Ivan Bratko

6.6k total citations
139 papers, 3.0k citations indexed

About

Ivan Bratko is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Ivan Bratko has authored 139 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Artificial Intelligence, 18 papers in Information Systems and 18 papers in Computational Theory and Mathematics. Recurrent topics in Ivan Bratko's work include AI-based Problem Solving and Planning (41 papers), Rough Sets and Fuzzy Logic (16 papers) and Artificial Intelligence in Games (14 papers). Ivan Bratko is often cited by papers focused on AI-based Problem Solving and Planning (41 papers), Rough Sets and Fuzzy Logic (16 papers) and Artificial Intelligence in Games (14 papers). Ivan Bratko collaborates with scholars based in Slovenia, United Kingdom and United States. Ivan Bratko's co-authors include Igor Kononenko, Marko Bohanec, Blaž Zupan, Bojan Cestnik, Sašo Džeroski, Janez Demšar, Aleks Jakulin, Ryszard S. Michalski, Tim Niblett and Martin Možina and has published in prestigious journals such as Bioinformatics, Communications of the ACM and Expert Systems with Applications.

In The Last Decade

Ivan Bratko

132 papers receiving 2.7k citations

Peers

Ivan Bratko
Comparison fields: 5 of 177
  • Artificial Intelligence 1.8k
  • Information Systems 662
  • Computational Theory and Mathematics 440
  • Molecular Biology 311
  • Computer Vision and Pattern Recognition 299
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Johannes Fürnkranz Germany
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Citations per field, relative to Ivan Bratko
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Citations per year, relative to Ivan Bratko
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Countries citing papers authored by Ivan Bratko

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Bratko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Bratko

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Bratko. A scholar is included among the top collaborators of Ivan Bratko 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 Ivan Bratko. Ivan Bratko 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
# Work Indexed citations
1 16
2
A Multi-Strategy Architecture for On-Line Learning of Robotic Behaviours using Qualitative Reasoning
3
3
Assessing the Difficulty of Chess Tactical Problems
6
4
Learning to Explain with ABML.
3
5
LRTA* Works Much Better with Pessimistic Heuristics
0
6
Likelihood based classification in Bayesian networks
1
7
Argument Based Rule Learning
6
8
Pessimistic Heuristics Beat Optimistic Ones in Real-Time Search
9
9
Why minimax works: an alternative explanation
6
10
Categorization of Numerical Values for DEX Hierarchical Models.
2
11
Qualitative Trees Applied to Bicycle Riding.
5
12
Induction of Concept Hierarchies from Noisy Data
1
13
Modelling operator's skill by machine learning
1
14
Symbolic and qualitative reconstruction of control skill.
2
15
Machine Learning and Data Mining; Methods and Applications
225
16
A dataset decomposition approach to data mining and machine discovery
5
17
Machine Learning by Function Decomposition
40
18
Learning to control dynamic systems
12
19
Reconstructing human skill with machine learning
32
20
Varying levels of abstraction in qualitative modeling
1

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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