Attila Nagy

1.9k citations
132 papers · 1.3k indexed · h-index 21
Topics
Neural dynamics and brain function (36 papers)semigroups and automata theory (29 papers)Advanced Algebra and Logic (25 papers)

In The Last Decade

Attila Nagy

119 papers receiving 1.2k citations

Peers

Attila Nagy
Comparison fields: 5 of 147
  • Cognitive Neuroscience 430
  • Cellular and Molecular Neuroscience 248
  • Molecular Biology 212
  • Experimental and Cognitive Psychology 179
  • Sensory Systems 165
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Weimin Zheng China
Nitin Gupta India
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Robert A. A. Campbell United States
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Kimberly L. Stark United States
Ilona Kovács Hungary
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Citations per field
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Citations per year

Countries citing papers authored by Attila Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Attila Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Attila Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Attila Nagy. A scholar is included among the top collaborators of Attila Nagy 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 Attila Nagy. Attila Nagy 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 7
2 0
3 2
4 1
5 2
6 11
7 20
8
1
9 9
10 4
11
A new method for identification of modulation in neural responses to drifting grating stimulation
1
12 19
13 40
14
Gröbner bases for permutations and oriented trees
1
15 15
16
Speed tuned cells in feline superior colliculus
2
17
Subdirectly irreducible strongly $\scr R\scr G\scr C\sb n$-commutative semigroups with a globally idempotent core
1
18 39
19
Right Group-Type Automata.
1
20
RC-commutative ...-semigroups.
4

About Attila Nagy

Attila Nagy is a scholar working on Sensory Systems, Cognitive Neuroscience and Computational Theory and Mathematics, having authored 132 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (36 papers), semigroups and automata theory (29 papers) and Advanced Algebra and Logic (25 papers). The work is most often cited by research in Sensory Systems (165 citations), Cognitive Neuroscience (430 citations) and Experimental and Cognitive Psychology (179 citations). Attila Nagy has collaborated with scholars based in Hungary, United States and Poland. Frequent co-authors include György Benedek, Gabriella Eördegh, Andrew V. Schally, Antal Berényi, Masao Norita, Baodong Sun, Kate Groot, Xiangwu Nou, G. Benedek and Dávid Papp. Their work appears in journals such as Journal of Biological Chemistry, Neuron and PLoS ONE.

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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