Francesco Donnarumma

1.8k total citations · 1 hit paper
45 papers, 1.1k citations indexed

About

Francesco Donnarumma is a scholar working on Cognitive Neuroscience, Social Psychology and Artificial Intelligence. According to data from OpenAlex, Francesco Donnarumma has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 15 papers in Social Psychology and 9 papers in Artificial Intelligence. Recurrent topics in Francesco Donnarumma's work include Action Observation and Synchronization (15 papers), EEG and Brain-Computer Interfaces (12 papers) and Neural dynamics and brain function (8 papers). Francesco Donnarumma is often cited by papers focused on Action Observation and Synchronization (15 papers), EEG and Brain-Computer Interfaces (12 papers) and Neural dynamics and brain function (8 papers). Francesco Donnarumma collaborates with scholars based in Italy, United Kingdom and United States. Francesco Donnarumma's co-authors include Giovanni Pezzulo, Roberto Prevete, Francesco Isgrò, Andrea Apicella, Haris Dindo, Domenico Maisto, Alessandro D’Ausilio, Ivana Konvalinka, Cristiano Castelfranchi and Pasquale Arpaïa and has published in prestigious journals such as PLoS ONE, Current Biology and Scientific Reports.

In The Last Decade

Francesco Donnarumma

44 papers receiving 1.1k citations

Hit Papers

A survey on modern trainable activation functions 2021 2026 2022 2024 2021 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A survey on modern trainable activation functions
    2021 322 citations Andrea Apicella, Francesco Donnarumma et al. Neural Networks profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Francesco Donnarumma Italy 17 550 381 211 145 113 45 1.1k
Jill Fain Lehman United States 17 391 0.7× 223 0.6× 467 2.2× 139 1.0× 123 1.1× 57 1.3k
Verena V. Hafner Germany 17 500 0.9× 369 1.0× 537 2.5× 196 1.4× 120 1.1× 82 1.4k
Santosh Mathan United States 17 588 1.1× 142 0.4× 189 0.9× 144 1.0× 95 0.8× 59 1.0k
Daniel A. Braun Germany 20 1.4k 2.6× 513 1.3× 203 1.0× 234 1.6× 189 1.7× 57 2.2k
Lewis L. Chuang Germany 22 651 1.2× 596 1.6× 100 0.5× 79 0.5× 241 2.1× 104 1.6k
Wolfram Erlhagen Portugal 20 1.0k 1.8× 398 1.0× 274 1.3× 174 1.2× 103 0.9× 80 1.7k
Erin Solovey United States 21 743 1.4× 345 0.9× 123 0.6× 152 1.0× 183 1.6× 63 2.0k
Tao Gao China 16 450 0.8× 353 0.9× 112 0.5× 205 1.4× 125 1.1× 81 1.0k
Frank Joublin Germany 15 191 0.3× 394 1.0× 347 1.6× 68 0.5× 67 0.6× 57 871
Diederick C. Niehorster Sweden 23 791 1.4× 254 0.7× 55 0.3× 122 0.8× 181 1.6× 99 2.1k

