Gero Dittmann

496 citations
28 papers · 345 · h-index 10

Impact in

Papers in

Gero Dittmann

25 papers receiving 326 citations

Peers

Gero Dittmann
Comparison fields: 5 of 37
  • Hardware and Architecture 169
  • Computer Networks and Communications 237
  • Information Systems 134
  • Artificial Intelligence 50
  • Signal Processing 16
Replace Berkin Özıṣıkyılmaz with:
Berkin Özıṣıkyılmaz United States
Yongseok Son South Korea
Tammo Spalink United States
Duck‐Ho Bae South Korea
Marco Lattuada Italy
Ferad Zyulkyarov Spain
Matthieu Dorier United States
Donna Dillenberger United States
Jelica Protić Serbia
James H. Laros United States
Gero Dittmann relative to Berkin Özıṣıkyılmaz United States Berkin Özıṣıkyılmaz's profile →
Citations per field
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Berkin Özıṣıkyılmaz · 1×
Citations per year

Countries citing papers authored by Gero Dittmann

Since Specialization
Citations

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

Fields of papers citing papers by Gero Dittmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Network Processor Load Balancing for High-Speed Links
200058
2 201949
3 201935
4 200527
5 200827
6 201723
7 201719
8 201714
9 201613
10 201512
11 20079
12 20218
13 20128
14 20157
15 20156
16 20165
17 20145
18 20034
19 20154
20 20042

About Gero Dittmann

Gero Dittmann is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Artificial Intelligence, having authored 28 papers that have together received 345 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (14 papers), Embedded Systems Design Techniques (9 papers), Advanced Data Storage Technologies (6 papers), Interconnection Networks and Systems (6 papers), Blockchain Technology Applications and Security (4 papers), Cloud Computing and Resource Management (4 papers), Radio Astronomy Observations and Technology (2 papers) and Network Packet Processing and Optimization (2 papers). The work is most often cited by research in Hardware and Architecture (169 citations), Computer Networks and Communications (237 citations), Information Systems (134 citations), Artificial Intelligence (50 citations) and Signal Processing (16 citations). Gero Dittmann has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Andreas Herkersdorf, Jens Jelitto, Andreea Anghel, Giovanni Mariani, Andreas Kind, Iluminada Baturone, David E. Taylor, Andreas Döring, Henk Corporaal and Geert Janssen. Their work appears in journals such as Computer Networks, Internet of Things, IBM Journal of Research and Development, IEEE/ACM Transactions on Networking and IEEE Transactions on Computers.

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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