M. Koudelka‐Hep

4.0k citations
118 papers · 3.2k indexed · h-index 34

M. Koudelka‐Hep

115 papers receiving 3.1k citations

Peers

M. Koudelka‐Hep
Comparison fields: 5 of 109
  • Bioengineering 1.1k
  • Electrochemistry 1.1k
  • Cellular and Molecular Neuroscience 1.1k
  • Cognitive Neuroscience 634
  • Electrical and Electronic Engineering 1.5k
Replace Keiichi Torimitsu with:
Keiichi Torimitsu Japan
Yumi Yoshida Japan
Leslie A. Sombers United States
Carmen Bartic Belgium
Gregory S. McCarty United States
Yibai Hu United States
Harold G. Monbouquette United States
Gemma Gabriel Spain
Fei Wu China
Royce C. Engstrom United States
M. Koudelka‐Hep relative to Keiichi Torimitsu Japan Keiichi Torimitsu's profile →
Citations per field
00.5×4.0×
Keiichi Torimitsu · 1×
Citations per year

Countries citing papers authored by M. Koudelka‐Hep

Since Specialization
Citations

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

Fields of papers citing papers by M. Koudelka‐Hep

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Koudelka‐Hep. 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. Koudelka‐Hep. The network helps show where M. Koudelka‐Hep may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201011
2 201052
3 2009261
4 200811
5 2008105
6 200713
7 200624
8 200515
9 200488
10 200413
11 20019
12 200126
13
A new calcium sensor based on ion-selective conductometric microsensors - membranes and features
20011
14 200157
15 199953
16 199940
17 199764
18 199443
19
Micro Chemical Analysis System for an Electronic Nose
19931
20 19927

About M. Koudelka‐Hep

M. Koudelka‐Hep is a scholar working on Bioengineering, Electrochemistry and Cellular and Molecular Neuroscience, having authored 118 papers that have together received 3.2k indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (68 papers), Electrochemical Analysis and Applications (57 papers), Electrochemical sensors and biosensors (33 papers), Neuroscience and Neural Engineering (33 papers), Microfluidic and Capillary Electrophoresis Applications (17 papers), Advanced biosensing and bioanalysis techniques (15 papers), Neural dynamics and brain function (13 papers) and Advanced Memory and Neural Computing (10 papers). The work is most often cited by research in Bioengineering (1.1k citations), Electrochemistry (1.1k citations) and Cellular and Molecular Neuroscience (1.1k citations). M. Koudelka‐Hep has collaborated with scholars based in Switzerland, Italy and Germany. Frequent co-authors include Ν. F. de Rooij, G. C. Fiaccabrino, Luca Berdondini, Sérgio Martinoia, D. J. Strike, P. D. van der Wal, N. F. de Rooij, Kilian Imfeld, Jacques Buffle and Alessandro Maccione. Their work appears in journals such as Analytical Chemistry, The Journal of Physical Chemistry B and The Journal of Physical Chemistry.

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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