Pavel Procházka

1.5k citations
59 papers · 572 indexed · h-index 12

Pavel Procházka

56 papers receiving 563 citations

Peers

Pavel Procházka
Comparison fields: 5 of 99
  • Developmental Neuroscience 64
  • Genetics 76
  • Internal Medicine 21
  • Civil and Structural Engineering 115
  • Cancer Research 69
Replace Hangyan Wang with:
Hangyan Wang China
Matthew R. Bersi United States
Bingkun Chen China
Xiwen Gu China
Zilong Zhu China
Jiaji Pan China
Jue Hu China
Yusha Li China
Nam-Ho Lee South Korea
Fangyuan Li China
Pavel Procházka relative to Hangyan Wang China Hangyan Wang's profile →
Citations per field
00.5×5.3×
Hangyan Wang · 1×
Citations per year

Countries citing papers authored by Pavel Procházka

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Procházka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20230
3 20183
4 201733
5 201617
6 201625
7 20146
8
Wireless-aware Network Coding: Solving a Puzzle in Acyclic Multi-stage Cloud Networks
20131
9 20139
10 20132
11 201262
12 201111
13
A flexible Hardware-In-the-Loop test platform for physical resource sharing mechanisms in wireless networks
20113
14 20116
15 20114
16 201117
17 20101
18 200920
19 200911
20
[Monitoring the quality of medium-meltable porcelains fired on a platinum foil in a vacuum furnace].
19781

About Pavel Procházka

Pavel Procházka is a scholar working on Internal Medicine, Civil and Structural Engineering and Pathology and Forensic Medicine, having authored 59 papers that have together received 572 indexed citations. Recurring topics across this work include Bladed Disk Vibration Dynamics (12 papers), Tribology and Lubrication Engineering (7 papers), Structural Health Monitoring Techniques (7 papers), Genetic factors in colorectal cancer (7 papers), Advanced Measurement and Detection Methods (6 papers), Neuroblastoma Research and Treatments (6 papers), Magnetic Bearings and Levitation Dynamics (4 papers) and Advanced Wireless Communication Technologies (4 papers). The work is most often cited by research in Developmental Neuroscience (64 citations), Genetics (76 citations) and Internal Medicine (21 citations). Pavel Procházka has collaborated with scholars based in Czechia, United Kingdom and Germany. Frequent co-authors include Pavla Jendelová, Eva Syková, Nataliya Romanyuk, Takashi Amemori, Karolína Turnovcová, Tomáš Eckschlager, Jan Hraběta, Marek Brabec, Pavel Vodička and Vı́t Herynek.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026