Michael R. Wick
Impact in
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- Teaching and Learning Programming
- Software top 10%
- Software Testing and Debugging Techniques
Papers in
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- Teaching and Learning Programming 15
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- AI-based Problem Solving and Planning 10
- Evolutionary Algorithms and Applications 6
- Logic, programming, and type systems 4
- Co-authors
- James Robert Slagle (10 shared papers)William B. Thompson (3 shared papers)Daniel E. Stevenson (10 shared papers)L Souza (1 shared paper)Paul J. Wagner (3 shared papers)CW Song (2 shared papers)Fatih Mehmet Uckun (2 shared papers)KG Waddick (2 shared papers)
- Journals
- Blood (2 papers)AI Magazine (2 papers)Artificial Intelligence (1 paper)Journal of Clinical Investigation (1 paper)The Knowledge Engineering Review (1 paper)
- Partner nations
- United StatesPoland
In The Last Decade
Michael R. Wick
47 papers receiving 610 citations
Peers
Comparison fields: 5 of 105
- Computer Science Applications 199
- Software 60
- Artificial Intelligence 283
- Health Informatics 11
- Developmental and Educational Psychology 87
Countries citing papers authored by Michael R. Wick
This map shows the geographic impact of Michael R. Wick'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 Michael R. Wick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael R. Wick more than expected).
Fields of papers citing papers by Michael R. Wick
This network shows the impact of papers produced by Michael R. Wick. 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 Michael R. Wick. The network helps show where Michael R. Wick may publish in the future.
Co-authors
The 21 scholars most cited alongside Michael R. Wick, 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 | 1992 | 121 | |
| 2 | 1990 | 83 | |
| 3 | 1988 | 57 | |
| 4 | 1989 | 52 | |
| 5 | 2005 | 51 | |
| 6 | 1991 | 43 | |
| 7 | 2005 | 35 | |
| 8 | 2006 | 31 | |
| 9 | AGNESS: a generalized network-based expert system shell | 1986 | 18 |
| 10 | 2001 | 16 | |
| 11 | 2003 | 14 | |
| 12 | 2005 | 13 | |
| 13 | Reconstructive explanation: explanation as complex problem solving | 1989 | 13 |
| 14 | 1993 | 13 | |
| 15 | 2007 | 11 | |
| 16 | 2006 | 11 | |
| 17 | 1992 | 11 | |
| 18 | 2006 | 10 | |
| 19 | 1995 | 10 | |
| 20 | 1995 | 9 |
About Michael R. Wick
Michael R. Wick is a scholar working on Computer Science Applications, Artificial Intelligence, Software, Development and Developmental and Educational Psychology, having authored 50 papers that have together received 712 indexed citations. Recurring topics across this work include Teaching and Learning Programming (15 papers), AI-based Problem Solving and Planning (10 papers), Evolutionary Algorithms and Applications (6 papers), Educational Games and Gamification (6 papers), Software Engineering Research (6 papers), Software Engineering and Design Patterns (4 papers), Logic, programming, and type systems (4 papers) and Model-Driven Software Engineering Techniques (4 papers). The work is most often cited by research in Computer Science Applications (199 citations), Software (60 citations), Artificial Intelligence (283 citations), Health Informatics (11 citations) and Developmental and Educational Psychology (87 citations). Michael R. Wick has collaborated with scholars based in United States and Poland. Frequent co-authors include James Robert Slagle, William B. Thompson, Daniel E. Stevenson, L Souza, Paul J. Wagner, CW Song, Fatih Mehmet Uckun, KG Waddick, Andrew T. Phillips and Tiffany Barnes. Their work appears in journals such as Blood, AI Magazine, Artificial Intelligence, Journal of Clinical Investigation and The Knowledge Engineering Review.
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.