Daniel K. Freeman

1.8k citations
46 papers · 1.3k · h-index 19

Impact in

Papers in

Daniel K. Freeman

43 papers receiving 1.3k citations

Peers

Daniel K. Freeman
Comparison fields: 5 of 107
  • Cellular and Molecular Neuroscience 499
  • Cognitive Neuroscience 297
  • Neurology 97
  • Electrical and Electronic Engineering 451
  • Signal Processing 78
Replace Timothy J. Gardner with:
Timothy J. Gardner United States
David A. Borkholder United States
Weihua Pei China
Rikky Muller United States
Toshiaki Yamanaka Japan
Xiaoyang Kang China
Pedram Mohseni United States
Paul V. Watkins United States
Masayuki Hirata Japan
Tomomitsu Miyoshi Japan
Daniel K. Freeman relative to Timothy J. Gardner United States Timothy J. Gardner's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel K. Freeman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012155
2 2010130
3 2003129
4 2019114
5 200378
6 201173
7 201762
8 202059
9 201156
10 200544
11 201738
12 200736
13 200433
14 200827
15 201126
16 200824
17 201924
18 201924
19 201021
20 200919

About Daniel K. Freeman

Daniel K. Freeman is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering, Surfaces, Coatings and Films and Atomic and Molecular Physics, and Optics, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (10 papers), Photonic and Optical Devices (8 papers), Neural dynamics and brain function (6 papers), Photoreceptor and optogenetics research (6 papers), Advanced Memory and Neural Computing (5 papers), Photonic Crystals and Applications (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Energy Harvesting in Wireless Networks (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (499 citations), Cognitive Neuroscience (297 citations), Neurology (97 citations), Electrical and Electronic Engineering (451 citations) and Signal Processing (78 citations). Daniel K. Freeman has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Shelley I. Fried, Joseph F. Rizzo, Donald K. Eddington, Ferenc Andras Jolesz, Seung‐Schik Yoo, James J. McCarthy, Ronald S. McNabb, Paul A. S. Ward, Marc S. Weinberg and John T. Gale. Their work appears in journals such as Journal of Neural Engineering, Physica B Condensed Matter, Journal of Neurophysiology, Frontiers in Neuroscience and IEEE Transactions on Antennas and Propagation.

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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