Jacek Mańdziuk
- Artificial Intelligence top 2%
- Industrial and Manufacturing Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 5%
- Automotive Engineering top 10%
- Co-authors
- Maciej ŚwiechowskiYew-Soon OngAbhishek GuptaWłodzisław DuchChai QuekLokendra ShastriMarcin WoźniakHyunsoo Park
- Topics
- Neural Networks and Applications (20 papers)Artificial Intelligence in Games (17 papers)Metaheuristic Optimization Algorithms Research (16 papers)
- Journals
- European Journal of Operational ResearchExpert Systems with ApplicationsACM Computing Surveys
- Partner nations
- PolandSingaporeUnited States
In The Last Decade
Jacek Mańdziuk
97 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 549
- Industrial and Manufacturing Engineering 232
- Computer Vision and Pattern Recognition 178
- Computational Theory and Mathematics 140
- Automotive Engineering 110
Countries citing papers authored by Jacek Mańdziuk
This map shows the geographic impact of Jacek Mańdziuk'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 Jacek Mańdziuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacek Mańdziuk more than expected).
Fields of papers citing papers by Jacek Mańdziuk
This network shows the impact of papers produced by Jacek Mańdziuk. 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 Jacek Mańdziuk. The network helps show where Jacek Mańdziuk may publish in the future.
Co-authorship network of co-authors of Jacek Mańdziuk
This figure shows the co-authorship network connecting the top 25 collaborators of Jacek Mańdziuk. A scholar is included among the top collaborators of Jacek Mańdziuk 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 Jacek Mańdziuk. Jacek Mańdziuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 0 | |
| 13 | 11 | |
| 14 | 7 | |
| 15 | 2 | |
| 16 | 48 | |
| 17 | 23 | |
| 18 | 4 | |
| 19 | 8 | |
| 20 | 13 |
About Jacek Mańdziuk
Jacek Mańdziuk is a scholar working on Artificial Intelligence, General Decision Sciences and Computer Vision and Pattern Recognition, having authored 103 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (20 papers), Artificial Intelligence in Games (17 papers) and Metaheuristic Optimization Algorithms Research (16 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (232 citations), Artificial Intelligence (549 citations) and Automotive Engineering (110 citations). Jacek Mańdziuk has collaborated with scholars based in Poland, Singapore and United States. Frequent co-authors include Maciej Świechowski, Yew-Soon Ong, Abhishek Gupta, Włodzisław Duch, Chai Quek, Lokendra Shastri, Marcin Woźniak, Hyunsoo Park, Kyung-Joong Kim and Dawid Połap. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and ACM Computing Surveys.
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.