Ike Kunze

406 citations
20 papers · 184 · h-index 7

Impact in

Papers in

Ike Kunze

18 papers receiving 178 citations

Peers

Ike Kunze
Comparison fields: 5 of 43
  • Industrial and Manufacturing Engineering 46
  • Computer Networks and Communications 81
  • Information Systems 40
  • Artificial Intelligence 34
  • Management Information Systems 9
Replace Patrick Sondi with:
Patrick Sondi France
István Koren Germany
Hussain Ben-Azza Morocco
Pascal Hirmer Germany
Eric D. Simmon United States
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Lukas Reinfurt Germany
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Citations per field
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Citations per year

Countries citing papers authored by Ike Kunze

Since Specialization
Citations

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

Fields of papers citing papers by Ike Kunze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202256
2 201927
3 201720
4 202017
5 202115
6 202110
7
Tofino + P4: A Strong Compound for AQM on High-Speed Networks?
20216
8 20196
9 20215
10 20215
11 20194
12
Transport Protocol Issues of In-Network Computing Systems
20204
13 20242
14 20232
15 20202
16 20251
17 20221
18
Industrial Use Cases for In-Network Computing
20201
19 20250
20 20240

About Ike Kunze

Ike Kunze is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 20 papers that have together received 184 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (7 papers), Caching and Content Delivery (5 papers), Network Traffic and Congestion Control (5 papers), IoT and Edge/Fog Computing (4 papers), Flexible and Reconfigurable Manufacturing Systems (3 papers), Digital Transformation in Industry (3 papers), Manufacturing Process and Optimization (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (46 citations), Computer Networks and Communications (81 citations), Information Systems (40 citations), Artificial Intelligence (34 citations) and Management Information Systems (9 citations). Ike Kunze has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Klaus Wehrle, Jan Pennekamp, Jan Rüth, Martina Ziefle, Philipp Brauner, Philipp Niemietz, Bernhard Rumpe⋆, Manuela Dalibor, Christoph Quix and István Koren. Their work appears in journals such as IEEE Transactions on Network and Service Management, BMC Medical Genomics, Procedia Manufacturing, TUbilio (Technical University of Darmstadt) and Procedia CIRP.

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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