Pedro J. Gonçalves

11 papers receiving 287 citations

Peers

Pedro J. Gonçalves
Comparison fields: 5 of 94
  • Cognitive Neuroscience 120
  • Molecular Biology 107
  • Cellular and Molecular Neuroscience 63
  • Artificial Intelligence 44
  • Electrical and Electronic Engineering 28
Replace Giacomo Bassetto with:
Giacomo Bassetto Germany
Arno Onken United Kingdom
Chaitanya Chintaluri Poland
Kaan Öcal United Kingdom
Ulisse Ferrari France
Michael Deistler Germany
Eric Bridgeford United States
Alexander G. Dimitrov United States
Wesley T. Alford United States
Michael Vidne United States
Pedro J. Gonçalves relative to Giacomo Bassetto Germany Giacomo Bassetto's profile →
Citations per field
00.5×1.5×2.3×
Giacomo Bassetto · 1×
Citations per year

Countries citing papers authored by Pedro J. Gonçalves

Since Specialization
Citations

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

Fields of papers citing papers by Pedro J. Gonçalves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro J. Gonçalves. 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 Pedro J. Gonçalves. The network helps show where Pedro J. Gonçalves may publish in the future.

Co-authorship network of co-authors of Pedro J. Gonçalves

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro J. Gonçalves. A scholar is included among the top collaborators of Pedro J. Gonçalves 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 Pedro J. Gonçalves. Pedro J. Gonçalves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 1
6 43
7 17
8 8
9 43
10 8
11 9
12 116
13 1
14
Flexible statistical inference for mechanistic models of neural dynamics
29
15 15

About Pedro J. Gonçalves

Pedro J. Gonçalves is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 15 papers that have together received 290 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Neurobiology and Insect Physiology Research (3 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Cognitive Neuroscience (120 citations), Cellular and Molecular Neuroscience (63 citations) and Biophysics (13 citations). Pedro J. Gonçalves has collaborated with scholars based in Germany, Belgium and United Kingdom. Frequent co-authors include Jakob H. Macke, Kaan Öcal, Michael Deistler, Marcel Nonnenmacher, Giacomo Bassetto, Jan-Matthis Lueckmann, Jeroen Raes, Sara Vieira‐Silva, Gwen Falony and Chaitanya Chintaluri. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Gastroenterology.

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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2026