Paul Rodriguez

1.6k citations
33 papers · 1.2k indexed · h-index 17
Topics
Memory and Neural Mechanisms (9 papers)Neural dynamics and brain function (8 papers)Neural Networks and Applications (5 papers)

In The Last Decade

Paul Rodriguez

33 papers receiving 1.1k citations

Peers

Paul Rodriguez
Comparison fields: 5 of 136
  • Cognitive Neuroscience 549
  • Cellular and Molecular Neuroscience 277
  • Artificial Intelligence 183
  • Molecular Biology 144
  • Neurology 111
Replace Antônio C. Roque with:
Antônio C. Roque Brazil
Jin‐Hun Sohn South Korea
Kyle Q. Lepage United States
Nichols Thomas United Kingdom
Randall Frank United States
Michael Waskom United States
Justin Chumbley Switzerland
Valentina Petre Canada
Jonas Richiardi Switzerland
David B. Keator United States
Paul Rodriguez relative to Antônio C. Roque Brazil Antônio C. Roque's profile →
Citations per field
00.5×1.5×2.3×
Antônio C. Roque · 1×
Citations per year

Countries citing papers authored by Paul Rodriguez

Since Specialization
Citations

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

Fields of papers citing papers by Paul Rodriguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Rodriguez

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Rodriguez. A scholar is included among the top collaborators of Paul Rodriguez 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 Paul Rodriguez. Paul Rodriguez 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
#WorkIndexed citations
1 2
2 1
3 2
4 33
5 3
6 18
7 61
8 26
9 13
10 36
11 1
12 175
13 39
14 18
15 107
16 115
17 5
18 46
19 50
20
Recurrent Neural Networks Can Learn to Implement Symbol-Sensitive Counting
18

About Paul Rodriguez

Paul Rodriguez is a scholar working on Cognitive Neuroscience, Architecture and General Social Sciences, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (9 papers), Neural dynamics and brain function (8 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Cognitive Neuroscience (549 citations), Cellular and Molecular Neuroscience (277 citations) and Neurology (111 citations). Paul Rodriguez has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Russell A. Poldrack, Janet Wiles, Jeffrey L. Elman, William B. Levy, Adam R. Aron, Vincent Procaccio, J. A. Kleim, Steven C. Cramer, Sara L. Simon and Jiansong Xu. Their work appears in journals such as NeuroImage, Biological Psychiatry 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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