Antônio C. Roque

2.7k citations
116 papers · 1.4k indexed · h-index 19

Impact in

Papers in

Antônio C. Roque

109 papers receiving 1.4k citations

Peers

Antônio C. Roque
Comparison fields: 5 of 132
  • Cognitive Neuroscience 493
  • Cellular and Molecular Neuroscience 385
  • Physiology 91
  • Statistical and Nonlinear Physics 192
  • Endocrine and Autonomic Systems 106
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Citations per year

Countries citing papers authored by Antônio C. Roque

Since Specialization
Citations

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

Fields of papers citing papers by Antônio C. Roque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antônio C. Roque. 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 Antônio C. Roque. The network helps show where Antônio C. Roque may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Antônio C. Roque, 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 Antônio C. Roque Line = papers co-authored together Antônio C. Roque links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 202150
4
Developing a Corpus of Indirect Speech Act Schemas
20202
5 201815
6 201715
7 201712
8 201424
9 201317
10
Towards a computational approach to literary text analysis
20125
11 201213
12
Dialogues in Context: An Objective User-Oriented Evaluation Approach for Virtual Human Dialogue.
20104
13
Improving a virtual human using a model of degrees of grounding
200915
14 2008287
15 20073
16
Using the lag of autocorrelation function in order to identify the anaerobic threshold during dynamic physical exercise
20060
17 20048
18 200311
19 200255
20 200216

About Antônio C. Roque

Antônio C. Roque is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Sensory Systems, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 116 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (49 papers), Neuroscience and Neuropharmacology Research (24 papers), Neuroscience and Neural Engineering (16 papers), Speech and dialogue systems (14 papers), Natural Language Processing Techniques (14 papers), Advanced Memory and Neural Computing (11 papers), stochastic dynamics and bifurcation (11 papers) and Memory and Neural Mechanisms (11 papers). The work is most often cited by research in Cognitive Neuroscience (493 citations), Cellular and Molecular Neuroscience (385 citations), Physiology (91 citations), Statistical and Nonlinear Physics (192 citations) and Endocrine and Autonomic Systems (106 citations). Antônio C. Roque has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include Osame Kinouchi, Silviu Locovei, Eliana Scemes, David C. Spray, Gerhard Dahl, Rosario Iglesias, David Traum, Rodrigo F. Oliveira, Sílvio Morato and Julián Tejada. Their work appears in journals such as Neurocomputing, BMC Neuroscience, Scientific Reports, PLoS ONE and Frontiers in Neurology.

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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