Daniel Millard

1.6k citations
23 papers · 807 indexed · h-index 14

Daniel Millard

23 papers receiving 797 citations

Peers

Daniel Millard
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 518
  • Cognitive Neuroscience 298
  • Cardiology and Cardiovascular Medicine 216
  • Sensory Systems 20
  • Biomedical Engineering 159
Replace Kristoffer Famm with:
Kristoffer Famm United Kingdom
Jose L. Sanchez‐Alonso United Kingdom
E. Etienne Verheijck Netherlands
S. Sh. Rapoport Israel
Elena G. Tolkacheva United States
Ziv Gil Israel
Thomas Beiert Germany
Francis L. Burton United Kingdom
Ingo Schießl United Kingdom
Thomas Desplantez Switzerland
Daniel Millard relative to Kristoffer Famm United Kingdom Kristoffer Famm's profile →
Citations per field
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Kristoffer Famm · 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-authorship network

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
#Work
1 20211
2 201960
3 20181
4 201891
5 20171
6 201722
7 2016193
8 20168
9 201627
10 201612
11 201611
12 201519
13 201578
14 201471
15 201447
16 201329
17 201329
18 201237
19 201236
20 20113

About Daniel Millard

Daniel Millard is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrochemistry, Cardiology and Cardiovascular Medicine and Surfaces, Coatings and Films, having authored 23 papers that have together received 807 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (14 papers), Neural dynamics and brain function (12 papers), Photoreceptor and optogenetics research (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), EEG and Brain-Computer Interfaces (3 papers), Advanced Memory and Neural Computing (3 papers), 3D Printing in Biomedical Research (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (518 citations), Cognitive Neuroscience (298 citations), Cardiology and Cardiovascular Medicine (216 citations), Sensory Systems (20 citations) and Biomedical Engineering (159 citations). Daniel Millard has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Garrett B. Stanley, Douglas R. Ollerenshaw, Qi Wang, Clarissa J. Whitmire, Qi Wang, Jonathan Ross, Stacie Chvatal, David G. Strauss, Steve M. Potter and Mathew Brock. Their work appears in journals such as Toxicological Sciences, Journal of Neurophysiology, Cancer Research, Journal of Neural Engineering and Scientific Reports.

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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