P. Zejdl

983 citations
10 papers · 55 indexed · h-index 6

Impact in

Papers in

P. Zejdl

10 papers receiving 54 citations

Peers

P. Zejdl
Comparison fields: 5 of 24
  • Signal Processing 16
  • Computer Networks and Communications 26
  • Hardware and Architecture 6
  • Computer Vision and Pattern Recognition 17
  • Artificial Intelligence 26
Replace François Koeune with:
François Koeune Belgium
Quynh Dang United States
Andrew Regenscheid United States
Andreas Pashalidis Belgium
Xavier Corbillon France
Itai Dinur Israel
Ravin Ahuja India
Christian Forler Germany
Donna Dodson United States
Willie Chang United States
P. Zejdl relative to François Koeune Belgium François Koeune's profile →
Citations per field
00.5×
François Koeune · 1×
Citations per year

Countries citing papers authored by P. Zejdl

Since Specialization
Citations

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

Fields of papers citing papers by P. Zejdl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside P. Zejdl, 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 P. Zejdl Line = papers co-authored together P. Zejdl links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201014
2 201014
3 20086
4 20116
5 20226
6 20075
7 20241
8 20121
9 20241
10 20121

About P. Zejdl

P. Zejdl is a scholar working on Computer Networks and Communications, Artificial Intelligence, Nuclear and High Energy Physics, Sociology and Political Science and Signal Processing, having authored 10 papers that have together received 55 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (3 papers), Network Security and Intrusion Detection (3 papers), Particle physics theoretical and experimental studies (3 papers), Particle Detector Development and Performance (2 papers), Multimedia Communication and Technology (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Cloud Computing and Remote Desktop Technologies (2 papers) and Advanced Optical Network Technologies (1 paper). The work is most often cited by research in Signal Processing (16 citations), Computer Networks and Communications (26 citations), Hardware and Architecture (6 citations), Computer Vision and Pattern Recognition (17 citations) and Artificial Intelligence (26 citations). P. Zejdl has collaborated with scholars based in Czechia, Switzerland and Italy. Frequent co-authors include Michal Kršek, G. Grosso, Christian Deldicque, A. Rácz, Jiří Navrátil, T. James, Marc Dobson, Sabrina Giorgetti, Hannes Sakulin and R. Ardino. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Future Generation Computer Systems, IEEE Multimedia, Journal of Instrumentation and Zenodo (CERN European Organization for Nuclear Research).

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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