G. Barna

706 total citations
13 papers, 509 citations indexed

About

G. Barna is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, G. Barna has authored 13 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistical and Nonlinear Physics, 4 papers in Cognitive Neuroscience and 4 papers in Artificial Intelligence. Recurrent topics in G. Barna's work include Neural dynamics and brain function (4 papers), Neural Networks and Applications (4 papers) and Olfactory and Sensory Function Studies (3 papers). G. Barna is often cited by papers focused on Neural dynamics and brain function (4 papers), Neural Networks and Applications (4 papers) and Olfactory and Sensory Function Studies (3 papers). G. Barna collaborates with scholars based in Hungary, Japan and Germany. G. Barna's co-authors include Ron Chrisley, Teuvo Kohonen, P. Érdi, Ichiro Tsuda, Kimmo Kaski, Ildikó Aradi, Trienko Grobler, Péter Adorján, Péter Érdi and Klaus Obermayer and has published in prestigious journals such as Physics Letters A, Neurocomputing and Neural Networks.

In The Last Decade

G. Barna

12 papers receiving 445 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
G. Barna Hungary	8	275	116	97	87	76	13	509
Françoise Fogelman Soulié France	11	292 1.1×	283 2.4×	84 0.9×	102 1.2×	45 0.6×	22	663
H.-U. Bauer Germany	13	397 1.4×	188 1.6×	222 2.3×	94 1.1×	55 0.7×	25	715
István Dénes Germany	6	148 0.5×	99 0.9×	36 0.4×	57 0.7×	63 0.8×	12	454
Warren Koontz United States	8	294 1.1×	261 2.3×	52 0.5×	117 1.3×	25 0.3×	18	735
Stergios Papadimitriou Greece	13	138 0.5×	88 0.8×	54 0.6×	49 0.6×	48 0.6×	52	426
Lipo Wang Singapore	12	268 1.0×	117 1.0×	32 0.3×	42 0.5×	23 0.3×	14	499
S. Amari Japan	14	237 0.9×	95 0.8×	141 1.5×	367 4.2×	55 0.7×	28	719
Yasuo Matsuyama Japan	10	207 0.8×	202 1.7×	51 0.5×	277 3.2×	40 0.5×	62	592
Arif Gülten Türkiye	12	207 0.8×	195 1.7×	38 0.4×	53 0.6×	109 1.4×	36	606
R. Moddemeijer Netherlands	4	87 0.3×	67 0.6×	74 0.8×	110 1.3×	28 0.4×	6	362

Countries citing papers authored by G. Barna

Since Specialization

Citations

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

Fields of papers citing papers by G. Barna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Barna

This figure shows the co-authorship network connecting the top 25 collaborators of G. Barna. A scholar is included among the top collaborators of G. Barna 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 G. Barna. G. Barna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Érdi, P. & G. Barna. (2002). Neurodynamic approach to odor processing. ii. 653–656. 2 indexed citations

2.

Adorján, Péter, G. Barna, Péter Érdi, & Klaus Obermayer. (1999). A statistical neural field approach to orientation selectivity. Neurocomputing. 26-27. 313–318. 5 indexed citations

3.

Barna, G., et al.. (1998). Statistical model of the hippocampal CA3 region. Biological Cybernetics. 79(4). 301–308. 15 indexed citations

4.

Barna, G., et al.. (1998). Statistical model of the hippocampal CA3 region. Biological Cybernetics. 79(4). 309–321. 19 indexed citations

5.

Adorján, Péter, G. Barna, P. Érdi, et al.. (1996). Multicompartmental modeling of hippocampal pyramidal cells and interneurons with the GENESIS software tool.. PubMed. 4(3). 247–9.

6.

Aradi, Ildikó, G. Barna, P. Érdi, & Trienko Grobler. (1995). Chaos and learning in the olfactory bulb. International Journal of Intelligent Systems. 10(1). 89–117. 41 indexed citations

7.

Barna, G.. (1995). Lyapunov exponents from time series: Variations for an algorithm. International Journal of Intelligent Systems. 10(1). 25–39. 1 indexed citations

8.

Érdi, P., et al.. (1993). Dynamics of the olfactory bulb: bifurcations, learning, and memory. Biological Cybernetics. 69(1). 57–66. 30 indexed citations

9.

Barna, G. & Ichiro Tsuda. (1993). A new method for computing Lyapunov exponents. Physics Letters A. 175(6). 421–427. 45 indexed citations

10.

Barna, G. & Kimmo Kaski. (1990). Stochastic vs. Deterministic Neural Networks for Pattern Recognition. Physica Scripta. T33. 110–115. 7 indexed citations

11.

Barna, G. & Kimmo Kaski. (1989). Variations on the Boltzmann machine. Journal of Physics A Mathematical and General. 22(23). 5143–5151. 7 indexed citations

12.

Barna, G., Ron Chrisley, & Teuvo Kohonen. (1988). Statistical pattern recognition with neural networks. Neural Networks. 1. 7–7. 27 indexed citations

13.

Kohonen, Teuvo, G. Barna, & Ron Chrisley. (1988). Statistical pattern recognition with neural networks: benchmarking studies.. 61–68. 310 indexed citations

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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