E. Lábos

509 citations
25 papers · 364 · h-index 7

Impact in

Papers in

E. Lábos

22 papers receiving 342 citations

Peers

E. Lábos
Comparison fields: 5 of 76
  • Sensory Systems 63
  • Cellular and Molecular Neuroscience 146
  • Cognitive Neuroscience 141
  • Experimental and Cognitive Psychology 62
  • Behavioral Neuroscience 9
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Countries citing papers authored by E. Lábos

Since Specialization
Citations

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

Fields of papers citing papers by E. Lábos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside E. Lábos, 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 E. Lábos Line = papers co-authored together E. Lábos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991112
2 1973107
3 199353
4 197331
5 197714
6 19667
7 19706
8 19935
9
Neural communication and control
19815
10 19644
11 19733
12
The use of CNN models in the visual parthway. Part II: The amacrine cell in the modified retina model, simple LGN effects and motion related illusions. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-9-1992.)
19922
13 20062
14
On the functional significance of axonal triads in medial cuneate nucleus.
19802
15
STUDIES OF THE DOUBLE INNERVATION IN THE REGULATION OF ADDUCTOR MUSCLE TONE IN THE CLAM ANODONTA CYGNEA L.
19632
16 20001
17 19941
18
On the role of ganglia in regulation of the activity of tonic molluscan (Anodonta cygnea L.) muscle.
19681
19
On the dynamics of triadic synaptic arrangements: computer experiments with formal neural nets of chaotic units.
19901
20
On the synchrony control of the two adductors in the fresh water mussel Anodonta cygnea L.
19681

About E. Lábos

E. Lábos is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Artificial Intelligence and Computer Networks and Communications, having authored 25 papers that have together received 364 indexed citations. Recurring topics across this work include Neural dynamics and brain function (12 papers), Neural Networks and Applications (4 papers), Neurobiology and Insect Physiology Research (4 papers), Visual perception and processing mechanisms (3 papers), Animal Nutrition and Physiology (2 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Plant and Biological Electrophysiology Studies (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Sensory Systems (63 citations), Cellular and Molecular Neuroscience (146 citations), Cognitive Neuroscience (141 citations), Experimental and Cognitive Psychology (62 citations) and Behavioral Neuroscience (9 citations). E. Lábos has collaborated with scholars based in Hungary, United States and Czechia. Frequent co-authors include E. Sylvester Vizi, Barry E. Stein, Lawrence Kruger, J. Hámori, Ákos Zarándy, P.L. Venetianer, László Orzó, Zoltán Vidnyánszky, J. Takács and T. Roska. Their work appears in journals such as Journal of Neurophysiology, Biosystems, Progress in Neurobiology, Nature and Physics Letters A.

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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