Patrick G. Clark
Impact in
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- Rough Sets and Fuzzy Logic
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Rough Sets and Fuzzy Logic 40
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- Data Management and Algorithms 29
- Co-authors
- Jerzy W. Grzymala‐Busse (42 shared papers)Teresa Mroczek (14 shared papers)Cheng Tian Gao (11 shared papers)Majid Mirmehdi (1 shared paper)Arvin Agah (3 shared papers)Yexiang Xue (1 shared paper)Christopher B. Barrett (1 shared paper)Stefano Ermon (1 shared paper)
- Journals
- Information Sciences (4 papers)Lecture notes in computer science (15 papers)Journal of Legal Affairs and Dispute Resolution in Engineering and Construction (1 paper)Journal of Intelligent Information Systems (1 paper)International Journal of Approximate Reasoning (1 paper)
- Partner nations
- United StatesPolandAustralia
In The Last Decade
Patrick G. Clark
46 papers receiving 340 citations
Peers
Comparison fields: 5 of 51
- Computational Theory and Mathematics 271
- Signal Processing 137
- Information Systems 217
- Management Science and Operations Research 67
- Artificial Intelligence 91
Countries citing papers authored by Patrick G. Clark
This map shows the geographic impact of Patrick G. Clark'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 Patrick G. Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick G. Clark more than expected).
Fields of papers citing papers by Patrick G. Clark
This network shows the impact of papers produced by Patrick G. Clark. 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 Patrick G. Clark. The network helps show where Patrick G. Clark may publish in the future.
Co-authors
The 16 scholars most cited alongside Patrick G. Clark, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 61 | |
| 2 | 2011 | 38 | |
| 3 | 2014 | 27 | |
| 4 | 2018 | 18 | |
| 5 | 2012 | 17 | |
| 6 | 2015 | 17 | |
| 7 | 2000 | 14 | |
| 8 | 2012 | 14 | |
| 9 | 2015 | 14 | |
| 10 | 2017 | 8 | |
| 11 | 2018 | 8 | |
| 12 | 2012 | 8 | |
| 13 | 2014 | 7 | |
| 14 | 2013 | 6 | |
| 15 | Mining Incomplete Data with Many Missing Attribute Values A Comparison of Probabilistic and Rough Set Approaches | 2013 | 5 |
| 16 | 2020 | 5 | |
| 17 | 2011 | 5 | |
| 18 | 2019 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2014 | 5 |
About Patrick G. Clark
Patrick G. Clark is a scholar working on Computational Theory and Mathematics, Signal Processing, Information Systems, Artificial Intelligence and Management Science and Operations Research, having authored 50 papers that have together received 344 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (40 papers), Data Mining Algorithms and Applications (36 papers), Data Management and Algorithms (29 papers), Multi-Criteria Decision Making (3 papers), Network Packet Processing and Optimization (2 papers), Reservoir Engineering and Simulation Methods (2 papers), Fuzzy Logic and Control Systems (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Computational Theory and Mathematics (271 citations), Signal Processing (137 citations), Information Systems (217 citations), Management Science and Operations Research (67 citations) and Artificial Intelligence (91 citations). Patrick G. Clark has collaborated with scholars based in United States, Poland and Australia. Frequent co-authors include Jerzy W. Grzymala‐Busse, Teresa Mroczek, Cheng Tian Gao, Majid Mirmehdi, Arvin Agah, Yexiang Xue, Christopher B. Barrett, Stefano Ermon, Bistra Dilkina and Russell Toth. Their work appears in journals such as Information Sciences, Lecture notes in computer science, Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, Journal of Intelligent Information Systems and International Journal of Approximate Reasoning.
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.