Daniel J. Mitchell

5.2k citations
117 papers · 3.8k · h-index 38

Impact in

Papers in

Daniel J. Mitchell

113 papers receiving 3.6k citations

Peers

Daniel J. Mitchell
Comparison fields: 5 of 163
  • Statistical and Nonlinear Physics 852
  • Cognitive Neuroscience 1.1k
  • Atomic and Molecular Physics, and Optics 1.3k
  • Filtration and Separation 89
  • Physical and Theoretical Chemistry 318
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Bob Eisenberg United States
David Beeman United States
James A. Roberts United States
Robert Rein United States
Hiroshi Sekiya Japan
Emily B. Moore United States
J. R. Carl United States
Tôru Takahashi Japan
Gerhard Schwarz Germany
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Citations per field
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Citations per year

Countries citing papers authored by Daniel J. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989152
2 1991144
3 1986143
4 2015142
5 2018116
6 2007102
7 201699
8 199198
9 197897
10 198395
11 201593
12 199293
13 197489
14 199369
15 199466
16 202063
17 200962
18 201759
19 197559
20 197256

About Daniel J. Mitchell

Daniel J. Mitchell is a scholar working on Atomic and Molecular Physics, and Optics, Cognitive Neuroscience, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Experimental and Cognitive Psychology, having authored 117 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Fiber Laser Technologies (21 papers), Nonlinear Photonic Systems (20 papers), Neural and Behavioral Psychology Studies (20 papers), Functional Brain Connectivity Studies (20 papers), Neural dynamics and brain function (18 papers), Nonlinear Waves and Solitons (14 papers), Quantum Electrodynamics and Casimir Effect (14 papers) and Advanced Thermodynamics and Statistical Mechanics (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (852 citations), Cognitive Neuroscience (1.1k citations), Atomic and Molecular Physics, and Optics (1.3k citations), Filtration and Separation (89 citations) and Physical and Theoretical Chemistry (318 citations). Daniel J. Mitchell has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Allan W. Snyder, Barry W. Ninham, John Duncan, L. Poladian, Rhodri Cusack, Ben M. Crittenden, Peter Richmond, Ying Chen, C. Pask and François Ladouceur. Their work appears in journals such as Electronics Letters, Journal of Colloid and Interface Science, Journal of Neuroscience, Optics Letters and Cerebral Cortex.

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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