Alexei A. Koulakov

3.5k citations
34 papers · 1.9k indexed · h-index 18
Topics
Neural dynamics and brain function (13 papers)Neurobiology and Insect Physiology Research (11 papers)Olfactory and Sensory Function Studies (10 papers)

In The Last Decade

Alexei A. Koulakov

33 papers receiving 1.9k citations

Peers

Alexei A. Koulakov
Comparison fields: 5 of 114
  • Cellular and Molecular Neuroscience 1.1k
  • Cognitive Neuroscience 979
  • Sensory Systems 699
  • Biomedical Engineering 330
  • Molecular Biology 217
Replace Shawn R. Olsen with:
Shawn R. Olsen United States
Dmitry Rinberg United States
Giuliano Iurilli Italy
Daniel H. O’Connor United States
Mark Stopfer United States
Paul B. Manis United States
Andreas T. Schaefer United Kingdom
Audie G. Leventhal United States
George A. Spirou United States
Ofer Mazor United States
Alexei A. Koulakov relative to Shawn R. Olsen United States Shawn R. Olsen's profile →
Citations per field
00.5×4.7×
Shawn R. Olsen · 1×
Citations per year

Countries citing papers authored by Alexei A. Koulakov

Since Specialization
Citations

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

Fields of papers citing papers by Alexei A. Koulakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexei A. Koulakov. 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 Alexei A. Koulakov. The network helps show where Alexei A. Koulakov may publish in the future.

Co-authorship network of co-authors of Alexei A. Koulakov

This figure shows the co-authorship network connecting the top 25 collaborators of Alexei A. Koulakov. A scholar is included among the top collaborators of Alexei A. Koulakov 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 Alexei A. Koulakov. Alexei A. Koulakov 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 6
2 49
3
Neural Networks With Motivation
7
4
R-learning in actor-critic model offers a biologically relevant mechanism for sequential decision-making
4
5 23
6 5
7 4
8 101
9 10
10 137
11 12
12 44
13 70
14 62
15 206
16 34
17 9
18 34
19 216
20 120

About Alexei A. Koulakov

Alexei A. Koulakov is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (13 papers), Neurobiology and Insect Physiology Research (11 papers) and Olfactory and Sensory Function Studies (10 papers). The work is most often cited by research in Sensory Systems (699 citations), Cellular and Molecular Neuroscience (1.1k citations) and Cognitive Neuroscience (979 citations). Alexei A. Koulakov has collaborated with scholars based in United States, Russia and Denmark. Frequent co-authors include Dmitry Rinberg, Dmitri B. Chklovskii, Alan Gelperin, Ádám Kepecs, Matthew C. Smear, Roman Shusterman, Sridhar Raghavachari, John Lisman, Anthony M. Zador and Zachary F. Mainen. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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