Vojtěch Dvořák

971 citations
33 papers · 671 · 1 hit paper · h-index 5

Impact in

Papers in

Vojtěch Dvořák

21 papers receiving 619 citations

Vojtěch Dvořák's Hit Papers

Neural networks and fuzzy systems 1993 · 600 citations
6000+11+22Years since publication200400600

Peers

Vojtěch Dvořák
Comparison fields: 5 of 87
  • Artificial Intelligence 406
  • Control and Systems Engineering 177
  • Statistics and Probability 46
  • Management Science and Operations Research 66
  • Computational Theory and Mathematics 58
Replace Zsolt Csaba Johanyák with:
Zsolt Csaba Johanyák Hungary
Shaohua Tan Singapore
Zhou Jun China
D.H. Rao Canada
Agustín Jiménez Spain
Kumar S. Ray India
R. C. Gonzalez United States
Rpw Duin Netherlands
Martin E. Liggins United States
Yi Xiao China
Vojtěch Dvořák relative to Zsolt Csaba Johanyák Hungary Zsolt Csaba Johanyák's profile →
Citations per field
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Zsolt Csaba Johanyák · 1×
Citations per year

Countries citing papers authored by Vojtěch Dvořák

Since Specialization
Citations

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

Fields of papers citing papers by Vojtěch Dvořák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Vojtěch Dvořák, 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 Vojtěch Dvořák Line = papers co-authored together Vojtěch Dvořák links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Neural networks and fuzzy systems
Hit paper breakdown →
1993600
2 197318
3 19707
4 19707
5 20215
6 19724
7
Shape Optimization of Axisymmetric Ejector
20063
8 20063
9 20223
10 20033
11 20082
12 20132
13 20062
14 20152
15 20132
16 20221
17 20161
18 19731
19 19681
20 19711

About Vojtěch Dvořák

Vojtěch Dvořák is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering, Computer Networks and Communications, Biomedical Engineering and Hardware and Architecture, having authored 33 papers that have together received 671 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (6 papers), Analog and Mixed-Signal Circuit Design (5 papers), Sensor Technology and Measurement Systems (3 papers), Low-power high-performance VLSI design (3 papers), Digital Filter Design and Implementation (3 papers), Formal Methods in Verification (3 papers), Interconnection Networks and Systems (3 papers) and Advanced Graph Theory Research (2 papers). The work is most often cited by research in Artificial Intelligence (406 citations), Control and Systems Engineering (177 citations), Statistics and Probability (46 citations), Management Science and Operations Research (66 citations) and Computational Theory and Mathematics (58 citations). Vojtěch Dvořák has collaborated with scholars based in Czechia, Canada and United Kingdom. Frequent co-authors include Petr Novotný, Jan Popelka, Miloslav Ohlídal, Jiří Jaroš, Jan Pacina, Vladimír Danielik, Miroslav Boča and Y.J. Kingma. Their work appears in journals such as Electronics Letters, Transactions in GIS, Knowledge-Based Systems, SIAM Journal on Discrete Mathematics and Journal of Thermal Analysis and Calorimetry.

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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