Peter Reichl

3.1k citations
114 papers · 1.4k · h-index 20

Impact in

Papers in

Peter Reichl

99 papers receiving 1.3k citations

Peers

Peter Reichl
Comparison fields: 5 of 103
  • Computer Networks and Communications 706
  • Computer Vision and Pattern Recognition 526
  • Human-Computer Interaction 126
  • Media Technology 90
  • Signal Processing 101
Replace Timo Koskela with:
Timo Koskela Finland
Sulaiman Khan Pakistan
Riri Fitri Sari Indonesia
Guangyan Huang Australia
M. M. Manohara Pai India
José L. Hernández-Ramos Spain
Xiaohui Zhao China
Michael Weeks United States
Yehia Elkhatib United Kingdom
Bernady O. Apduhan Japan
Peter Reichl relative to Timo Koskela Finland Timo Koskela's profile →
Citations per field
00.5×3.4×
Timo Koskela · 1×
Citations per year

Countries citing papers authored by Peter Reichl

Since Specialization
Citations

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

Fields of papers citing papers by Peter Reichl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010199
2 2011135
3 201286
4 201551
5 201144
6 200441
7 201541
8 200138
9 201535
10 200834
11 200234
12 200728
13 200924
14 201321
15 201221
16 201720
17 200520
18 200420
19 200320
20 201220

About Peter Reichl

Peter Reichl is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Human-Computer Interaction and Sociology and Political Science, having authored 114 papers that have together received 1.4k indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (32 papers), Image and Video Quality Assessment (19 papers), IPv6, Mobility, Handover, Networks, Security (18 papers), Wireless Networks and Protocols (16 papers), Wireless Communication Networks Research (14 papers), Advanced Wireless Network Optimization (11 papers), Multimedia Communication and Technology (7 papers) and Peer-to-Peer Network Technologies (6 papers). The work is most often cited by research in Computer Networks and Communications (706 citations), Computer Vision and Pattern Recognition (526 citations), Human-Computer Interaction (126 citations), Media Technology (90 citations) and Signal Processing (101 citations). Peter Reichl has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Raimund Schatz, Sebastian Egger, Alessandro D’Alconzo, Burkhard Stiller, Patrick Zwickl, Ivan Gojmerac, Andreas Sackl, Thomas Ziegler, Joachim Fabini and Markus Fiedler. Their work appears in journals such as Computer Networks, Computer Communications, Hydrogeology Journal, Applied Geochemistry and NETNOMICS Economic Research and Electronic Networking.

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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