Stephan Neumann

694 citations
80 papers · 503 · h-index 13

Impact in

Papers in

Stephan Neumann

75 papers receiving 478 citations

Peers

Stephan Neumann
Comparison fields: 5 of 72
  • Artificial Intelligence 192
  • Signal Processing 44
  • Information Systems 87
  • Mechanical Engineering 126
  • Control and Systems Engineering 77
Replace Ming Ma with:
Ming Ma China
Frederic Kleinermann Belgium
Alfons Schuster United Kingdom
Erdong Chen China
Johanna Ullrich Austria
Junaid Akram Australia
Jiejun Hu China
QingE Wu China
Md Nazmul Islam United States
Halil İbrahim Bülbül Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Stephan Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201736
2 201334
3 201631
4 202024
5 201222
6 202221
7 201719
8 202118
9 201716
10 201316
11 201115
12 201414
13 201313
14 201412
15 201710
16 201310
17 20149
18 20209
19 20168
20 20138

About Stephan Neumann

Stephan Neumann is a scholar working on Artificial Intelligence, Mechanical Engineering, Control and Systems Engineering, Information Systems and Sociology and Political Science, having authored 80 papers that have together received 503 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (27 papers), Cryptography and Data Security (12 papers), Privacy, Security, and Data Protection (11 papers), Gear and Bearing Dynamics Analysis (11 papers), Tribology and Lubrication Engineering (9 papers), Access Control and Trust (8 papers), Machine Fault Diagnosis Techniques (7 papers) and Digitalization, Law, and Regulation (6 papers). The work is most often cited by research in Artificial Intelligence (192 citations), Signal Processing (44 citations), Information Systems (87 citations), Mechanical Engineering (126 citations) and Control and Systems Engineering (77 citations). Stephan Neumann has collaborated with scholars based in Germany, Sweden and United Kingdom. Frequent co-authors include Melanie Volkamer, Georg Jacobs, Oksana Kulyk, Johannes N. Hoffmann, Thorsten Holz, Dennis Fischer, Francisco Gerardo Antonio Gutierrez Guzman, Karola Marky, Joerg Berroth and Fatemeh Shirazi. Their work appears in journals such as Tribology International, Applied Sciences, IEEE Security & Privacy, Cellular Physiology and Biochemistry and Mechanism and Machine Theory.

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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