Scott Dick
Impact in
- Software top 2%
- Software Reliability and Analysis Research
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- Multi-Criteria Decision Making
Papers in ⓘ
- Software 10
- Software Reliability and Analysis Research 10
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- Fuzzy Logic and Control Systems 29
- Neural Networks and Applications 24
- Co-authors
- Omolbanin Yazdanbakhsh (8 shared papers)Wilsun Xu (1 shared paper)Lukasz Kurgan (5 shared papers)James Miller (8 shared papers)Li Ding (4 shared papers)Kanaka Durga Kedarisetti (3 shared papers)James Miller (7 shared papers)Ronald R. Yager (1 shared paper)
- Journals
- IEEE Transactions on Fuzzy Systems (5 papers)Information Sciences (4 papers)Fuzzy Sets and Systems (3 papers)International Journal of Approximate Reasoning (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Scott Dick
92 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 150
- Software 203
- Management Science and Operations Research 662
- Statistics and Probability 275
- Artificial Intelligence 923
- Computational Theory and Mathematics 363
Countries citing papers authored by Scott Dick
This map shows the geographic impact of Scott Dick'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 Scott Dick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Dick more than expected).
Fields of papers citing papers by Scott Dick
This network shows the impact of papers produced by Scott Dick. 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 Scott Dick. The network helps show where Scott Dick may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Dick, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 238 | |
| 2 | 2017 | 168 | |
| 3 | 2006 | 143 | |
| 4 | 2015 | 142 | |
| 5 | 2005 | 136 | |
| 6 | 2007 | 124 | |
| 7 | 2005 | 122 | |
| 8 | 2010 | 117 | |
| 9 | 2011 | 84 | |
| 10 | 2018 | 76 | |
| 11 | 2010 | 70 | |
| 12 | 2009 | 67 | |
| 13 | 2005 | 60 | |
| 14 | 2019 | 58 | |
| 15 | 2016 | 54 | |
| 16 | 1999 | 52 | |
| 17 | 1964 | 41 | |
| 18 | 2012 | 39 | |
| 19 | 2006 | 38 | |
| 20 | 2003 | 36 |
About Scott Dick
Scott Dick is a scholar working on Software, Artificial Intelligence, Information Systems, Statistics and Probability and Management Science and Operations Research, having authored 93 papers that have together received 2.7k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (29 papers), Neural Networks and Applications (24 papers), Software Reliability and Analysis Research (10 papers), Software Engineering Research (9 papers), Smart Grid Energy Management (9 papers), Privacy, Security, and Data Protection (8 papers), Rough Sets and Fuzzy Logic (7 papers) and Advanced Algebra and Logic (6 papers). The work is most often cited by research in Software (203 citations), Management Science and Operations Research (662 citations), Statistics and Probability (275 citations), Artificial Intelligence (923 citations) and Computational Theory and Mathematics (363 citations). Scott Dick has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Omolbanin Yazdanbakhsh, Wilsun Xu, Lukasz Kurgan, James Miller, Li Ding, Kanaka Durga Kedarisetti, James Miller, Ronald R. Yager, Abraham Kandel and Warren W. Wakarchuk. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, Information Sciences, Fuzzy Sets and Systems, International Journal of Approximate Reasoning and Journal of Biological Chemistry.
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.