Paul Compton

3.3k total citations
81 papers, 1.6k citations indexed

About

Paul Compton is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Paul Compton has authored 81 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 17 papers in Information Systems and 12 papers in Molecular Biology. Recurrent topics in Paul Compton's work include Semantic Web and Ontologies (26 papers), AI-based Problem Solving and Planning (19 papers) and Logic, Reasoning, and Knowledge (10 papers). Paul Compton is often cited by papers focused on Semantic Web and Ontologies (26 papers), AI-based Problem Solving and Planning (19 papers) and Logic, Reasoning, and Knowledge (10 papers). Paul Compton collaborates with scholars based in Australia, Spain and South Korea. Paul Compton's co-authors include R.J.G. Jansen, Brian R. Gaines, George A. Smythe, Leslie Lazarus, L. Lazarus, J. R. Quinlan, Achim Hoffmann, Filippo Galgani, H. S. Grunstein and John E. Bradshaw and has published in prestigious journals such as Nature, New England Journal of Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Paul Compton

77 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Compton Australia 20 844 370 227 176 163 81 1.6k
Jonathan Kelly United States 15 448 0.5× 126 0.3× 222 1.0× 88 0.5× 88 0.5× 32 1.4k
Bruce R. Schatz United States 25 905 1.1× 712 1.9× 339 1.5× 34 0.2× 121 0.7× 94 2.4k
Xiaoying Gao New Zealand 19 421 0.5× 195 0.5× 389 1.7× 35 0.2× 104 0.6× 93 1.4k
Nazar Zaki United Arab Emirates 26 538 0.6× 233 0.6× 590 2.6× 26 0.1× 212 1.3× 166 2.4k
Dilip Kumar Sharma India 20 482 0.6× 495 1.3× 240 1.1× 153 0.9× 18 0.1× 174 1.8k
Jia Zhang China 27 1.1k 1.3× 512 1.4× 362 1.6× 34 0.2× 182 1.1× 87 2.1k
Can Wang China 31 1.6k 1.9× 1.0k 2.7× 262 1.2× 52 0.3× 99 0.6× 228 3.7k
Jason Flannick United States 24 459 0.5× 767 2.1× 959 4.2× 317 1.8× 534 3.3× 48 2.7k
Ahmet Saçan United States 20 262 0.3× 165 0.4× 687 3.0× 43 0.2× 57 0.3× 57 1.7k
Kun Zhang United States 22 647 0.8× 152 0.4× 559 2.5× 25 0.1× 80 0.5× 114 1.9k

Countries citing papers authored by Paul Compton

Since Specialization
Citations

This map shows the geographic impact of Paul Compton'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 Paul Compton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Compton more than expected).

Fields of papers citing papers by Paul Compton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Compton. 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 Paul Compton. The network helps show where Paul Compton may publish in the future.

Co-authorship network of co-authors of Paul Compton

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Compton. A scholar is included among the top collaborators of Paul Compton 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 Paul Compton. Paul Compton 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.
Bain, Michael, et al.. (2023). Responsible Credit Risk Assessment with Machine Learning and Knowledge Acquisition. SHILAP Revista de lepidopterología. 3(3). 232–243. 8 indexed citations
2.
Lau, Annie, et al.. (2010). Clinician Search Behaviors May Be Influenced by Search Engine Design. Journal of Medical Internet Research. 12(2). e25–e25. 9 indexed citations
3.
Compton, Paul, et al.. (2009). An Incremental Knowledge Acquisition Method for Improving Duplicate Invoices Detection. Proceedings - International Conference on Data Engineering. 1415–1418. 8 indexed citations
4.
Compton, Paul, et al.. (2005). A Consistency-Based Approach to Knowledge Base Refinement.. The Florida AI Research Society. 221–225. 1 indexed citations
5.
Compton, Paul, et al.. (2005). A simulation framework for knowledge acquisition evaluation. 353–360. 8 indexed citations
6.
Compton, Paul & Deborah Richards. (2000). Generalising Ripple-Down Rules (Short Paper). 380–386. 4 indexed citations
7.
Compton, Paul & Deborah Richards. (1999). Extending Ripple-Down Rules. 6 indexed citations
8.
Compton, Paul, Ziad Ramadan, Quôc Thông Lê Gia, et al.. (1998). A Trade-Off Between Domain Knowledge and Problem-Solving Method Power. UNSWorks (University of New South Wales, Sydney, Australia). 6 indexed citations
9.
Richards, Deborah & Paul Compton. (1997). Finding Conceptual Models to Assist Validation. Infection and Immunity. 55(11). 2838–40. 2 indexed citations
10.
Edwards, Glenn A., et al.. (1995). Prudent expert systems with credentials: managing the expertise of decision support systems. International Journal of Bio-Medical Computing. 40(2). 125–132. 18 indexed citations
11.
Sammut, Claude, et al.. (1994). Helping Researchers To Construct Scientific Models: A Tool From Inductive Logic Programming.. 165–168. 1 indexed citations
12.
Menzies, Tim & Paul Compton. (1994). A Precise Semantics For Vague Diagrams. 1 indexed citations
13.
Edwards, Glenn A., et al.. (1993). Peirs: A pathologist-maintained expert system for the interpretation of chemical pathology reports. Pathology. 25(1). 27–34. 77 indexed citations
14.
Mulholland, M., et al.. (1993). An expert system for ion chromatography developed using machine learning and knowledge in context. 258–267. 8 indexed citations
15.
Compton, Paul, et al.. (1992). Ripple down rules: Turning knowledge acquisition into knowledge maintenance. Artificial Intelligence in Medicine. 4(6). 463–475. 45 indexed citations
16.
Cauchi, M.N., Paul Compton, P.A. Elder, et al.. (1989). Sources of improvement in between laboratory variation in estrogen and progestin receptor measurements using tissue samples during the Australasian Quality Assurance Programme. European Journal of Cancer and Clinical Oncology. 25(7). 1087–1093. 4 indexed citations
17.
Compton, Paul, et al.. (1988). The Knowledge Dictionary: A Relational Tool for the Maintenance of Expert Systems.. Future Generation Computer Systems. 25(3). 1159–1167. 5 indexed citations
18.
Duncan, Mark W., Paul Compton, Leslie Lazarus, & George A. Smythe. (1988). Measurement of Norepinephrine and 3,4-Dihydroxyphenylglycol in Urine and Plasma for the Diagnosis of Pheochromocytoma. New England Journal of Medicine. 319(3). 136–142. 84 indexed citations
19.
McGinley, R, et al.. (1987). Estrogen and progesterone receptor assays in human breast cancer: Sources of variation between laboratories. European Journal of Cancer and Clinical Oncology. 23(7). 999–1004. 7 indexed citations
20.
Compton, Paul, et al.. (1985). An Expert System for the Interpretation of Thyroid Assays in a Clinical Laboratory.. Australian Computer Journal. 17. 7–11. 35 indexed citations

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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