Daniel Millard

1.6k citations
24 papers · 829 · h-index 14

Impact in

Papers in

Daniel Millard

23 papers receiving 820 citations

Peers

Daniel Millard
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 479
  • Cognitive Neuroscience 266
  • Cardiology and Cardiovascular Medicine 212
  • Sensory Systems 20
  • Electrochemistry 22
Replace Jose L. Sanchez‐Alonso with:
Jose L. Sanchez‐Alonso United Kingdom
Kristoffer Famm United Kingdom
E. Etienne Verheijck Netherlands
S. Sh. Rapoport Israel
Francis L. Burton United Kingdom
Thomas Beiert Germany
Thomas Desplantez Switzerland
Ingo Schießl United Kingdom
Kenta Shimba Japan
Kenichi Sasaki Japan
Daniel Millard relative to Jose L. Sanchez‐Alonso United Kingdom Jose L. Sanchez‐Alonso's profile →
Citations per field
00.5×6.5×
Jose L. Sanchez‐Alonso · 1×
Citations per year

Countries citing papers authored by Daniel Millard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Millard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016199
2 201893
3 201581
4 201474
5 201963
6 201449
7 201237
8 201236
9 201329
10 201329
11 200828
12 201627
13 201723
14 201521
15 201612
16 201611
17 20168
18 20113
19 20202
20 20211

About Daniel Millard

Daniel Millard is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 24 papers that have together received 829 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (11 papers), Neural dynamics and brain function (9 papers), Cardiac electrophysiology and arrhythmias (5 papers), Photoreceptor and optogenetics research (4 papers), Advanced Memory and Neural Computing (3 papers), Cardiac pacing and defibrillation studies (2 papers), EEG and Brain-Computer Interfaces (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (479 citations), Cognitive Neuroscience (266 citations), Cardiology and Cardiovascular Medicine (212 citations), Sensory Systems (20 citations) and Electrochemistry (22 citations). Daniel Millard has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Garrett B. Stanley, Douglas R. Ollerenshaw, Qi Wang, Qi Wang, Clarissa J. Whitmire, Stacie Chvatal, Jonathan P. Newman, Ming‐fai Fong, Steve M. Potter and Ksenia Blinova. Their work appears in journals such as Journal of Neurophysiology, Toxicological Sciences, Journal of Neural Engineering, Cancer Research and Journal of Neuroscience.

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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