applications, Applied Intelligence, Knowledge and Information Systems and Engineering Applications of Artificial Intelligence.

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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