Roger E. Cavallo
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
-
- Complex Systems and Decision Making
Papers in
-
- Statistical and Computational Modeling 2
- Bayesian Modeling and Causal Inference 1
-
- Complex Systems and Decision Making 4
- Journals
- International Journal of General Systems (5 papers)International Journal of Systems Science (2 papers)Fuzzy Sets and Systems (1 paper)International Journal of Parallel Programming (1 paper)Very Large Data Bases (1 paper)
- Partner nations
- United States
In The Last Decade
Roger E. Cavallo
13 papers receiving 283 citations
Peers
Comparison fields: 5 of 54
- Signal Processing 117
- Management Science and Operations Research 98
- Artificial Intelligence 180
- Computer Networks and Communications 121
- Statistical and Nonlinear Physics 27
Countries citing papers authored by Roger E. Cavallo
This map shows the geographic impact of Roger E. Cavallo'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 Roger E. Cavallo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roger E. Cavallo more than expected).
Fields of papers citing papers by Roger E. Cavallo
This network shows the impact of papers produced by Roger E. Cavallo. 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 Roger E. Cavallo. The network helps show where Roger E. Cavallo may publish in the future.
Co-authors
The 2 scholars most cited alongside Roger E. Cavallo, 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 | The Theory of Probabilistic Databases | 1987 | 141 |
| 2 | 1979 | 49 | |
| 3 | 1981 | 41 | |
| 4 | 1979 | 27 | |
| 5 | 1982 | 17 | |
| 6 | 1978 | 14 | |
| 7 | 1982 | 8 | |
| 8 | 1979 | 6 | |
| 9 | 1982 | 5 | |
| 10 | 1992 | 3 | |
| 11 | 1977 | 2 | |
| 12 | 1977 | 1 | |
| 13 | 1992 | 1 |
About Roger E. Cavallo
Roger E. Cavallo is a scholar working on Artificial Intelligence, Management Science and Operations Research, Sociology and Political Science, Statistical and Nonlinear Physics and Physical and Theoretical Chemistry, having authored 13 papers that have together received 315 indexed citations. Recurring topics across this work include Complex Systems and Decision Making (4 papers), Statistical and Computational Modeling (2 papers), Innovation, Sustainability, Human-Machine Systems (2 papers), History and advancements in chemistry (2 papers), Bayesian Modeling and Causal Inference (1 paper), Advanced Database Systems and Queries (1 paper), Data Visualization and Analytics (1 paper) and Statistical Mechanics and Entropy (1 paper). The work is most often cited by research in Signal Processing (117 citations), Management Science and Operations Research (98 citations), Artificial Intelligence (180 citations), Computer Networks and Communications (121 citations) and Statistical and Nonlinear Physics (27 citations). Roger E. Cavallo has collaborated with scholars based in United States. Frequent co-authors include Michael Pittarelli and George J. Klir. Their work appears in journals such as International Journal of General Systems, International Journal of Systems Science, Fuzzy Sets and Systems, International Journal of Parallel Programming and Very Large Data Bases.
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.