Daniel Gardner

1.3k citations
34 papers · 1.1k · h-index 15

Impact in

Papers in

Daniel Gardner

34 papers receiving 989 citations

Peers

Daniel Gardner
Comparison fields: 5 of 82
  • Cellular and Molecular Neuroscience 530
  • Cognitive Neuroscience 297
  • Information Systems and Management 83
  • Information Systems 162
  • Molecular Biology 238
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Stephen Larson United States
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Thomas Wächtler Germany
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Citations per field
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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 16 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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971192
2 2008169
3 197788
4 197779
5 200374
6 197273
7 200156
8 198049
9 200944
10
The synaptic actions mediated by the different branches of a single neuron.
197229
11 198025
12 199119
13 200418
14 197717
15 200116
16 200815
17 200613
18 198012
19 200412
20 198411

About Daniel Gardner

Daniel Gardner is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Information Systems and Management, Information Systems and Artificial Intelligence, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (20 papers), Neural dynamics and brain function (9 papers), Research Data Management Practices (6 papers), Nicotinic Acetylcholine Receptors Study (4 papers), Scientific Computing and Data Management (4 papers), Undergraduate Neuroscience Education and Research (3 papers), Cognitive Computing and Networks (3 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (530 citations), Cognitive Neuroscience (297 citations), Information Systems and Management (83 citations), Information Systems (162 citations) and Molecular Biology (238 citations). Daniel Gardner has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Eric R. Kandel, Charles F. Stevens, Esther P. Gardner, Jonathan D. Victor, Giorgio A. Ascoli, James F. Brinkley, Arthur W. Toga, Anders Martin Dale, Kevin H. Knuth and Steven M. Erde. Their work appears in journals such as Journal of Neurophysiology, Neuroinformatics, The Journal of Physiology, Science and Brain Research.

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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