Kai Daniel

706 citations
35 papers · 564 · h-index 11

Impact in

Papers in

Kai Daniel

33 papers receiving 530 citations

Peers

Kai Daniel
Comparison fields: 5 of 51
  • Aerospace Engineering 385
  • Computer Networks and Communications 337
  • Electrical and Electronic Engineering 227
  • Computer Vision and Pattern Recognition 70
  • Media Technology 18
Replace Jaesung Lim with:
Jaesung Lim South Korea
Mahendra K. Shukla India
Ning Huang Macao
Anna Calveras Spain
Changfeng Ding China
Simran Singh United States
Xiaoyang Li China
Fan Sun Denmark
Aziz Altaf Khuwaja Pakistan
Kai Daniel relative to Jaesung Lim South Korea Jaesung Lim's profile →
Citations per field
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Jaesung Lim · 1×
Citations per year

Countries citing papers authored by Kai Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Kai Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Kai Daniel, 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 Kai Daniel Line = papers co-authored together Kai Daniel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012116
2 2009103
3 201146
4
Using Public Network Infrastructures for UAV Remote Sensing in Civilian Security Operations
201143
5 201042
6 201038
7 200721
8 201021
9 201019
10 201016
11 201014
12 201410
13 20108
14 20098
15 20117
16 20097
17 20086
18 20085
19 20244
20 20114

About Kai Daniel

Kai Daniel is a scholar working on Computer Networks and Communications, Aerospace Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Hardware and Architecture, having authored 35 papers that have together received 564 indexed citations. Recurring topics across this work include UAV Applications and Optimization (16 papers), Distributed Control Multi-Agent Systems (13 papers), Opportunistic and Delay-Tolerant Networks (7 papers), IPv6, Mobility, Handover, Networks, Security (5 papers), Physical Unclonable Functions (PUFs) and Hardware Security (5 papers), Advanced Wireless Network Optimization (4 papers), Mobile Ad Hoc Networks (4 papers) and Wireless Communication Networks Research (3 papers). The work is most often cited by research in Aerospace Engineering (385 citations), Computer Networks and Communications (337 citations), Electrical and Electronic Engineering (227 citations), Computer Vision and Pattern Recognition (70 citations) and Media Technology (18 citations). Kai Daniel has collaborated with scholars based in Germany and South Korea. Frequent co-authors include Christian Wietfeld, Niklas Goddemeier, Bjoern Dusza, Sebastian Rohde, Faqir Zarrar Yousaf, Andreas Wolff, Edwin Naroska, Daniel Behnke, Thomas J. Weber and Roman Obermaisser. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Sensors Journal, Electronics, Lecture notes in computer science and Lecture notes in networks and systems.

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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