M. Gräf

1.7k citations
65 papers · 1.4k · h-index 23

Impact in

Papers in

M. Gräf

62 papers receiving 1.3k citations

Peers

M. Gräf
Comparison fields: 5 of 94
  • Bioengineering 545
  • Electrical and Electronic Engineering 1.0k
  • Biomedical Engineering 682
  • Fluid Flow and Transfer Processes 46
  • Materials Chemistry 308
Replace K.G. Kreider with:
K.G. Kreider United States
C.J. Dias Portugal
Abhijit V. Shevade United States
Jianwei Zhang China
Pierre Fabry France
Xize Niu United Kingdom
Pankaj Agarwal India
Feifei Yin China
Anne Marie Gué France
Fabien Josse United States
M. Gräf relative to K.G. Kreider United States K.G. Kreider's profile →
Citations per field
00.5×2×2.7×
K.G. Kreider · 1×
Citations per year

Countries citing papers authored by M. Gräf

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with M. Gräf Line = papers co-authored together M. Gräf links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008185
2 2008130
3 200574
4 200471
5 200467
6 200451
7 200648
8 200744
9 200843
10 200641
11 197940
12 200837
13 200437
14 200732
15 200430
16 200329
17 200529
18 200128
19 200427
20 200627

About M. Gräf

M. Gräf is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Bioengineering, Atomic and Molecular Physics, and Optics and Cellular and Molecular Neuroscience, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (29 papers), Analytical Chemistry and Sensors (27 papers), Advanced Chemical Sensor Technologies (20 papers), Advancements in Semiconductor Devices and Circuit Design (7 papers), Electric and Hybrid Vehicle Technologies (4 papers), Neuroscience and Neural Engineering (4 papers), Silicon Carbide Semiconductor Technologies (4 papers) and Photoreceptor and optogenetics research (4 papers). The work is most often cited by research in Bioengineering (545 citations), Electrical and Electronic Engineering (1.0k citations), Biomedical Engineering (682 citations), Fluid Flow and Transfer Processes (46 citations) and Materials Chemistry (308 citations). M. Gräf has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Andreas Hierlemann, Antonio Tricoli, Sotiris E. Pratsinis, Diego Barrettino, S. Taschini, Christoph Hagleitner, H. Baltes, K.‐U. Kirstein, Udo Weimar and Nicolae Bârsan. Their work appears in journals such as Journal of Micromechanics and Microengineering, Sensors and Actuators B Chemical, IEEE Journal of Solid-State Circuits, Analytical Chemistry and IEEE Sensors Journal.

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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