Ivan Toni

20.2k citations
200 papers · 14.6k indexed · 2 hit papers · h-index 66

Ivan Toni

196 papers receiving 14.4k citations

Hit Papers

On the relationship between the “default mode ...5632000202620082017200400600

Peers

Ivan Toni
Comparison fields: 5 of 169
  • Cognitive Neuroscience 9.8k
  • Social Psychology 3.6k
  • Neurology 1.4k
  • Neurology 2.6k
  • Experimental and Cognitive Psychology 1.8k
Replace Julien Doyon with:
Julien Doyon Canada
Thomas F. Münte Germany
K. Richard Ridderinkhof Netherlands
Rüdiger J. Seitz Germany
Barbara J. Knowlton United States
Adam R. Aron United States
Kenneth M. Heilman United States
Hans‐Jochen Heinze Germany
Fabrice Crivello France
Takashi Hanakawa Japan
Ivan Toni relative to Julien Doyon Canada Julien Doyon's profile →
Citations per field
00.5×1.5×
Julien Doyon · 1×
Citations per year

Countries citing papers authored by Ivan Toni

Since Specialization
Citations

This map shows the geographic impact of Ivan Toni'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 Ivan Toni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Toni more than expected).

Fields of papers citing papers by Ivan Toni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Toni. 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 Ivan Toni. The network helps show where Ivan Toni may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ivan Toni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ivan Toni Line = papers co-authored together Ivan Toni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20233
3 20230
4 20224
5 2021168
6 20209
7 20203
8 201957
9 20172
10 201651
11 20133
12 20138
13
The computational costs of recipient design and intention recognition in communication
20114
14 2011141
15 200892
16 2007164
17 200759
18
Brocas area and the motor system
20001
19
Erratum: Signal-, set- and movement-related activity in the human brain: An event-related fMRI study (Cerebral Cortex (January/February 1999) 9:1 (35- 49
19992
20
The time-course of activity in motor areas during motor learning
19973

About Ivan Toni

Ivan Toni is a scholar working on Cognitive Neuroscience, Social Psychology and Developmental and Educational Psychology, having authored 200 papers that have together received 14.6k indexed citations. Recurring topics across this work include Motor Control and Adaptation (61 papers), Action Observation and Synchronization (55 papers), Neural dynamics and brain function (31 papers), Neural and Behavioral Psychology Studies (29 papers), Functional Brain Connectivity Studies (26 papers), Neurological disorders and treatments (23 papers), Visual perception and processing mechanisms (19 papers) and Child and Animal Learning Development (18 papers). The work is most often cited by research in Cognitive Neuroscience (9.8k citations), Social Psychology (3.6k citations) and Neurology (1.4k citations). Ivan Toni has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Floris P. de Lange, Rick C. Helmich, Bastiaan R. Bloem, Richard E. Passingham, Karin Roelofs, Matthew F. S. Rushworth, Rogier B. Mars, Peter Hagoort, Lennart Verhagen and Oliver Josephs. Their work appears in journals such as NeuroImage, Journal of Neuroscience, Experimental Brain Research, Brain and Cerebral Cortex.

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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