Viktor Varga

2.7k citations
34 papers · 1.9k indexed · h-index 19

Viktor Varga

33 papers receiving 1.8k citations

Peers

Viktor Varga
Comparison fields: 5 of 88
  • Cellular and Molecular Neuroscience 1.4k
  • Cognitive Neuroscience 1.2k
  • Behavioral Neuroscience 117
  • Biological Psychiatry 46
  • Endocrine and Autonomic Systems 113
Replace Andrew J. D. Nelson with:
Andrew J. D. Nelson United Kingdom
Frédéric Manseau Canada
Brigitte Cosquer France
Meaghan C. Creed United States
Pablo Fuentealba Chile
Carlos A. Paladini United States
Gábor Nyíri Hungary
Sébastien Parnaudeau France
Ferenc Mátyás Hungary
David M. Devilbiss United States
Viktor Varga relative to Andrew J. D. Nelson United Kingdom Andrew J. D. Nelson's profile →
Citations per field
00.5×1.7×
Andrew J. D. Nelson · 1×
Citations per year

Countries citing papers authored by Viktor Varga

Since Specialization
Citations

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

Fields of papers citing papers by Viktor Varga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Viktor Varga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Viktor Varga Line = papers co-authored together Viktor Varga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 202315
3 20222
4 202213
5 20213
6 202166
7 20212
8 201966
9 201955
10 201835
11
A Hungarian Sentiment Corpus Manually Annotated at Aspect Level
20165
12
Szeged Corpus 2.5: Morphological Modifications in a Manually POS-tagged Hungarian Corpus
20142
13 201129
14 2009207
15 2008100
16 200753
17 200519
18 2004155
19 2003112
20 199820

About Viktor Varga

Viktor Varga is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, General Dentistry, Developmental Neuroscience and Endocrine and Autonomic Systems, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (22 papers), Memory and Neural Mechanisms (17 papers), Neural dynamics and brain function (13 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Photoreceptor and optogenetics research (3 papers), Topic Modeling (3 papers), Receptor Mechanisms and Signaling (3 papers) and Sleep and Wakefulness Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Cognitive Neuroscience (1.2k citations), Behavioral Neuroscience (117 citations), Biological Psychiatry (46 citations) and Endocrine and Autonomic Systems (113 citations). Viktor Varga has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Tamás F. Freund, Zsolt Borhegyi, Bernát Kocsis, Balázs Hangya, Nóra Szilágyi, Trevor Sharp, György Buzsáki, Attila Sı́k, Péter Barthó and Andor Domonkos. Their work appears in journals such as Journal of Neuroscience, Neuroscience, Science, 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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