Karl Gregory
Impact in
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- Technology Adoption and User Behaviour
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
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- Statistical Methods and Inference 4
- Statistical Methods and Bayesian Inference 3
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- Gene expression and cancer classification 2
- Genomics and Chromatin Dynamics 2
- Co-authors
- Jim Hamill (1 shared paper)Soumendra N. Lahiri (4 shared papers)Veerabhadran Baladandayuthapani (3 shared papers)Raymond J. Carroll (1 shared paper)Daniel J. Nordman (2 shared papers)Ehsan Mohammadi (1 shared paper)Mike Thelwall (1 shared paper)Debraj Das (1 shared paper)
- Journals
- The Annals of Statistics (2 papers)Information Processing & Management (1 paper)Biometrics (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)Journal of Marketing Management (1 paper)
- Partner nations
- United StatesUnited KingdomIran
In The Last Decade
Karl Gregory
10 papers receiving 310 citations
Peers
Comparison fields: 5 of 75
- Information Systems and Management 66
- Statistics and Probability 73
- Strategy and Management 118
- Marketing 45
- Management of Technology and Innovation 27
Countries citing papers authored by Karl Gregory
This map shows the geographic impact of Karl Gregory'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 Karl Gregory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Gregory more than expected).
Fields of papers citing papers by Karl Gregory
This network shows the impact of papers produced by Karl Gregory. 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 Karl Gregory. The network helps show where Karl Gregory may publish in the future.
Co-authors
The 17 scholars most cited alongside Karl Gregory, 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 | 1997 | 206 | |
| 2 | 2014 | 60 | |
| 3 | 2020 | 21 | |
| 4 | 2018 | 17 | |
| 5 | 2019 | 12 | |
| 6 | 2018 | 6 | |
| 7 | 2014 | 6 | |
| 8 | 2015 | 4 | |
| 9 | 2012 | 4 | |
| 10 | DISFLUENT SPEECH AND THE VISUAL WORLD: AN APPLICATION OF THE VISUAL WORLD PARADIGM TO THE STUDY OF SPOKEN LANGUAGE COMPREHENSION By | 2004 | 2 |
About Karl Gregory
Karl Gregory is a scholar working on Statistics and Probability, Molecular Biology, Artificial Intelligence, Genetics and Infectious Diseases, having authored 10 papers that have together received 338 indexed citations. Recurring topics across this work include Statistical Methods and Inference (4 papers), Statistical Methods and Bayesian Inference (3 papers), Gene expression and cancer classification (2 papers), Genomics and Chromatin Dynamics (2 papers), Bayesian Methods and Mixture Models (2 papers), Hermeneutics and Narrative Identity (1 paper), International Business and FDI (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Information Systems and Management (66 citations), Statistics and Probability (73 citations), Strategy and Management (118 citations), Marketing (45 citations) and Management of Technology and Innovation (27 citations). Karl Gregory has collaborated with scholars based in United States, United Kingdom and Iran. Frequent co-authors include Jim Hamill, Soumendra N. Lahiri, Veerabhadran Baladandayuthapani, Raymond J. Carroll, Daniel J. Nordman, Ehsan Mohammadi, Mike Thelwall, Debraj Das, Amin A. Momin and Christopher S. McMahan. Their work appears in journals such as The Annals of Statistics, Information Processing & Management, Biometrics, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Journal of Marketing Management.
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.