Charles M. Macal
- Management Science and Operations Research top 0.2%
- Artificial Intelligence top 2%
- Sociology and Political Science top 5%
- Transportation top 1%
- Economics and Econometrics top 2%
- Co-authors
- Michael NorthJonathan OzikNicholson CollierMark BragenEric TataraPam SydelkoMichael PiddPeer‐Olaf Siebers
- Topics
- Simulation Techniques and Applications (27 papers)Complex Systems and Decision Making (25 papers)Multi-Agent Systems and Negotiation (19 papers)
- Journals
- NaturePLoS ONEEnergy Policy
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Charles M. Macal
103 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Management Science and Operations Research 1.6k
- Artificial Intelligence 564
- Sociology and Political Science 510
- Transportation 494
- Economics and Econometrics 480
Countries citing papers authored by Charles M. Macal
This map shows the geographic impact of Charles M. Macal'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 Charles M. Macal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles M. Macal more than expected).
Fields of papers citing papers by Charles M. Macal
This network shows the impact of papers produced by Charles M. Macal. 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 Charles M. Macal. The network helps show where Charles M. Macal may publish in the future.
Co-authorship network of co-authors of Charles M. Macal
This figure shows the co-authorship network connecting the top 25 collaborators of Charles M. Macal. A scholar is included among the top collaborators of Charles M. Macal 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 Charles M. Macal. Charles M. Macal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | Modeling Solar PV Adoption: A Social-Behavioral Agent-Based Framework | 11 |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | 157 | |
| 13 | 27 | |
| 14 | 20 | |
| 15 | 195 | |
| 16 | 67 | |
| 17 | Adding the infrastructure class hierarchy to the EXHORT framework for object-oriented deployment simulations. | 1 |
| 18 | The transportation system capability model (TRANSCAP) : a mixed language development approach for an army deployment simulation. | 2 |
| 19 | 2 | |
| 20 | 8 |
About Charles M. Macal
Charles M. Macal is a scholar working on Management Science and Operations Research, Discrete Mathematics and Combinatorics and Management Information Systems, having authored 105 papers that have together received 5.2k indexed citations. Recurring topics across this work include Simulation Techniques and Applications (27 papers), Complex Systems and Decision Making (25 papers) and Multi-Agent Systems and Negotiation (19 papers). The work is most often cited by research in Management Science and Operations Research (1.6k citations), Transportation (494 citations) and Modeling and Simulation (259 citations). Charles M. Macal has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Michael North, Jonathan Ozik, Nicholson Collier, Michael North, Mark Bragen, Eric Tatara, Pam Sydelko, Michael Pidd, Peer‐Olaf Siebers and John C. Garnett. Their work appears in journals such as Nature, PLoS ONE and Energy Policy.
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.