Imre Pólik
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
- Computational Mathematics top 10%
Papers in
-
- Advanced Optimization Algorithms Research 6
-
- Polynomial and algebraic computation 2
- Numerical Methods and Algorithms 1
- Co-authors
- Tamás Terlaky (6 shared papers)Pietro Belotti (3 shared papers)Ted K. Ralphs (3 shared papers)András Prékopa (1 shared paper)István Deák (1 shared paper)András Lörincz (1 shared paper)István Szita (1 shared paper)
- Journals
- Discrete Applied Mathematics (1 paper)Discrete Optimization (1 paper)Cognitive Systems Research (1 paper)Annals of Operations Research (1 paper)Optimization Letters (1 paper)
- Partner nations
- United StatesHungaryNorway
In The Last Decade
Imre Pólik
7 papers receiving 340 citations
Peers
Comparison fields: 5 of 58
- Numerical Analysis 150
- Computational Mathematics 16
- Computational Theory and Mathematics 149
- Control and Systems Engineering 133
- Management Science and Operations Research 66
Countries citing papers authored by Imre Pólik
This map shows the geographic impact of Imre Pólik'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 Imre Pólik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imre Pólik more than expected).
Fields of papers citing papers by Imre Pólik
This network shows the impact of papers produced by Imre Pólik. 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 Imre Pólik. The network helps show where Imre Pólik may publish in the future.
Co-authors
The 7 scholars most cited alongside Imre Pólik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 327 | |
| 2 | 2008 | 22 | |
| 3 | 2013 | 18 | |
| 4 | 2016 | 4 | |
| 5 | Disjunctive conic cuts for mixed integer second order cone optimization | 2015 | 3 |
| 6 | 2003 | 3 | |
| 7 | 2011 | 2 |
About Imre Pólik
Imre Pólik is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Control and Systems Engineering, Computational Mechanics and Artificial Intelligence, having authored 7 papers that have together received 379 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (6 papers), Polynomial and algebraic computation (2 papers), Advanced Control Systems Optimization (2 papers), Vehicle Routing Optimization Methods (1 paper), Blind Source Separation Techniques (1 paper), Reinforcement Learning in Robotics (1 paper), Metaheuristic Optimization Algorithms Research (1 paper) and Numerical Methods and Algorithms (1 paper). The work is most often cited by research in Numerical Analysis (150 citations), Computational Mathematics (16 citations), Computational Theory and Mathematics (149 citations), Control and Systems Engineering (133 citations) and Management Science and Operations Research (66 citations). Imre Pólik has collaborated with scholars based in United States, Hungary and Norway. Frequent co-authors include Tamás Terlaky, Pietro Belotti, Ted K. Ralphs, András Prékopa, István Deák, András Lörincz and István Szita. Their work appears in journals such as Discrete Applied Mathematics, Discrete Optimization, Cognitive Systems Research, Annals of Operations Research and Optimization Letters.
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.