Scott Dick
Impact in
- Software top 2%
- Software Reliability and Analysis Research
-
- Multi-Criteria Decision Making
Papers in
-
- Fuzzy Logic and Control Systems 32
- Neural Networks and Applications 27
-
- Software Engineering Research 9
- Co-authors
- Omolbanin Yazdanbakhsh (9 shared papers)Wilsun Xu (1 shared paper)Lukasz Kurgan (5 shared papers)James Miller (8 shared papers)Li Ding (4 shared papers)Abraham Kandel (11 shared papers)Ronald R. Yager (1 shared paper)Kanaka Durga Kedarisetti (3 shared papers)
- Journals
- IEEE Transactions on Fuzzy Systems (5 papers)Information Sciences (4 papers)Fuzzy Sets and Systems (3 papers)International Journal of Intelligent Systems (2 papers)International Journal of Approximate Reasoning (2 papers)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Scott Dick
98 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 154
- Software 239
- Management Science and Operations Research 711
- Statistics and Probability 302
- Artificial Intelligence 1.1k
- Computational Theory and Mathematics 424
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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 250 | |
| 2 | 2017 | 177 | |
| 3 | 2015 | 152 | |
| 4 | 2006 | 145 | |
| 5 | 2005 | 144 | |
| 6 | 2005 | 143 | |
| 7 | 2007 | 133 | |
| 8 | 2010 | 126 | |
| 9 | 2011 | 89 | |
| 10 | 2010 | 81 | |
| 11 | 2018 | 78 | |
| 12 | 2009 | 70 | |
| 13 | 2005 | 65 | |
| 14 | 2019 | 58 | |
| 15 | 2016 | 57 | |
| 16 | 1999 | 57 | |
| 17 | 2003 | 47 | |
| 18 | 1964 | 44 | |
| 19 | 2006 | 43 | |
| 20 | 2012 | 42 |
About Scott Dick
Scott Dick is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Electrical and Electronic Engineering and Management Science and Operations Research, having authored 99 papers that have together received 3.0k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (32 papers), Neural Networks and Applications (27 papers), Software Reliability and Analysis Research (10 papers), Rough Sets and Fuzzy Logic (9 papers), Smart Grid Energy Management (9 papers), Software Engineering Research (9 papers), Privacy, Security, and Data Protection (9 papers) and Advanced Algebra and Logic (6 papers). The work is most often cited by research in Software (239 citations), Management Science and Operations Research (711 citations), Statistics and Probability (302 citations), Artificial Intelligence (1.1k citations) and Computational Theory and Mathematics (424 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, James Miller, Abraham Kandel, Ronald R. Yager, Kanaka Durga Kedarisetti 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 Intelligent Systems and International Journal of Approximate Reasoning.
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.