Jörg Keller

1.6k citations
193 papers · 1.0k · h-index 16

Impact in

Papers in

Jörg Keller

173 papers receiving 923 citations

Peers

Jörg Keller
Comparison fields: 5 of 85
  • Hardware and Architecture 389
  • Computer Networks and Communications 601
  • Signal Processing 170
  • Artificial Intelligence 360
  • Computer Vision and Pattern Recognition 199
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Citations per field
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Citations per year

Countries citing papers authored by Jörg Keller

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Practical PRAM programming
200075
2 199249
3 202129
4 201524
5 200324
6 201123
7 200823
8 202022
9 201722
10 201821
11 201417
12 199617
13
Hardware design
199517
14 201116
15 201716
16 199415
17 200815
18 199315
19 202114
20 201813

About Jörg Keller

Jörg Keller is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 193 papers that have together received 1.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (72 papers), Internet Traffic Analysis and Secure E-voting (36 papers), Interconnection Networks and Systems (35 papers), Distributed and Parallel Computing Systems (32 papers), Advanced Malware Detection Techniques (25 papers), Network Security and Intrusion Detection (24 papers), Cloud Computing and Resource Management (22 papers) and Advanced Steganography and Watermarking Techniques (19 papers). The work is most often cited by research in Hardware and Architecture (389 citations), Computer Networks and Communications (601 citations), Signal Processing (170 citations), Artificial Intelligence (360 citations) and Computer Vision and Pattern Recognition (199 citations). Jörg Keller has collaborated with scholars based in Germany, Sweden and Poland. Frequent co-authors include Christoph Keßler, Steffen Wendzel, Wolfgang J. Paul, Jesper Larsson Träff, Wojciech Mazurczyk, Arno Formella, Luca Caviglione, Wolfram Schiffmann, Ferri Abolhassan and Thomas Cluzeau. Their work appears in journals such as Lecture notes in computer science, Journal of Systems Architecture, Future Generation Computer Systems, ACM Computing Surveys and SAE technical papers on CD-ROM/SAE technical paper series.

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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