R. Gabl

1.3k citations
18 papers · 975 indexed · h-index 11

Impact in

Papers in

R. Gabl

18 papers receiving 958 citations

Peers

R. Gabl
Comparison fields: 5 of 56
  • Bioengineering 223
  • Cellular and Molecular Neuroscience 427
  • Biomedical Engineering 545
  • Cognitive Neuroscience 209
  • Electrical and Electronic Engineering 518
Replace M. Schreiter with:
M. Schreiter Germany
K.‐U. Kirstein Switzerland
S. Hafizovic Switzerland
Robert J. Huber United States
Kee Scholten United States
Jeffrey Abbott United States
Günter Wrobel Germany
M. Jenkner Germany
Andrea Spanu Italy
Jeffrey D. Uram United States
R. Gabl relative to M. Schreiter Germany M. Schreiter's profile →
Citations per field
00.5×1.5×
M. Schreiter · 1×
Citations per year

Countries citing papers authored by R. Gabl

Since Specialization
Citations

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

Fields of papers citing papers by R. Gabl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2003315
2 2003188
3 2006144
4 2003130
5 200352
6 200443
7 200630
8 200619
9 199817
10 199714
11 200411
12 20033
13 20022
14 20022
15 20062
16 20211
17 19991
18 20211

About R. Gabl

R. Gabl is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Bioengineering and Materials Chemistry, having authored 18 papers that have together received 975 indexed citations. Recurring topics across this work include Acoustic Wave Resonator Technologies (6 papers), Mechanical and Optical Resonators (5 papers), Analytical Chemistry and Sensors (5 papers), Radio Frequency Integrated Circuit Design (3 papers), Neuroscience and Neural Engineering (3 papers), CCD and CMOS Imaging Sensors (3 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers) and Gas Sensing Nanomaterials and Sensors (2 papers). The work is most often cited by research in Bioengineering (223 citations), Cellular and Molecular Neuroscience (427 citations), Biomedical Engineering (545 citations), Cognitive Neuroscience (209 citations) and Electrical and Electronic Engineering (518 citations). R. Gabl has collaborated with scholars based in Germany, Austria and France. Frequent co-authors include M. Schreiter, W. Wersing, G. Eckstein, R. Primig, D. Pitzer, Peter Fromherz, Franz Hofmann, R. Thewes, M. Jenkner and B. Eversmann. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Sensors and Actuators B Chemical, Sensors and Actuators A Physical, Biosensors and Bioelectronics and Journal of the American Ceramic Society.

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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