Kai Daniel

703 citations
31 papers · 495 · h-index 11

Impact in

Papers in

Kai Daniel

27 papers receiving 468 citations

Peers

Kai Daniel
Comparison fields: 5 of 46
  • Aerospace Engineering 352
  • Computer Networks and Communications 298
  • Electrical and Electronic Engineering 199
  • Computer Vision and Pattern Recognition 59
  • Media Technology 15
Replace Mahendra K. Shukla with:
Mahendra K. Shukla India
Jérôme Henry Canada
Mahdi Ben Ghorbel United States
Ali Taleb Zadeh Kasgari United States
Fan Sun Denmark
Anna Calveras Spain
Hua Ding China
Changfeng Ding China
Qubeijian Wang China
Ning Huang Macao
Kai Daniel relative to Mahendra K. Shukla India Mahendra K. Shukla's profile →
Citations per field
00.5×10×15×20.5×
Mahendra K. Shukla · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012106
2 200993
3 201142
4
Using Public Network Infrastructures for UAV Remote Sensing in Civilian Security Operations
201141
5 201041
6 201034
7 200720
8 201020
9 201017
10 201015
11 201013
12 20108
13 20086
14 20116
15 20085
16 20244
17 20094
18 20114
19 20094
20 20242

About Kai Daniel

Kai Daniel is a scholar working on Computer Networks and Communications, Aerospace Engineering, Electrical and Electronic Engineering, Hardware and Architecture and Artificial Intelligence, having authored 31 papers that have together received 495 indexed citations. Recurring topics across this work include UAV Applications and Optimization (15 papers), Distributed Control Multi-Agent Systems (12 papers), Opportunistic and Delay-Tolerant Networks (7 papers), IPv6, Mobility, Handover, Networks, Security (5 papers), Mobile Ad Hoc Networks (4 papers), Physical Unclonable Functions (PUFs) and Hardware Security (4 papers), Advanced Wireless Network Optimization (3 papers) and Wireless Communication Networks Research (3 papers). The work is most often cited by research in Aerospace Engineering (352 citations), Computer Networks and Communications (298 citations), Electrical and Electronic Engineering (199 citations), Computer Vision and Pattern Recognition (59 citations) and Media Technology (15 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, Daniel Behnke, Edwin Naroska, Agata Kołakowska and Roman Obermaisser. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, Electronics, IEEE Sensors Journal and Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School).

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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