Bruno Forte
Impact in
- Mathematical Physics top 10%
- Mathematical Dynamics and Fractals
-
- Statistical Mechanics and Entropy
- Advanced Thermodynamics and Statistical Mechanics
- Chaos control and synchronization
Papers in
-
- Statistical Mechanics and Entropy 9
- Advanced Thermodynamics and Statistical Mechanics 5
- Quantum chaos and dynamical systems 2
-
- Mathematical Dynamics and Fractals 7
- Co-authors
- Edward R. Vrscay (7 shared papers)C. T. Ng (4 shared papers)J. Aczél (3 shared papers)Carlos Cabrelli (1 shared paper)Ursula Molter (1 shared paper)Franklin Mendivil (2 shared papers)Pasquale De Toro (2 shared papers)C.T. Ng (1 shared paper)
- Journals
- Annali di Matematica Pura ed Applicata (1923 -) (4 papers)Aequationes Mathematicae (4 papers)Advances in Applied Probability (4 papers)Fractals (3 papers)CALCOLO (2 papers)
- Partner nations
- CanadaItalyUnited States
In The Last Decade
Bruno Forte
28 papers receiving 289 citations
Peers
Comparison fields: 5 of 76
- Mathematical Physics 106
- Statistical and Nonlinear Physics 131
- Statistics and Probability 66
- Computational Theory and Mathematics 52
- Management Science and Operations Research 37
Countries citing papers authored by Bruno Forte
This map shows the geographic impact of Bruno Forte'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 Bruno Forte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Forte more than expected).
Fields of papers citing papers by Bruno Forte
This network shows the impact of papers produced by Bruno Forte. 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 Bruno Forte. The network helps show where Bruno Forte may publish in the future.
Co-authors
The 16 scholars most cited alongside Bruno Forte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1974 | 72 | |
| 2 | 1992 | 51 | |
| 3 | 1994 | 23 | |
| 4 | 1995 | 21 | |
| 5 | 1969 | 21 | |
| 6 | 1994 | 17 | |
| 7 | 1998 | 13 | |
| 8 | 1994 | 11 | |
| 9 | 1975 | 11 | |
| 10 | 1988 | 11 | |
| 11 | 1984 | 9 | |
| 12 | 2019 | 8 | |
| 13 | 1998 | 7 | |
| 14 | 1995 | 7 | |
| 15 | 1975 | 6 | |
| 16 | 1995 | 5 | |
| 17 | 1974 | 5 | |
| 18 | 1974 | 5 | |
| 19 | 1974 | 4 | |
| 20 | 1968 | 3 |
About Bruno Forte
Bruno Forte is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics, Control and Systems Engineering, Artificial Intelligence and Sociology and Political Science, having authored 42 papers that have together received 331 indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (9 papers), Mathematical Dynamics and Fractals (7 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers), Advanced Control Systems Optimization (3 papers), Mathematical Biology Tumor Growth (3 papers), Religious and Theological Studies (3 papers), Neural Networks and Applications (3 papers) and Quantum chaos and dynamical systems (2 papers). The work is most often cited by research in Mathematical Physics (106 citations), Statistical and Nonlinear Physics (131 citations), Statistics and Probability (66 citations), Computational Theory and Mathematics (52 citations) and Management Science and Operations Research (37 citations). Bruno Forte has collaborated with scholars based in Canada, Italy and United States. Frequent co-authors include Edward R. Vrscay, C. T. Ng, J. Aczél, Carlos Cabrelli, Ursula Molter, Franklin Mendivil, Pasquale De Toro, C.T. Ng, Maria Cerreta and Carlo Bertoluzza. Their work appears in journals such as Annali di Matematica Pura ed Applicata (1923 -), Aequationes Mathematicae, Advances in Applied Probability, Fractals and CALCOLO.
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.