John C. Day

84 papers receiving 1.0k citations

Peers

John C. Day
Comparison fields: 5 of 148
  • Information Systems and Management 79
  • Insect Science 115
  • Management, Monitoring, Policy and Law 97
  • Global and Planetary Change 160
  • Public Administration 24
Replace Valerie A. Brown with:
Valerie A. Brown Australia
Michael P. Murray United States
Andreas König Germany
Robert A. Davis Australia
Carson Sievert United States
James J. Kennelly United States
Andrew James United Kingdom
Roger Atkinson United Kingdom
A. I. Pudovkin Russia
Robert H. Smith United Kingdom
John C. Day relative to Valerie A. Brown Australia Valerie A. Brown's profile →
Citations per field
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Citations per year

Countries citing papers authored by John C. Day

Since Specialization
Citations

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

Fields of papers citing papers by John C. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Day. 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 John C. Day. The network helps show where John C. Day may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004112
2 200280
3 200471
4 199766
5 200744
6 198444
7 201742
8 199738
9 201038
10 200733
11 199833
12 198330
13 200826
14 200425
15 200223
16 200823
17 200723
18 197022
19 201217
20 199215

About John C. Day

John C. Day is a scholar working on Molecular Biology, Control and Systems Engineering, Ecology, Evolution, Behavior and Systematics, Ecology and Management, Monitoring, Policy and Law, having authored 91 papers that have together received 1.1k indexed citations. Recurring topics across this work include bioluminescence and chemiluminescence research (13 papers), Systems Engineering Methodologies and Applications (9 papers), Neurobiology and Insect Physiology Research (7 papers), Research on Leishmaniasis Studies (5 papers), Environmental and Social Impact Assessments (5 papers), Coleoptera Taxonomy and Distribution (5 papers), Trypanosoma species research and implications (4 papers) and Flood Risk Assessment and Management (4 papers). The work is most often cited by research in Information Systems and Management (79 citations), Insect Science (115 citations), Management, Monitoring, Policy and Law (97 citations), Global and Planetary Change (160 citations) and Public Administration (24 citations). John C. Day has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Thomas Gunton, Mark Bailey, Craig Van Slyke, Laurence Tisi, Tim Goodall, A. A. de Souza, Clive R. Davies, Francis S. Bellezza, R.J. Post and Carlos Brisóla Marcondes. Their work appears in journals such as Agricultural Economics, Water Resources Research, Insect Molecular Biology, Zootaxa and Ecology and Evolution.

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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