M. Gräf
- Bioengineering top 0.5%
- Analytical Chemistry and Sensors 26
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- Gas Sensing Nanomaterials and Sensors 28
- Advancements in Semiconductor Devices and Circuit Design 7
- Silicon Carbide Semiconductor Technologies 4
- Biomedical Engineering top 5%
- Advanced Chemical Sensor Technologies 20
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- Mechanical and Optical Resonators 4
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- Electric and Hybrid Vehicle Technologies 4
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- Photoreceptor and optogenetics research 3
- Co-authors
- Andreas HierlemannSotiris E. PratsinisAntonio TricoliDiego BarrettinoS. TaschiniChristoph HagleitnerK.‐U. KirsteinH. Baltes
- Journals
- Journal of Micromechanics and Microengineering (3 papers)IEEE Sensors Journal (2 papers)Analytical Chemistry (2 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
M. Gräf
58 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Bioengineering 495
- Electrical and Electronic Engineering 962
- Biomedical Engineering 626
- Fluid Flow and Transfer Processes 45
- Materials Chemistry 289
Countries citing papers authored by M. Gräf
This map shows the geographic impact of M. Gräf'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 M. Gräf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Gräf more than expected).
Fields of papers citing papers by M. Gräf
This network shows the impact of papers produced by M. Gräf. 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 M. Gräf. The network helps show where M. Gräf may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Gräf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2018 | 1 | |
| 3 | 2015 | 7 | |
| 4 | 2012 | 3 | |
| 5 | 2008 | 2 | |
| 6 | 2008 | 124 | |
| 7 | 2007 | 32 | |
| 8 | 2005 | 11 | |
| 9 | 2004 | 67 | |
| 10 | 2004 | 23 | |
| 11 | 2003 | 3 | |
| 12 | 2003 | 7 | |
| 13 | 2003 | 5 | |
| 14 | 2001 | 26 | |
| 15 | 2000 | 13 | |
| 16 | 2000 | 5 | |
| 17 | 1994 | 7 | |
| 18 | 1990 | 2 | |
| 19 | 1988 | 1 | |
| 20 | 1985 | 38 |
About M. Gräf
M. Gräf is a scholar working on Bioengineering, Electrical and Electronic Engineering, Biomedical Engineering, Automotive Engineering and Fluid Flow and Transfer Processes, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (28 papers), Analytical Chemistry and Sensors (26 papers), Advanced Chemical Sensor Technologies (20 papers), Advancements in Semiconductor Devices and Circuit Design (7 papers), Mechanical and Optical Resonators (4 papers), Electric and Hybrid Vehicle Technologies (4 papers), Silicon Carbide Semiconductor Technologies (4 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Bioengineering (495 citations), Electrical and Electronic Engineering (962 citations), Biomedical Engineering (626 citations), Fluid Flow and Transfer Processes (45 citations) and Materials Chemistry (289 citations). M. Gräf has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Andreas Hierlemann, Sotiris E. Pratsinis, Antonio Tricoli, Diego Barrettino, S. Taschini, Christoph Hagleitner, K.‐U. Kirstein, H. Baltes, Udo Weimar and Henry Baltes. Their work appears in journals such as Journal of Micromechanics and Microengineering, IEEE Sensors Journal, Analytical Chemistry, IEEE Journal of Solid-State Circuits and Sensors and Actuators B Chemical.
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.