Massimo Riani
Impact in
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- stochastic dynamics and bifurcation
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
Papers in
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- Neural dynamics and brain function 10
- Visual perception and processing mechanisms 6
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- stochastic dynamics and bifurcation 7
- Co-authors
- Enrico Simonotto (6 shared papers)J. Twitty (2 shared papers)Frank Moss (2 shared papers)Charles Seife (1 shared paper)Mark Roberts (1 shared paper)Michele Piana (2 shared papers)A. Borsellino (4 shared papers)Francesco Masulli (5 shared papers)
- Journals
- Perception (2 papers)Sensors and Actuators B Chemical (2 papers)Physical Review Letters (2 papers)Scientific Reports (1 paper)Clinical Neurophysiology (1 paper)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Massimo Riani
18 papers receiving 747 citations
Peers
Comparison fields: 5 of 77
- Statistical and Nonlinear Physics 467
- Cognitive Neuroscience 494
- Computer Networks and Communications 158
- Acoustics and Ultrasonics 6
- Global and Planetary Change 125
Countries citing papers authored by Massimo Riani
This map shows the geographic impact of Massimo Riani'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 Massimo Riani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Riani more than expected).
Fields of papers citing papers by Massimo Riani
This network shows the impact of papers produced by Massimo Riani. 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 Massimo Riani. The network helps show where Massimo Riani may publish in the future.
Co-authors
The 25 scholars most cited alongside Massimo Riani, 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 | 1997 | 365 | |
| 2 | 1994 | 102 | |
| 3 | 1977 | 51 | |
| 4 | 2000 | 48 | |
| 5 | 1982 | 41 | |
| 6 | 2000 | 34 | |
| 7 | 2017 | 34 | |
| 8 | 1999 | 33 | |
| 9 | 2000 | 22 | |
| 10 | 2006 | 13 | |
| 11 | 1986 | 10 | |
| 12 | 1995 | 9 | |
| 13 | 1984 | 7 | |
| 14 | 1989 | 5 | |
| 15 | 1992 | 4 | |
| 16 | 1991 | 3 | |
| 17 | Perception of reversible figures in three- and two dimensional subjective space. | 1978 | 2 |
| 18 | 1984 | 2 |
About Massimo Riani
Massimo Riani is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Computer Networks and Communications, Artificial Intelligence and Global and Planetary Change, having authored 18 papers that have together received 785 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), stochastic dynamics and bifurcation (7 papers), Visual perception and processing mechanisms (6 papers), Ecosystem dynamics and resilience (3 papers), Neural Networks and Applications (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Advanced Chemical Sensor Technologies (2 papers) and Gas Sensing Nanomaterials and Sensors (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (467 citations), Cognitive Neuroscience (494 citations), Computer Networks and Communications (158 citations), Acoustics and Ultrasonics (6 citations) and Global and Planetary Change (125 citations). Massimo Riani has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Enrico Simonotto, J. Twitty, Frank Moss, Charles Seife, Mark Roberts, Michele Piana, A. Borsellino, Francesco Masulli, Marco Aiello and Walter G. Sannita. Their work appears in journals such as Perception, Sensors and Actuators B Chemical, Physical Review Letters, Scientific Reports and Clinical Neurophysiology.
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.