Michael Pittarelli
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
-
- Advanced Database Systems and Queries
Papers in
-
- Bayesian Modeling and Causal Inference 7
- AI-based Problem Solving and Planning 2
- Fuzzy Logic and Control Systems 1
-
- Advanced Database Systems and Queries 5
- Co-authors
- Roger E. Cavallo (1 shared paper)Henry E. Kyburg (1 shared paper)Masahiko Higashi (1 shared paper)George J. Klir (2 shared papers)Klaus Kornwachs (1 shared paper)
- Journals
- International Journal of General Systems (3 papers)Kybernetika (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Fuzzy Sets and Systems (1 paper)International Journal of Intelligent Systems (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Michael Pittarelli
13 papers receiving 225 citations
Peers
Comparison fields: 5 of 37
- Signal Processing 147
- Computer Networks and Communications 137
- General Decision Sciences 10
- Artificial Intelligence 173
- Management Science and Operations Research 50
Countries citing papers authored by Michael Pittarelli
This map shows the geographic impact of Michael Pittarelli'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 Michael Pittarelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Pittarelli more than expected).
Fields of papers citing papers by Michael Pittarelli
This network shows the impact of papers produced by Michael Pittarelli. 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 Michael Pittarelli. The network helps show where Michael Pittarelli may publish in the future.
Co-authors
The 5 scholars most cited alongside Michael Pittarelli, 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 | 1996 | 43 | |
| 3 | 1994 | 25 | |
| 4 | 1995 | 12 | |
| 5 | 1984 | 8 | |
| 6 | 1990 | 8 | |
| 7 | 1989 | 4 | |
| 8 | 1990 | 2 | |
| 9 | Identification of discrete probability distributions from partial information | 1988 | 2 |
| 10 | 1991 | 2 | |
| 11 | Probabilistic databases and decision problems: results and a conjecture | 1993 | 1 |
| 12 | 1990 | 1 | |
| 13 | 1990 | 1 | |
| 14 | 1988 | 0 | |
| 15 | 1995 | 0 |
About Michael Pittarelli
Michael Pittarelli is a scholar working on Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, Signal Processing and Computational Theory and Mathematics, having authored 15 papers that have together received 250 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (7 papers), Advanced Database Systems and Queries (5 papers), Fault Detection and Control Systems (4 papers), Rough Sets and Fuzzy Logic (3 papers), Data Management and Algorithms (3 papers), AI-based Problem Solving and Planning (2 papers), Multi-Criteria Decision Making (2 papers) and Fuzzy Logic and Control Systems (1 paper). The work is most often cited by research in Signal Processing (147 citations), Computer Networks and Communications (137 citations), General Decision Sciences (10 citations), Artificial Intelligence (173 citations) and Management Science and Operations Research (50 citations). Michael Pittarelli has collaborated with scholars based in United States and Germany. Frequent co-authors include Roger E. Cavallo, Henry E. Kyburg, Masahiko Higashi, George J. Klir and Klaus Kornwachs. Their work appears in journals such as International Journal of General Systems, Kybernetika, IEEE Transactions on Knowledge and Data Engineering, Fuzzy Sets and Systems and International Journal of Intelligent Systems.
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.