Daniel Henkel

597 citations
27 papers · 416 · h-index 10

Impact in

Papers in

Daniel Henkel

26 papers receiving 399 citations

Peers

Daniel Henkel
Comparison fields: 5 of 50
  • Computer Networks and Communications 231
  • Aerospace Engineering 165
  • Automotive Engineering 75
  • Mechanical Engineering 110
  • Industrial and Manufacturing Engineering 20
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Yunpeng Wang China
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Daniel Henkel relative to Javier Pérez-Ramírez Mexico Javier Pérez-Ramírez's profile →
Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by Daniel Henkel

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Henkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Daniel Henkel, 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 Daniel Henkel Line = papers co-authored together Daniel Henkel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004129
2 2018103
3 200826
4 200618
5 200618
6 200717
7 200816
8 199113
9 201112
10 201111
11 20069
12 20219
13 20086
14 20206
15 19965
16 20074
17 20203
18
Structure and properties of engineering materials / Daniel Henkel and Alan W. Pense
20022
19 19942
20 20161

About Daniel Henkel

Daniel Henkel is a scholar working on Computer Networks and Communications, Language and Linguistics, Mechanical Engineering, Automotive Engineering and Artificial Intelligence, having authored 27 papers that have together received 416 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (10 papers), Opportunistic and Delay-Tolerant Networks (10 papers), Cooperative Communication and Network Coding (4 papers), Natural Language Processing Techniques (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Additive Manufacturing Materials and Processes (3 papers), Additive Manufacturing and 3D Printing Technologies (3 papers) and Wireless Networks and Protocols (3 papers). The work is most often cited by research in Computer Networks and Communications (231 citations), Aerospace Engineering (165 citations), Automotive Engineering (75 citations), Mechanical Engineering (110 citations) and Industrial and Manufacturing Engineering (20 citations). Daniel Henkel has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Timothy X. Brown, Cory Dixon, Sheetalkumar Doshi, Brian Argrow, Xiaodong Li, Jeffrey Burdick, Brendan P. Croom, Eric W. Frew, James Wood and Mathias Kretschmer. Their work appears in journals such as NDT & E International, IISE Transactions, Journal of Manufacturing Science and Engineering, Additive manufacturing and Journal of Vacuum Science & Technology A Vacuum Surfaces and Films.

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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