Sean McGregor
Impact in
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in
-
- Explainable Artificial Intelligence (XAI) 2
- Anomaly Detection Techniques and Applications 2
-
- Plant and animal studies 3
- Animal Behavior and Reproduction 2
- Co-authors
- Rachel M. Houtman (4 shared papers)Thomas G. Dietterich (4 shared papers)Claire A. Montgomery (4 shared papers)Mark Crowley (1 shared paper)David E. Calkin (1 shared paper)Laurent Keller (4 shared papers)Thomas O. Richardson (2 shared papers)Takayoshi Okabe (1 shared paper)
- Journals
- Computer (1 paper)International Journal of Wildland Fire (1 paper)Current Biology (1 paper)AI Magazine (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Sean McGregor
13 papers receiving 232 citations
Peers
Comparison fields: 5 of 80
- Health Informatics 10
- Safety Research 45
- Global and Planetary Change 63
- Ecological Modeling 11
- Ecology, Evolution, Behavior and Systematics 42
Countries citing papers authored by Sean McGregor
This map shows the geographic impact of Sean McGregor'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 Sean McGregor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean McGregor more than expected).
Fields of papers citing papers by Sean McGregor
This network shows the impact of papers produced by Sean McGregor. 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 Sean McGregor. The network helps show where Sean McGregor may publish in the future.
Co-authors
The 25 scholars most cited alongside Sean McGregor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 77 | |
| 2 | 2013 | 65 | |
| 3 | 2019 | 30 | |
| 4 | 2021 | 24 | |
| 5 | 2021 | 18 | |
| 6 | 2015 | 8 | |
| 7 | 2023 | 7 | |
| 8 | 2018 | 6 | |
| 9 | 2016 | 6 | |
| 10 | 2018 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2015 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2023 | 0 |
About Sean McGregor
Sean McGregor is a scholar working on Artificial Intelligence, Ecology, Evolution, Behavior and Systematics, Genetics, Safety Research and Management Information Systems, having authored 17 papers that have together received 246 indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (4 papers), Plant and animal studies (3 papers), Ethics and Social Impacts of AI (3 papers), Explainable Artificial Intelligence (XAI) (2 papers), Data Visualization and Analytics (2 papers), Anomaly Detection Techniques and Applications (2 papers), Big Data and Business Intelligence (2 papers) and Animal Behavior and Reproduction (2 papers). The work is most often cited by research in Health Informatics (10 citations), Safety Research (45 citations), Global and Planetary Change (63 citations), Ecological Modeling (11 citations) and Ecology, Evolution, Behavior and Systematics (42 citations). Sean McGregor has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Rachel M. Houtman, Thomas G. Dietterich, Claire A. Montgomery, Mark Crowley, David E. Calkin, Laurent Keller, Thomas O. Richardson, Takayoshi Okabe, Akiko Koto and Minoru Moriyama. Their work appears in journals such as Computer, International Journal of Wildland Fire, Current Biology, AI Magazine and PLoS ONE.
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.