G. Eckstein

1.2k citations
20 papers · 995 indexed · h-index 14

Impact in

Papers in

G. Eckstein

20 papers receiving 978 citations

Peers

G. Eckstein
Comparison fields: 5 of 62
  • Bioengineering 229
  • Cellular and Molecular Neuroscience 441
  • Cognitive Neuroscience 210
  • Biomedical Engineering 455
  • Electrochemistry 57
Replace Robert J. Huber with:
Robert J. Huber United States
P. D. van der Wal Switzerland
Christian Bergaud France
Jer‐Chyi Wang Taiwan
Max Seifert Germany
J. Ehrlich United States
Tadayuki Matsuo Japan
Michele Di Lauro Italy
Jeffrey Abbott United States
Dimitrios A. Koutsouras Germany
G. Eckstein relative to Robert J. Huber United States Robert J. Huber's profile →
Citations per field
00.5×1.5×
Robert J. Huber · 1×
Citations per year

Countries citing papers authored by G. Eckstein

Since Specialization
Citations

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

Fields of papers citing papers by G. Eckstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2003315
2 2003188
3 2003130
4 201151
5 200748
6 200443
7 200242
8 200734
9 200324
10 201018
11 200617
12 196917
13 197214
14 199913
15 200612
16 200411
17 19685
18 19985
19 20065
20 19733

About G. Eckstein

G. Eckstein is a scholar working on Biomedical Engineering, Bioengineering, Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 20 papers that have together received 995 indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (6 papers), Chemical Synthesis and Characterization (4 papers), Mechanical and Optical Resonators (4 papers), Radioactive element chemistry and processing (4 papers), Neuroscience and Neural Engineering (3 papers), Innovative Energy Harvesting Technologies (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Acoustic Wave Resonator Technologies (2 papers). The work is most often cited by research in Bioengineering (229 citations), Cellular and Molecular Neuroscience (441 citations), Cognitive Neuroscience (210 citations), Biomedical Engineering (455 citations) and Electrochemistry (57 citations). G. Eckstein has collaborated with scholars based in Germany and France. Frequent co-authors include M. Schreiter, R. Gabl, R. Thewes, B. Holzapfl, Christian Paulus, Peter Fromherz, Franz Hofmann, M. Jenkner, B. Eversmann and Markus Brenner. Their work appears in journals such as Sensors and Actuators A Physical, physica status solidi (b), Journal of the American Chemical Society, Solid State Ionics and IEEE Journal of Solid-State Circuits.

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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