Stephan Hess

26 papers receiving 467 citations

Peers

Stephan Hess
Comparison fields: 5 of 112
  • Physical and Theoretical Chemistry 106
  • Human-Computer Interaction 41
  • Pharmacology 35
  • Biophysics 18
  • Management of Technology and Innovation 24
Replace Christoph Grebner with:
Christoph Grebner Germany
Yohei Iwasaki Japan
Simon Müller Germany
Fang‐Yu Lin Taiwan
Liying Lang China
Martin G. Hicks Germany
Sabrina Jaeger-Honz Germany
L. A. Kristiansen Norway
David H. Kitson United States
Stephan Hess relative to Christoph Grebner Germany Christoph Grebner's profile →
Citations per field
00.5×4.6×
Christoph Grebner · 1×
Citations per year

Countries citing papers authored by Stephan Hess

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Hess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephan Hess, 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 Hess Line = papers co-authored together Stephan Hess 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 200178
2 200254
3 200347
4 200746
5 201842
6 200239
7 199939
8 199924
9 201220
10 200218
11 200015
12 201315
13 20208
14 20207
15 20196
16 19996
17 20034
18 20043
19
UTILIZATION OF MOBILE EYE TRACKING DATA TO IMPROVE ENGINEERING DESIGN EDUCATION
20173
20 20113

About Stephan Hess

Stephan Hess is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Physical and Theoretical Chemistry, Strategy and Management and Spectroscopy, having authored 27 papers that have together received 488 indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Photochemistry and Electron Transfer Studies (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Innovation and Knowledge Management (3 papers), Innovation Policy and R&D (2 papers), Entrepreneurship Studies and Influences (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Physical and Theoretical Chemistry (106 citations), Human-Computer Interaction (41 citations), Pharmacology (35 citations), Biophysics (18 citations) and Management of Technology and Innovation (24 citations). Stephan Hess has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include M.E. Michel‐Beyerle, William B. Davis, Peter Vöhringer, Roland Siegwart, Helge Bürsing, Mirko Meboldt, Quentin Lohmeyer, Eva Hummers, Marshall D. Newton and Michael M. Kochen. Their work appears in journals such as Journal of the American Chemical Society, Formal Aspects of Computing, Bioorganic & Medicinal Chemistry Letters, Artificial intelligence for engineering design analysis and manufacturing and Physical Review Letters.

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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