James Matheson
- Artificial Intelligence top 1%
- Management Science and Operations Research top 0.5%
- Global and Planetary Change top 5%
- Economics and Econometrics top 5%
- Atmospheric Science top 10%
- Co-authors
- Ronald A. HowardRobert L. WinklerAli E. AbbasDavid MathesonLee SpectorThomas HelmuthDakota NorthSamuel Holtzman
- Topics
- Bayesian Modeling and Causal Inference (7 papers)Economic and Environmental Valuation (3 papers)Decision-Making and Behavioral Economics (3 papers)
- Partner nations
- United States
In The Last Decade
James Matheson
26 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Artificial Intelligence 971
- Management Science and Operations Research 777
- Global and Planetary Change 320
- Economics and Econometrics 293
- Atmospheric Science 244
Countries citing papers authored by James Matheson
This map shows the geographic impact of James Matheson'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 James Matheson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Matheson more than expected).
Fields of papers citing papers by James Matheson
This network shows the impact of papers produced by James Matheson. 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 James Matheson. The network helps show where James Matheson may publish in the future.
Co-authorship network of co-authors of James Matheson
This figure shows the co-authorship network connecting the top 25 collaborators of James Matheson. A scholar is included among the top collaborators of James Matheson 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 James Matheson. James Matheson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 99 | |
| 2 | 18 | |
| 3 | A Narrative of the Visit to the American Churches: By the Deputation from the Congregation Union of England and Wales | 0 |
| 4 | 22 | |
| 5 | 23 | |
| 6 | 11 | |
| 7 | Influence Diagramsbreakdown → | 501 |
| 8 | 16 | |
| 9 | 35 | |
| 10 | 18 | |
| 11 | 3 | |
| 12 | The Smart Organization: Creating Value Through Strategic R&D | 83 |
| 13 | 68 | |
| 14 | 5 | |
| 15 | Readings on the Principles and Applications of Decision Analysisbreakdown → | 451 |
| 16 | 20 | |
| 17 | The Elicitation of Continuous Probability Distributions | 3 |
| 18 | 301 | |
| 19 | 89 | |
| 20 | 42 |
About James Matheson
James Matheson is a scholar working on General Decision Sciences, Management Science and Operations Research and Artificial Intelligence, having authored 28 papers that have together received 2.6k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (7 papers), Economic and Environmental Valuation (3 papers) and Decision-Making and Behavioral Economics (3 papers). The work is most often cited by research in General Decision Sciences (168 citations), Management Science and Operations Research (777 citations) and Artificial Intelligence (971 citations). James Matheson has collaborated with scholars based in United States. Frequent co-authors include Ronald A. Howard, Robert L. Winkler, Ali E. Abbas, David Matheson, Lee Spector, Thomas Helmuth, Dakota North, Samuel Holtzman, James E. Smith and David Havas. Their work appears in journals such as Science, Management Science and Operations Research.
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.