D. Bálya

1.8k citations
34 papers · 1.3k · h-index 12

Impact in

Papers in

D. Bálya

32 papers receiving 1.3k citations

Peers

D. Bálya
Comparison fields: 5 of 80
  • Cellular and Molecular Neuroscience 834
  • Molecular Biology 717
  • Cognitive Neuroscience 200
  • Ophthalmology 81
  • Computer Networks and Communications 130
Replace Sheila Nirenberg with:
Sheila Nirenberg United States
Stephen J. Eglen United Kingdom
David K. Warland United States
Fidel Santamarı́a United States
Martin Greschner United States
Olivier Marre France
Sharon Crook United States
Michael A. Freed United States
Pamela Reinagel United States
Antoine Chaffiol France
D. Bálya relative to Sheila Nirenberg United States Sheila Nirenberg's profile →
Citations per field
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Sheila Nirenberg · 1×
Citations per year

Countries citing papers authored by D. Bálya

Since Specialization
Citations

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

Fields of papers citing papers by D. Bálya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. Bálya, 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 D. Bálya Line = papers co-authored together D. Bálya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010487
2 2008441
3 200966
4 200263
5 200155
6 200125
7 200416
8 200415
9 200414
10 200614
11
A CNN model framework and simulator for biological sensory systems
200111
12 200611
13 20028
14 19998
15 20077
16 20026
17 20035
18 20035
19 20035
20 20035

About D. Bálya

D. Bálya is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (18 papers), Advanced Memory and Neural Computing (17 papers), Neural dynamics and brain function (12 papers), Neural Networks and Applications (9 papers), Neuroscience and Neural Engineering (8 papers), CCD and CMOS Imaging Sensors (6 papers), Retinal Development and Disorders (6 papers) and Cellular Automata and Applications (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (834 citations), Molecular Biology (717 citations), Cognitive Neuroscience (200 citations), Ophthalmology (81 citations) and Computer Networks and Communications (130 citations). D. Bálya has collaborated with scholars based in Hungary, United States and Switzerland. Frequent co-authors include Botond Roska, Volker Busskamp, Gautam B. Awatramani, Pamela S. Lagali, Douglas S. Kim, Thomas A. Münch, Constance L. Cepko, Tim J. Viney, Jens Duebel and Tamás Roska. Their work appears in journals such as International Journal of Bifurcation and Chaos, Nature Methods, IEEE Circuits and Systems Magazine, International Journal of Circuit Theory and Applications and Nature Neuroscience.

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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