Countries citing papers authored by Francesco Donnarumma

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Maselli, Antonella, Francesco Donnarumma, Domenico Maisto, et al.. (2023). Modeling Motor Control in Continuous Time Active Inference: A Survey. IEEE Transactions on Cognitive and Developmental Systems. 16(2). 485–500. 6 indexed citations
3.
Arpaïa, Pasquale, et al.. (2022). Visual and Haptic Feedback in Detecting Motor Imagery within a Wearable Brain-Computer Interface. SSRN Electronic Journal. 1 indexed citations
4.
Pezzulo, Giovanni, Francesco Donnarumma, Simone Ferrari-Toniolo, Paul Cisek, & Alexandra Battaglia‐Mayer. (2021). Shared population-level dynamics in monkey premotor cortex during solo action, joint action and action observation. Progress in Neurobiology. 210. 102214–102214. 5 indexed citations
5.
Apicella, Andrea, Francesco Donnarumma, Francesco Isgrò, & Roberto Prevete. (2021). A survey on modern trainable activation functions. Neural Networks. 138. 14–32. 322 indexed citations breakdown →
6.
Duvelle, Éléonore, Roddy M. Grieves, Anyi Liu, et al.. (2021). Hippocampal place cells encode global location but not connectivity in a complex space. Current Biology. 31(6). 1221–1233.e9. 23 indexed citations
7.
Angrisani, Leopoldo, Pasquale Arpaïa, Francesco Donnarumma, et al.. (2020). Instrumentation for Motor Imagery-based Brain Computer Interfaces relying on dry electrodes: a functional analysis. 1–6. 7 indexed citations
8.
Arpaïa, Pasquale, Francesco Donnarumma, Antonio Espósito, & Marco Parvis. (2020). Channel Selection for Optimal EEG Measurement in Motor Imagery-Based Brain-Computer Interfaces. International Journal of Neural Systems. 31(3). 2150003–2150003. 21 indexed citations
9.
Maranesi, Monica, Stefania Bruni, Alessandro Livi, et al.. (2019). Differential neural dynamics underlying pragmatic and semantic affordance processing in macaque ventral premotor cortex. Scientific Reports. 9(1). 11700–11700. 6 indexed citations
10.
Gómez, Carlos M., et al.. (2019). Tracking the Time Course of Bayesian Inference With Event-Related Potentials:A Study Using the Central Cue Posner Paradigm. Frontiers in Psychology. 10. 1424–1424. 17 indexed citations
11.
Angrisani, Leopoldo, Pasquale Arpaïa, Francesco Donnarumma, et al.. (2019). Metrological performance of a single-channel Brain-Computer Interface based on Motor Imagery. 2. 1–5. 1 indexed citations
12.
Pezzulo, Giovanni, Francesco Donnarumma, Pierpaolo Iodice, Domenico Maisto, & Ivilin Peev Stoianov. (2017). Model-Based Approaches to Active Perception and Control. Entropy. 19(6). 266–266. 26 indexed citations
13.
Donnarumma, Francesco, Haris Dindo, Pierpaolo Iodice, & Giovanni Pezzulo. (2017). You cannot speak and listen at the same time: a probabilistic model of turn-taking. Biological Cybernetics. 111(2). 165–183. 10 indexed citations
14.
Donnarumma, Francesco, Haris Dindo, & Giovanni Pezzulo. (2017). Sensorimotor Coarticulation in the Execution and Recognition of Intentional Actions. Frontiers in Psychology. 8. 237–237. 10 indexed citations
15.
Pezzulo, Giovanni, Pierpaolo Iodice, Francesco Donnarumma, Haris Dindo, & Günther Knoblich. (2017). Avoiding Accidents at the Champagne Reception. Psychological Science. 28(3). 338–345. 24 indexed citations
16.
Donnarumma, Francesco, Aniello Murano, & Roberto Prevete. (2015). Dynamic network functional comparison via approximate-bisimulation. Control and Cybernetics. 44(1). 3 indexed citations
17.
Pezzulo, Giovanni, Francesco Donnarumma, Pierpaolo Iodice, Roberto Prevete, & Haris Dindo. (2015). The role of synergies within generative models of action execution and recognition: A computational perspective. Physics of Life Reviews. 12. 114–117. 4 indexed citations
18.
Pezzulo, Giovanni, Francesco Donnarumma, & Haris Dindo. (2013). Human Sensorimotor Communication: A Theory of Signaling in Online Social Interactions. PLoS ONE. 8(11). e79876–e79876. 115 indexed citations
19.
Donnarumma, Francesco, et al.. (2010). AN ACTION-TUNED NEURAL NETWORK ARCHITECTURE FOR HAND POSE ESTIMATION. 358–363. 1 indexed citations
20.
Donnarumma, Francesco, et al.. (2007). Virtuality in neural dynamical systems. 3 indexed citations

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.

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