Marc C. Kennedy
- Statistics, Probability and Uncertainty top 0.05%
- Computational Theory and Mathematics top 0.2%
- Artificial Intelligence top 2%
- Management Science and Operations Research top 0.5%
- Environmental Engineering top 1%
- Co-authors
- Anthony O’HaganWilliam J. DavisJohn A. CafeoDave HigdonRobert D. RyneJames C. CavendishJames L. LarimerHoward L. Fields
- Topics
- Pesticide Residue Analysis and Safety (15 papers)Agricultural safety and regulations (11 papers)Neurobiology and Insect Physiology Research (9 papers)
- Cited by
- Statistics, Probability and UncertaintyComputational Theory and MathematicsManagement Science and Operations Research
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Marc C. Kennedy
58 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Statistics, Probability and Uncertainty 2.0k
- Computational Theory and Mathematics 1.5k
- Artificial Intelligence 774
- Management Science and Operations Research 766
- Environmental Engineering 627
Countries citing papers authored by Marc C. Kennedy
This map shows the geographic impact of Marc C. Kennedy'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 Marc C. Kennedy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc C. Kennedy more than expected).
Fields of papers citing papers by Marc C. Kennedy
This network shows the impact of papers produced by Marc C. Kennedy. 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 Marc C. Kennedy. The network helps show where Marc C. Kennedy may publish in the future.
Co-authorship network of co-authors of Marc C. Kennedy
This figure shows the co-authorship network connecting the top 25 collaborators of Marc C. Kennedy. A scholar is included among the top collaborators of Marc C. Kennedy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc C. Kennedy. Marc C. Kennedy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 27 | |
| 4 | 13 | |
| 5 | 35 | |
| 6 | 12 | |
| 7 | 52 | |
| 8 | Spray drift and bystander risk from fruit crop spraying | 19 |
| 9 | 12 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 26 | |
| 13 | 25 | |
| 14 | 9 | |
| 15 | 2 | |
| 16 | 10 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 3 | |
| 20 | 93 |
About Marc C. Kennedy
Marc C. Kennedy is a scholar working on Statistics, Probability and Uncertainty, Food Science and Health, Toxicology and Mutagenesis, having authored 59 papers that have together received 5.9k indexed citations. Recurring topics across this work include Pesticide Residue Analysis and Safety (15 papers), Agricultural safety and regulations (11 papers) and Neurobiology and Insect Physiology Research (9 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (2.0k citations), Computational Theory and Mathematics (1.5k citations) and Management Science and Operations Research (766 citations). Marc C. Kennedy has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Anthony O’Hagan, William J. Davis, John A. Cafeo, Dave Higdon, Robert D. Ryne, James C. Cavendish, James L. Larimer, Howard L. Fields, William H. Evoy and Clive Anderson. Their work appears in journals such as Science, Journal of the American Statistical Association and Journal of Neurophysiology.
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.