David Jäckel

811 citations
22 papers · 578 · h-index 11

Impact in

Papers in

David Jäckel

20 papers receiving 567 citations

Peers

David Jäckel
Comparison fields: 5 of 44
  • Cellular and Molecular Neuroscience 492
  • Cognitive Neuroscience 376
  • Electrochemistry 41
  • Electrical and Electronic Engineering 237
  • Bioengineering 21
Replace Gian Nicola Angotzi with:
Gian Nicola Angotzi Italy
Sébastien Joucla France
Michael Fejtl United States
Timothy J. Blanche United States
Jelena Dragas Switzerland
Vijay Viswam Switzerland
Paolo Livi Switzerland
Amir Shadmani Switzerland
H. Haemmerle Germany
Deborah E. Gunning United Kingdom
David Jäckel relative to Gian Nicola Angotzi Italy Gian Nicola Angotzi's profile →
Citations per field
00.5×1.5×1.9×
Gian Nicola Angotzi · 1×
Citations per year

Countries citing papers authored by David Jäckel

Since Specialization
Citations

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

Fields of papers citing papers by David Jäckel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014176
2 201281
3 201257
4 201752
5 201642
6 201242
7 201837
8 201422
9 201617
10 201613
11 201511
12 200910
13 20115
14 20103
15 20113
16 20152
17 20112
18 20251
19
An Automated Method for Characterizing Electrode Properties of High-Density Microelectrode Arrays
20141
20 20131

About David Jäckel

David Jäckel is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering, Electrochemistry and Signal Processing, having authored 22 papers that have together received 578 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (18 papers), Neural dynamics and brain function (15 papers), Advanced Memory and Neural Computing (9 papers), Electrochemical Analysis and Applications (4 papers), EEG and Brain-Computer Interfaces (3 papers), Photoreceptor and optogenetics research (3 papers), Blind Source Separation Techniques (2 papers) and Analytical Chemistry and Sensors (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (492 citations), Cognitive Neuroscience (376 citations), Electrochemistry (41 citations), Electrical and Electronic Engineering (237 citations) and Bioengineering (21 citations). David Jäckel has collaborated with scholars based in Switzerland, Japan and Slovenia. Frequent co-authors include Andreas Hierlemann, Douglas J. Bakkum, Miloš Radivojević, Jan Müller, Urs Frey, Felix Franke, Michele Fiscella, Jelena Dragas, Vijay Viswam and Ian L. Jones. Their work appears in journals such as Frontiers in Neuroscience, Scientific Reports, IEEE Journal of Solid-State Circuits, Frontiers in Neuroinformatics and Archives of Toxicology.

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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