David Perry Greene

467 total citations
10 papers, 299 citations indexed

About

David Perry Greene is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, David Perry Greene has authored 10 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Information Systems and 1 paper in Molecular Biology. Recurrent topics in David Perry Greene's work include Evolutionary Algorithms and Applications (6 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Data Mining Algorithms and Applications (2 papers). David Perry Greene is often cited by papers focused on Evolutionary Algorithms and Applications (6 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Data Mining Algorithms and Applications (2 papers). David Perry Greene collaborates with scholars based in United States. David Perry Greene's co-authors include Stephen F. Smith, Jane L. David, Michael J. Prietula and S. R. Lawrence and has published in prestigious journals such as Machine Learning, Journal of the Association for Information Systems and Evolutionary Computation.

In The Last Decade

David Perry Greene

9 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Perry Greene United States 9 188 71 26 23 17 10 299
Yu‐Liang Chi Taiwan 8 142 0.8× 72 1.0× 12 0.5× 25 1.1× 20 1.2× 26 245
Wayne Hodgins United States 5 159 0.8× 135 1.9× 30 1.2× 7 0.3× 24 1.4× 8 357
Vladimir Ivanov Russia 10 162 0.9× 88 1.2× 5 0.2× 9 0.4× 15 0.9× 53 287
Sean Massung United States 5 107 0.6× 36 0.5× 6 0.2× 15 0.7× 18 1.1× 9 188
Rose Dieng-Kuntz France 11 202 1.1× 111 1.6× 5 0.2× 73 3.2× 15 0.9× 24 292
Kemas Muslim Lhaksmana Indonesia 9 111 0.6× 107 1.5× 20 0.8× 14 0.6× 7 0.4× 78 259
Henda Hajjami Ben Ghézala Tunisia 9 178 0.9× 122 1.7× 6 0.2× 11 0.5× 17 1.0× 47 305
Stephen F. Weiss United States 9 207 1.1× 67 0.9× 16 0.6× 3 0.1× 4 0.2× 21 325
Woojin Paik United States 9 126 0.7× 79 1.1× 4 0.2× 4 0.2× 8 0.5× 29 232
Alicia Ageno Spain 8 167 0.9× 102 1.4× 6 0.2× 17 0.7× 15 0.9× 24 277

Countries citing papers authored by David Perry Greene

Since Specialization
Citations

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

Fields of papers citing papers by David Perry Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Perry Greene. 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 David Perry Greene. The network helps show where David Perry Greene may publish in the future.

Co-authorship network of co-authors of David Perry Greene

This figure shows the co-authorship network connecting the top 25 collaborators of David Perry Greene. A scholar is included among the top collaborators of David Perry Greene 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 David Perry Greene. David Perry Greene is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Prietula, Michael J., S. R. Lawrence, & David Perry Greene. (2003). Task-centered research: understanding, augmenting and discovering managerial expertise. 5. 245–253.
2.
Greene, David Perry. (2000). A Design Model for Beginner-Level Computer-Mediated EFL Writing. Computer Assisted Language Learning. 13(3). 239–252. 13 indexed citations
3.
Greene, David Perry. (1998). LATCH: A Syllabus Design for EFL Instruction in CALL. Computer Assisted Language Learning. 11(4). 381–396. 10 indexed citations
4.
Greene, David Perry & Stephen F. Smith. (1994). Competition-based induction of decision models from examples. Machine Learning. 13(2-3). 229–257. 87 indexed citations
5.
Greene, David Perry & Stephen F. Smith. (1994). Using Coverage as a Model Building Constraint in Learning Classifier Systems. Evolutionary Computation. 2(1). 67–91. 21 indexed citations
6.
Greene, David Perry & Stephen F. Smith. (1993). Competition-Based Induction of Decision Models from Examples. Machine Learning. 13(2-3). 229–257. 61 indexed citations
7.
Greene, David Perry & Stephen F. Smith. (1992). COGIN: symbolic induction with genetic algorithms. National Conference on Artificial Intelligence. 111–116. 10 indexed citations
8.
Greene, David Perry. (1987). AUTOMATED KNOWLEDGE ACQUISITION: OVERCOMING THE EXPERT SYSTEM BOTTLENECK. Journal of the Association for Information Systems. 33. 11 indexed citations
9.
Greene, David Perry & Stephen F. Smith. (1987). A genetic system for learning models of consumer choice. international conference on Genetic algorithms. 217–223. 28 indexed citations
10.
Greene, David Perry & Jane L. David. (1984). A research design for generalizing from multiple case studies. Evaluation and Program Planning. 7(1). 73–85. 58 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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