Kevin Mitchell

106 papers receiving 2.9k citations

Peers

Kevin Mitchell
Comparison fields: 5 of 154
  • Biochemistry 447
  • Insect Science 537
  • Statistical and Nonlinear Physics 388
  • Food Science 448
  • Plant Science 886
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Takashi Iwashita Japan
Jong-Dae Park South Korea
T. Fujita Japan
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Citations per field
00.5×6.2×
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Citations per year

Countries citing papers authored by Kevin Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996188
2 2003180
3 2002145
4 1998138
5 2000127
6 2002123
7 1998117
8 1998116
9 1997111
10 199999
11 201385
12 199975
13 200374
14 201573
15 201962
16 201855
17 200446
18 200344
19 200344
20
The characterisation of thrombus development in an improved model of arterio-venous shunt thrombosis in the rat and the effects of recombinant desulphatohirudin (CGP 39393), heparin, and iloprost.
199144

About Kevin Mitchell

Kevin Mitchell is a scholar working on Statistical and Nonlinear Physics, Molecular Biology, Atomic and Molecular Physics, and Optics, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 115 papers that have together received 3.1k indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (27 papers), Bee Products Chemical Analysis (9 papers), Mathematical Dynamics and Fractals (9 papers), Micro and Nano Robotics (9 papers), Nonlinear Dynamics and Pattern Formation (9 papers), Plant Diversity and Evolution (9 papers), Insect and Pesticide Research (7 papers) and Cold Atom Physics and Bose-Einstein Condensates (7 papers). The work is most often cited by research in Biochemistry (447 citations), Insect Science (537 citations), Statistical and Nonlinear Physics (388 citations), Food Science (448 citations) and Plant Science (886 citations). Kevin Mitchell has collaborated with scholars based in United States, New Zealand and Canada. Frequent co-authors include Kenneth R. Markham, Stephen J. Bloor, Owen J. Catchpole, María G. Campos, Ken G. Ryan, A. Proença da Cunha, J. B. Delos, Robert G. Littlejohn, Kevin S. Gould and P. V. Bolstad. Their work appears in journals such as Physical Review A, Phytochemistry, Chaos An Interdisciplinary Journal of Nonlinear Science, Physica D Nonlinear Phenomena and The Journal of Supercritical Fluids.

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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