Gábor Pataki
- Numerical Analysis top 5%
- Computational Theory and Mathematics top 2%
- Computational Mechanics top 5%
- Industrial and Manufacturing Engineering top 5%
- Electrical and Electronic Engineering
- Co-authors
- Levent TunçelJ. S. MarronElizabeth BullittHaonan WangBurcu AydınSebastián CeriaEgon BalasMilind Dawande
- Topics
- Advanced Optimization Algorithms Research (9 papers)Complexity and Algorithms in Graphs (6 papers)Optimization and Variational Analysis (5 papers)
- Journals
- Operations ResearchJournal of Mathematical Analysis and ApplicationsMathematical Programming
- Partner nations
- United StatesCanada
In The Last Decade
Gábor Pataki
18 papers receiving 459 citations
Peers
Comparison fields: 5 of 75
- Numerical Analysis 232
- Computational Theory and Mathematics 216
- Computational Mechanics 151
- Industrial and Manufacturing Engineering 68
- Electrical and Electronic Engineering 62
Countries citing papers authored by Gábor Pataki
This map shows the geographic impact of Gábor Pataki'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 Gábor Pataki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Pataki more than expected).
Fields of papers citing papers by Gábor Pataki
This network shows the impact of papers produced by Gábor Pataki. 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 Gábor Pataki. The network helps show where Gábor Pataki may publish in the future.
Co-authorship network of co-authors of Gábor Pataki
This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Pataki. A scholar is included among the top collaborators of Gábor Pataki 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 Gábor Pataki. Gábor Pataki 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 | 0 | |
| 3 | 11 | |
| 4 | 13 | |
| 5 | 9 | |
| 6 | 15 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 8 | |
| 11 | 37 | |
| 12 | 32 | |
| 13 | Pre-conditioning integer programs using column basis reduction and geometry and topology of protein structure | 1 |
| 14 | 7 | |
| 15 | 63 | |
| 16 | 40 | |
| 17 | 27 | |
| 18 | 220 | |
| 19 | THE TIME DEPENDENCE OF IRREVERSIBLE PROCESSES IN KNUDSEN GAS | 1 |
About Gábor Pataki
Gábor Pataki is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 19 papers that have together received 515 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (9 papers), Complexity and Algorithms in Graphs (6 papers) and Optimization and Variational Analysis (5 papers). The work is most often cited by research in Numerical Analysis (232 citations), Computational Theory and Mathematics (216 citations) and Computational Mathematics (5 citations). Gábor Pataki has collaborated with scholars based in United States and Canada. Frequent co-authors include Levent Tunçel, J. S. Marron, Elizabeth Bullitt, Haonan Wang, Burcu Aydın, Sebastián Ceria, Egon Balas, Milind Dawande, François Margot and Henry Wolkowicz. Their work appears in journals such as Operations Research, Journal of Mathematical Analysis and Applications and Mathematical Programming.
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.