Pedro J. Gonçalves

852 total citations
15 papers, 290 citations indexed

About

Pedro J. Gonçalves is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Pedro J. Gonçalves has authored 15 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Pedro J. Gonçalves's work include Neural dynamics and brain function (8 papers), Neurobiology and Insect Physiology Research (3 papers) and Photoreceptor and optogenetics research (2 papers). Pedro J. Gonçalves is often cited by papers focused on Neural dynamics and brain function (8 papers), Neurobiology and Insect Physiology Research (3 papers) and Photoreceptor and optogenetics research (2 papers). Pedro J. Gonçalves collaborates with scholars based in Germany, Belgium and United Kingdom. Pedro J. Gonçalves's co-authors include Jakob H. Macke, Kaan Öcal, Giacomo Bassetto, Jan-Matthis Lueckmann, Marcel Nonnenmacher, Michael Deistler, Jeroen Raes, Gwen Falony, Sara Vieira‐Silva and Tim P. Vogels and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Gastroenterology.

In The Last Decade

Pedro J. Gonçalves

11 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pedro J. Gonçalves Germany	9	120	107	63	44	28	15	290
Ozgur E. Akman United Kingdom	16	73 0.6×	258 2.4×	49 0.8×	28 0.6×	11 0.4×	39	614
Pedro D. Maia United States	11	95 0.8×	63 0.6×	51 0.8×	19 0.4×	9 0.3×	25	302
Benjamin D. Evans United Kingdom	11	131 1.1×	82 0.8×	55 0.9×	57 1.3×	52 1.9×	25	426
Yasuomi D. Sato Japan	8	91 0.8×	132 1.2×	33 0.5×	11 0.3×	12 0.4×	24	322
Ulisse Ferrari France	13	142 1.2×	94 0.9×	110 1.7×	22 0.5×	20 0.7×	26	341
Alexander G. Dimitrov United States	11	220 1.8×	35 0.3×	98 1.6×	111 2.5×	45 1.6×	39	357
Sten Rüdiger Germany	15	101 0.8×	206 1.9×	131 2.1×	5 0.1×	18 0.6×	26	470
Fabrice Bartolomei France	9	422 3.5×	41 0.4×	116 1.8×	14 0.3×	8 0.3×	14	556
Shouli Yuan China	10	74 0.6×	71 0.7×	69 1.1×	4 0.1×	8 0.3×	23	338
Charles P. Ratliff United States	7	251 2.1×	166 1.6×	172 2.7×	18 0.4×	42 1.5×	9	370

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

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15 of 15 papers shown

Gao, Richard, et al.. (2025). Modeling conditional distributions of neural and behavioral data with masked variational autoencoders. Cell Reports. 44(3). 115338–115338.

Deistler, Michael, James F. Beck, Ziwei Huang, et al.. (2025). Jaxley: differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics. Nature Methods. 22(12). 2649–2657.

Deistler, Michael, Cornelius Schröder, Theodore Kypraios, et al.. (2025). Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes. Medical Image Analysis. 103. 103580–103580.

Zucca, Stefano, et al.. (2025). Visual loom caused by self-movement or object-movement elicits distinct responses in mouse superior colliculus. Current Biology. 35(17). 4241–4250.e4.

Bernaerts, Yves, Michael Deistler, Pedro J. Gonçalves, et al.. (2025). Combined statistical-biophysical modeling links ion channel genes to physiology of cortical neuron types. Patterns. 6(10). 101323–101323. 1 indexed citations

Caenepeel, Clara, Gwen Falony, Kathleen Machiels, et al.. (2023). Dysbiosis and Associated Stool Features Improve Prediction of Response to Biological Therapy in Inflammatory Bowel Disease. Gastroenterology. 166(3). 483–495. 43 indexed citations

Deistler, Michael, Jakob H. Macke, & Pedro J. Gonçalves. (2022). Energy-efficient network activity from disparate circuit parameters. Proceedings of the National Academy of Sciences. 119(44). e2207632119–e2207632119. 17 indexed citations

Gonçalves, Pedro J., et al.. (2022). The geometry of robustness in spiking neural networks. eLife. 11. 8 indexed citations

Lloréns‐Rico, Verónica, Sara Vieira‐Silva, Pedro J. Gonçalves, Gwen Falony, & Jeroen Raes. (2021). Benchmarking microbiome transformations favors experimental quantitative approaches to address compositionality and sampling depth biases. Nature Communications. 12(1). 3562–3562. 43 indexed citations

10.

Gonçalves, Pedro J., et al.. (2021). Integration of sleep homeostasis and navigation in Drosophila. PLoS Computational Biology. 17(7). e1009088–e1009088. 8 indexed citations

11.

Gonçalves, Pedro J., et al.. (2020). Sustained Activation of PV+ Interneurons in Core Auditory Cortex Enables Robust Divisive Gain Control for Complex and Naturalistic Stimuli. Cerebral Cortex. 31(5). 2364–2381. 9 indexed citations

12.

Gonçalves, Pedro J., Jan-Matthis Lueckmann, Michael Deistler, et al.. (2020). Training deep neural density estimators to identify mechanistic models of neural dynamics. eLife. 9. 116 indexed citations

13.

Lueckmann, Jan-Matthis, et al.. (2019). Comparing neural simulations by neural density estimation. 1 indexed citations

14.

Lueckmann, Jan-Matthis, Pedro J. Gonçalves, Giacomo Bassetto, et al.. (2017). Flexible statistical inference for mechanistic models of neural dynamics. Lirias (KU Leuven). 30. 1289–1299. 29 indexed citations

15.

Gonçalves, Pedro J., et al.. (2014). Optogenetic perturbations reveal the dynamics of an oculomotor integrator. Frontiers in Neural Circuits. 8. 10–10. 15 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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