Michael Heß

835 citations
47 papers · 602 · h-index 11

Impact in

Papers in

Michael Heß

39 papers receiving 556 citations

Peers

Michael Heß
Comparison fields: 5 of 97
  • Polymers and Plastics 219
  • Fluid Flow and Transfer Processes 71
  • Electronic, Optical and Magnetic Materials 123
  • Biomaterials 62
  • Molecular Medicine 20
Replace Chun-Ming Hsu with:
Chun-Ming Hsu United States
Chun‐Hung Wu Taiwan
Han Earl Yang China
Timothy C. Moore United States
Rupali S. Patil India
Ching-Wei Johnny Lee United States
Jungki Kim South Korea
Tzyy‐Shyang Lin United States
Hans Peter Großmann Germany
Miaozhen Li China
Michael Heß relative to Chun-Ming Hsu United States Chun-Ming Hsu's profile →
Citations per field
00.5×2×2.6×
Chun-Ming Hsu · 1×
Citations per year

Countries citing papers authored by Michael Heß

Since Specialization
Citations

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

Fields of papers citing papers by Michael Heß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022144
2 200356
3 199456
4 199344
5 199843
6 199840
7 198830
8 199323
9 200622
10 199119
11 200117
12 200311
13 199011
14 19999
15 20037
16 19927
17 20037
18 20026
19 19855
20 19945

About Michael Heß

Michael Heß is a scholar working on Artificial Intelligence, Fluid Flow and Transfer Processes, Polymers and Plastics, Electronic, Optical and Magnetic Materials and Management of Technology and Innovation, having authored 47 papers that have together received 602 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Semantic Web and Ontologies (11 papers), Topic Modeling (10 papers), Liquid Crystal Research Advancements (7 papers), Material Dynamics and Properties (5 papers), Rheology and Fluid Dynamics Studies (4 papers), Digital Innovation in Industries (4 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Polymers and Plastics (219 citations), Fluid Flow and Transfer Processes (71 citations), Electronic, Optical and Magnetic Materials (123 citations), Biomaterials (62 citations) and Molecular Medicine (20 citations). Michael Heß has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Witold Brostow, Chin Han Chan, Betty L. López, James Dowdall, Fabio Rinaldi, Kaarel Kaljurand, Diego Mollá, ROBERT KOSFELD, Sławomir Błoński and Elizabeth G. Jacobs. Their work appears in journals such as Macromolecules, Materials Research Innovations, Macromolecular Symposia, Oriens and Polymer Engineering and Science.

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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