Daniel Gardner

1.3k citations
30 papers · 827 · h-index 14

Impact in

Papers in

Daniel Gardner

30 papers receiving 750 citations

Peers

Daniel Gardner
Comparison fields: 5 of 95
  • Cellular and Molecular Neuroscience 545
  • Cognitive Neuroscience 332
  • Sensory Systems 36
  • Information Systems and Management 43
  • Biophysics 28
Replace David M. Senseman with:
David M. Senseman United States
Christophe Pouzat France
Eilif Müller Switzerland
Cyrille Rossant United Kingdom
Stephan Gerhard Switzerland
Matthias H. Hennig United Kingdom
Miyoung Chun United States
Joël Tabak United States
Kristofer E. Bouchard United States
Juan Carlos Letelier Chile
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Citations per field
00.5×10.8×
David M. Senseman · 1×
Citations per year

Countries citing papers authored by Daniel Gardner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gardner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Daniel Gardner, 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 Gardner Line = papers co-authored together Daniel Gardner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971188
2 197786
3 197774
4 200367
5 197267
6 198044
7 200943
8 200139
9 198022
10
The synaptic actions mediated by the different branches of a single neuron.
197222
11 199120
12 197716
13 200414
14 200414
15 198013
16 200113
17 200812
18 200612
19 198611
20 19909

About Daniel Gardner

Daniel Gardner is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Artificial Intelligence, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 30 papers that have together received 827 indexed citations. Recurring topics across this work include Neural dynamics and brain function (15 papers), Neurobiology and Insect Physiology Research (12 papers), Photoreceptor and optogenetics research (9 papers), Neuroscience and Neural Engineering (8 papers), EEG and Brain-Computer Interfaces (4 papers), Plant and Biological Electrophysiology Studies (2 papers), Semantic Web and Ontologies (2 papers) and Cephalopods and Marine Biology (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (545 citations), Cognitive Neuroscience (332 citations), Sensory Systems (36 citations), Information Systems and Management (43 citations) and Biophysics (28 citations). Daniel Gardner has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Eric R. Kandel, Charles F. Stevens, Esther P. Gardner, David H. Goldberg, Jonathan D. Victor, Giorgio A. Ascoli, Anders M. Dale, ER Kandel, James F. Brinkley and Arthur W. Toga. Their work appears in journals such as Journal of Neurophysiology, Neuroinformatics, The Journal of Physiology, Brain Research and Science.

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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