Zdeněk Biolek

2.6k citations
68 papers · 2.0k indexed · 1 hit paper · h-index 17
Topics
Advanced Memory and Neural Computing (55 papers)Neuroscience and Neural Engineering (31 papers)Neural dynamics and brain function (25 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessSensors
Partner nations
CzechiaGermanyIsrael

In The Last Decade

Zdeněk Biolek

62 papers receiving 1.9k citations

Hit Papers

SPICE Model of Memristor with Nonlinear Dopant Drift20092026201420202009250500750

Peers

Zdeněk Biolek
Comparison fields: 5 of 44
  • Electrical and Electronic Engineering 1.9k
  • Cellular and Molecular Neuroscience 1.1k
  • Cognitive Neuroscience 562
  • Statistical and Nonlinear Physics 319
  • Artificial Intelligence 224
Replace Maheshwar Pd. Sah with:
Maheshwar Pd. Sah South Korea
Viera Biolková Czechia
Alon Ascoli Germany
Fernando Corinto Italy
Fırat Kaçar Türkiye
Mohammed A. Zidan Saudi Arabia
Zdeněk Kolka Czechia
Sung-Mo Kang United States
Farshad Merrikh‐Bayat Iran
Alexander Serb United Kingdom
Zdeněk Biolek relative to Maheshwar Pd. Sah South Korea Maheshwar Pd. Sah's profile →
Citations per field
00.5×1.5×
Maheshwar Pd. Sah · 1×
Citations per year

Countries citing papers authored by Zdeněk Biolek

Since Specialization
Citations

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

Fields of papers citing papers by Zdeněk Biolek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zdeněk Biolek

This figure shows the co-authorship network connecting the top 25 collaborators of Zdeněk Biolek. A scholar is included among the top collaborators of Zdeněk Biolek 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 Zdeněk Biolek. Zdeněk Biolek 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 2
2 2
3 1
4 1
5 2
6 6
7 1
8 6
9 9
10 28
11 8
12 6
13 2
14 15
15 32
16 9
17 19
18
Memristor modeling based on its constitutive relation
11
19 65
20 157

About Zdeněk Biolek

Zdeněk Biolek is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 68 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (55 papers), Neuroscience and Neural Engineering (31 papers) and Neural dynamics and brain function (25 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Electrical and Electronic Engineering (1.9k citations) and Cognitive Neuroscience (562 citations). Zdeněk Biolek has collaborated with scholars based in Czechia, Germany and Israel. Frequent co-authors include Dalibor Biolek, Viera Biolková, Zdeněk Kolka, Juraj Valsa, Ronald Tetzlaff, Alon Ascoli, Dejan V. Tošić, Shahar Kvatinsky and Lubomír Brančík. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

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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