Francesco Donnarumma
- Cognitive Neuroscience top 5%
- Social Psychology top 5%
- Artificial Intelligence top 5%
- Developmental and Educational Psychology top 10%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Giovanni PezzuloRoberto PreveteFrancesco IsgròAndrea ApicellaHaris DindoDomenico MaistoCristiano CastelfranchiAlessandro D’Ausilio
- Topics
- Action Observation and Synchronization (15 papers)EEG and Brain-Computer Interfaces (12 papers)Neural dynamics and brain function (8 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Francesco Donnarumma
44 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Cognitive Neuroscience 550
- Social Psychology 381
- Artificial Intelligence 211
- Developmental and Educational Psychology 145
- Experimental and Cognitive Psychology 113
Countries citing papers authored by Francesco Donnarumma
This map shows the geographic impact of Francesco Donnarumma'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 Francesco Donnarumma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Donnarumma more than expected).
Fields of papers citing papers by Francesco Donnarumma
This network shows the impact of papers produced by Francesco Donnarumma. 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 Francesco Donnarumma. The network helps show where Francesco Donnarumma may publish in the future.
Co-authorship network of co-authors of Francesco Donnarumma
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Donnarumma. A scholar is included among the top collaborators of Francesco Donnarumma 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 Francesco Donnarumma. Francesco Donnarumma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | A survey on modern trainable activation functionsbreakdown → | 322 |
| 6 | 23 | |
| 7 | 21 | |
| 8 | 6 | |
| 9 | 17 | |
| 10 | 94 | |
| 11 | 20 | |
| 12 | 26 | |
| 13 | 10 | |
| 14 | 10 | |
| 15 | 67 | |
| 16 | Dynamic network functional comparison via approximate-bisimulation | 3 |
| 17 | 4 | |
| 18 | 115 | |
| 19 | 1 | |
| 20 | Virtuality in neural dynamical systems | 3 |
About Francesco Donnarumma
Francesco Donnarumma is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Social Psychology, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Action Observation and Synchronization (15 papers), EEG and Brain-Computer Interfaces (12 papers) and Neural dynamics and brain function (8 papers). The work is most often cited by research in Cognitive Neuroscience (550 citations), Social Psychology (381 citations) and Developmental and Educational Psychology (145 citations). Francesco Donnarumma has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Giovanni Pezzulo, Roberto Prevete, Francesco Isgrò, Andrea Apicella, Haris Dindo, Domenico Maisto, Cristiano Castelfranchi, Alessandro D’Ausilio, Ivana Konvalinka and Pasquale Arpaïa. Their work appears in journals such as PLoS ONE, Current Biology and Scientific Reports.
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.