Patrick G. Clark

443 total citations
22 papers, 165 citations indexed

About

Patrick G. Clark is a scholar working on Information Systems, Computational Theory and Mathematics and Signal Processing. According to data from OpenAlex, Patrick G. Clark has authored 22 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 13 papers in Computational Theory and Mathematics and 9 papers in Signal Processing. Recurrent topics in Patrick G. Clark's work include Rough Sets and Fuzzy Logic (13 papers), Data Mining Algorithms and Applications (13 papers) and Data Management and Algorithms (9 papers). Patrick G. Clark is often cited by papers focused on Rough Sets and Fuzzy Logic (13 papers), Data Mining Algorithms and Applications (13 papers) and Data Management and Algorithms (9 papers). Patrick G. Clark collaborates with scholars based in United States, Poland and Australia. Patrick G. Clark's co-authors include Jerzy W. Grzymala‐Busse, Teresa Mroczek, Cheng Gao, Majid Mirmehdi, Stefano Ermon, Andrew G. Mude, Christopher B. Barrett, Yexiang Xue, Theodoros Damoulas and Russell Toth and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and International Journal of Approximate Reasoning.

In The Last Decade

Patrick G. Clark

19 papers receiving 163 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Patrick G. Clark United States 7 115 89 50 42 40 22 165
Iwan Tri Riyadi Yanto Indonesia 9 81 0.7× 100 1.1× 97 1.9× 39 0.9× 15 0.4× 42 195
Juzhen Dong Japan 4 207 1.8× 142 1.6× 133 2.7× 23 0.5× 35 0.9× 9 252
Piotr Synak Poland 7 65 0.6× 72 0.8× 59 1.2× 14 0.3× 56 1.4× 15 157
Ana María Martínez Spain 9 30 0.3× 52 0.6× 191 3.8× 42 1.0× 27 0.7× 29 233
Mathieu Serrurier France 9 52 0.5× 24 0.3× 145 2.9× 40 1.0× 14 0.3× 17 192
Eloísa Ramírez‐Poussa Spain 11 343 3.0× 111 1.2× 132 2.6× 137 3.3× 83 2.1× 35 365
Rosine Cicchetti France 8 40 0.3× 95 1.1× 53 1.1× 34 0.8× 70 1.8× 19 151
M. Rifqi France 5 28 0.2× 19 0.2× 80 1.6× 37 0.9× 13 0.3× 8 129
A. A. Azzam Egypt 11 214 1.9× 30 0.3× 42 0.8× 215 5.1× 10 0.3× 35 332
H. Prade France 5 70 0.6× 11 0.1× 199 4.0× 65 1.5× 22 0.6× 5 251

Countries citing papers authored by Patrick G. Clark

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Patrick G. Clark

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick G. Clark. A scholar is included among the top collaborators of Patrick G. Clark 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 Patrick G. Clark. Patrick G. Clark 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
1.
Clark, Patrick G., Jerzy W. Grzymala‐Busse, Zdzisław S. Hippe, & Teresa Mroczek. (2024). Mining incomplete data using global and saturated probabilistic approximations based on characteristic sets and maximal consistent blocks. Information Sciences. 662. 120287–120287.
2.
Clark, Patrick G., et al.. (2020). Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Generalized Maximal Consistent Blocks. Procedia Computer Science. 176. 1803–1812. 4 indexed citations
3.
Clark, Patrick G., et al.. (2020). Complexity of rule sets in mining incomplete data using characteristic sets and generalized maximal consistent blocks. Logic Journal of IGPL. 29(2). 124–137. 3 indexed citations
4.
Clark, Patrick G., Cheng Gao, Jerzy W. Grzymala‐Busse, & Teresa Mroczek. (2018). Characteristic sets and generalized maximal consistent blocks in mining incomplete data. Information Sciences. 453. 66–79. 15 indexed citations
5.
Clark, Patrick G. & Arvin Agah. (2015). Firewall Policy Diagram: Structures for Firewall Behavior Comprehension. International journal of network security. 17(2). 150–159. 1 indexed citations
6.
Clark, Patrick G. & Arvin Agah. (2015). Modeling Firewalls for Behavior Analysis. Procedia Computer Science. 62. 159–166. 1 indexed citations
7.
Ermon, Stefano, Yexiang Xue, Russell Toth, et al.. (2015). Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 18 indexed citations
8.
Clark, Patrick G., et al.. (2015). A comparison of two MLEM2 rule induction algorithms extended to probabilistic approximations. Journal of Intelligent Information Systems. 47(3). 515–529. 2 indexed citations
9.
Clark, Patrick G., et al.. (2015). Consistency of incomplete data. Information Sciences. 322. 197–222. 13 indexed citations
10.
El-adaway, Islam H., et al.. (2014). Different Delay Analysis Techniques Applied to the American Institute of Architects A201-2007 Standard Form of Contract. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction. 6(3). 7 indexed citations
11.
Clark, Patrick G., Jerzy W. Grzymala‐Busse, & Zdzisław S. Hippe. (2014). An Analysis of Probabilistic Approximations for Rule Induction from Incomplete Data Sets. Fundamenta Informaticae. 132(3). 365–379. 2 indexed citations
12.
Clark, Patrick G. & Jerzy W. Grzymala‐Busse. (2014). Mining incomplete data with lost values and attribute-concept values. 40. 49–54. 2 indexed citations
13.
Clark, Patrick G., et al.. (2014). Mining incomplete data with singleton, subset and concept probabilistic approximations. Information Sciences. 280. 368–384. 21 indexed citations
14.
Clark, Patrick G., et al.. (2013). Mining Incomplete Data with Many Missing Attribute Values A Comparison of Probabilistic and Rough Set Approaches. 12–17. 2 indexed citations
15.
Grzymala‐Busse, Jerzy W., et al.. (2013). Generalized probabilistic approximations of incomplete data. International Journal of Approximate Reasoning. 55(1). 180–196. 38 indexed citations
16.
Clark, Patrick G. & Jerzy W. Grzymala‐Busse. (2012). Rule Induction using Probabilistic Approximations and Data with Missing Attribute Values. 6 indexed citations
17.
Clark, Patrick G., Arvin Agah, & Gerhard W. Cibis. (2011). Applied Artificial Intelligence Techniques for Identifying the Lazy Eye Vision Disorder. SHILAP Revista de lepidopterología. 20(2). 101–127. 3 indexed citations
18.
Clark, Patrick G. & Jerzy W. Grzymala‐Busse. (2011). Experiments on probabilistic approximations. 144–149. 14 indexed citations
19.
Clark, Patrick G. & Majid Mirmehdi. (2000). Finding Text Regions using Localised Statistical Measures. 68.1–68.10. 6 indexed citations
20.
Clark, Patrick G., et al.. (1960). THE IMPORTANCE OF INDIVIDUAL INDUSTRIES FOR DEFENSE PLANNING.

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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Rankless by CCL
2026