R. Martin Chavez
- Artificial Intelligence
- Computer Networks and Communications
- Statistics and Probability
- Management Science and Operations Research
- Signal Processing
- Co-authors
- Paul DagumGregory F. CooperA. Meystel
- Topics
- Bayesian Modeling and Causal Inference (4 papers)Machine Learning and Algorithms (2 papers)Machine Learning in Healthcare (2 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceComputer Methods and Programs in BiomedicineNetworks
- Partner nations
- United States
In The Last Decade
R. Martin Chavez
5 papers receiving 77 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 71
- Computer Networks and Communications 12
- Statistics and Probability 11
- Management Science and Operations Research 10
- Signal Processing 9
Countries citing papers authored by R. Martin Chavez
This map shows the geographic impact of R. Martin Chavez'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 R. Martin Chavez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Martin Chavez more than expected).
Fields of papers citing papers by R. Martin Chavez
This network shows the impact of papers produced by R. Martin Chavez. 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 R. Martin Chavez. The network helps show where R. Martin Chavez may publish in the future.
Co-authorship network of co-authors of R. Martin Chavez
This figure shows the co-authorship network connecting the top 25 collaborators of R. Martin Chavez. A scholar is included among the top collaborators of R. Martin Chavez 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 R. Martin Chavez. R. Martin Chavez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 42 | |
| 3 | 3 | |
| 4 | 35 | |
| 5 | Architectures and approximation algorithms for probabilistic expert systems | 5 |
About R. Martin Chavez
R. Martin Chavez is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Theory and Mathematics, having authored 5 papers that have together received 89 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (4 papers), Machine Learning and Algorithms (2 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Artificial Intelligence (71 citations), Statistics and Probability (11 citations) and Software (5 citations). R. Martin Chavez has collaborated with scholars based in United States. Frequent co-authors include Paul Dagum, Gregory F. Cooper and A. Meystel. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Methods and Programs in Biomedicine and Networks.
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.