Czech Technical University in Prague

448.2k citations
31.6k papers ·

Impact in

Papers in

Czech Technical University in Prague

28.9k papers receiving 448k citations

Peers

Czech Technical University in Prague
Comparison fields: 5 of 248
  • Computer Vision and Pattern Recognition 67.9k
  • Nuclear and High Energy Physics 22.2k
  • Civil and Structural Engineering 26.6k
  • Building and Construction 16.6k
  • Artificial Intelligence 35.8k
Replace TU Wien with:
TU Wien Austria
University of Trento Italy
University of Stuttgart Germany
Graz University of Technology Austria
Technische Universität Darmstadt Germany
AGH University of Krakow Poland
Technische Universität Braunschweig Germany
Warsaw University of Technology Poland
Karlsruhe Institute of Technology Germany
Politecnico di Milano Italy
Czech Technical University in Prague relative to TU Wien Austria TU Wien's profile →
Citations per field
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TU Wien · 1×
Citations per year

Countries citing scholars working at Czech Technical University in Prague

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Czech Technical University in Prague. 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 papers produced at Czech Technical University in Prague with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Czech Technical University in Prague more than expected).

Fields of papers published by authors at Czech Technical University in Prague

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Czech Technical University in Prague at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Czech Technical University in Prague at the time of their publication.

About Czech Technical University in Prague

In recent decades, authors affiliated with Czech Technical University in Prague have published 31.6k papers, which have received a total of 448.2k indexed citations . Scholars at this organization have produced 2k papers in Nuclear and High Energy Physics, 2.4k papers in Civil and Structural Engineering, 860 papers in Radiation, 1.4k papers in Building and Construction and 223 papers in Instrumentation on the topics of Particle Detector Development and Performance (602 papers), Concrete and Cement Materials Research (558 papers), Solid State Laser Technologies (519 papers), Laser-Plasma Interactions and Diagnostics (478 papers), Radiation Detection and Scintillator Technologies (387 papers), Hygrothermal properties of building materials (361 papers), Innovative concrete reinforcement materials (315 papers) and Advanced Vision and Imaging (305 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (67.9k citations), Nuclear and High Energy Physics (22.2k citations), Civil and Structural Engineering (26.6k citations), Building and Construction (16.6k citations) and Artificial Intelligence (35.8k citations). Authors at Czech Technical University in Prague collaborate with scholars in Czechia, United States and Germany and have published in prestigious journals including Journal of Instrumentation, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Radioanalytical and Nuclear Chemistry, Materials and Applied Sciences. Some of Czech Technical University in Prague's most productive authors include Jiřı́ Matas, Martin Suda, Tomáš Pajdla, Ondřej Chum, Robert Černý, Pavel Ripka, Václav Hlaváč, Josef Šivic, Krystian Mikolajczyk and Tomáš Pevný.

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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