Michael Neumann
Impact in
- Materials Chemistry top 10%
- 2D Materials and Applications
- Graphene research and applications
- MXene and MAX Phase Materials
- Diamond and Carbon-based Materials Research
- Biophysics top 5%
Papers in
-
- 2D Materials and Applications 6
- Graphene research and applications 5
- MXene and MAX Phase Materials 4
- Co-authors
- Detlef Gabel (4 shared papers)Ngoc Thang Vu (5 shared papers)David Goldhaber‐Gordon (3 shared papers)Georgi Diankov (1 shared paper)Hyun Ju Park (2 shared papers)Je‐Geun Park (2 shared papers)Tae Won Noh (2 shared papers)Cheng‐Tai Kuo (2 shared papers)
- Journals
- Canadian Journal of Philosophy (3 papers)Nano Letters (2 papers)ACS Nano (2 papers)Biomedical Chromatography (2 papers)Analysis (2 papers)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Michael Neumann
61 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 137
- Materials Chemistry 587
- Biophysics 62
- Signal Processing 106
- Experimental and Cognitive Psychology 116
- Structural Biology 9
Countries citing papers authored by Michael Neumann
This map shows the geographic impact of Michael 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 Michael Neumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Neumann more than expected).
Fields of papers citing papers by Michael Neumann
This network shows the impact of papers produced by Michael 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 Michael Neumann. The network helps show where Michael Neumann may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Neumann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 252 | |
| 2 | 2002 | 148 | |
| 3 | 2012 | 112 | |
| 4 | 2019 | 95 | |
| 5 | 2013 | 94 | |
| 6 | 1998 | 89 | |
| 7 | 2017 | 66 | |
| 8 | 2019 | 57 | |
| 9 | 1990 | 53 | |
| 10 | 1989 | 47 | |
| 11 | 1987 | 32 | |
| 12 | Induction of nuclear factor-kappa B during primary B cell differentiation. | 1998 | 32 |
| 13 | 2023 | 29 | |
| 14 | 2020 | 27 | |
| 15 | 2015 | 26 | |
| 16 | 2000 | 18 | |
| 17 | 1985 | 17 | |
| 18 | 2002 | 15 | |
| 19 | 2000 | 15 | |
| 20 | 2016 | 13 |
About Michael Neumann
Michael Neumann is a scholar working on Artificial Intelligence, Materials Chemistry, Biomedical Engineering, Experimental and Cognitive Psychology and Philosophy, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include 2D Materials and Applications (6 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Graphene research and applications (5 papers), Emotion and Mood Recognition (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers), MXene and MAX Phase Materials (4 papers) and Speech and Audio Processing (4 papers). The work is most often cited by research in Materials Chemistry (587 citations), Biophysics (62 citations), Signal Processing (106 citations), Experimental and Cognitive Psychology (116 citations) and Structural Biology (9 citations). Michael Neumann has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Detlef Gabel, Ngoc Thang Vu, David Goldhaber‐Gordon, Georgi Diankov, Hyun Ju Park, Je‐Geun Park, Tae Won Noh, Cheng‐Tai Kuo, Hung Wei Shiu and Moonsup Han. Their work appears in journals such as Canadian Journal of Philosophy, Nano Letters, ACS Nano, Biomedical Chromatography and Analysis.
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.