Tim L. King

89 papers receiving 2.3k citations

Tim L. King's Hit Papers

CVC4 2011 · 465 citations
4650+5+10Years since publication100200300400

Peers

Tim L. King
Comparison fields: 5 of 102
  • Software 354
  • Nature and Landscape Conservation 900
  • Genetics 847
  • Ecology 814
  • Aquatic Science 196
Replace John S. Conery with:
John S. Conery United States
Christine Parent Switzerland
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Tim L. King relative to John S. Conery United States John S. Conery's profile →
Citations per field
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John S. Conery · 1×
Citations per year

Countries citing papers authored by Tim L. King

Since Specialization
Citations

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

Fields of papers citing papers by Tim L. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim L. King. 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 Tim L. King. The network helps show where Tim L. King may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CVC4
Hit paper breakdown →
2011465
2 2005136
3 1999114
4
Estimating black bear population density and genetic diversity at Tensas River, Louisiana using microsatellite DNA markers
200386
5 200572
6 201972
7 201171
8 200267
9 199651
10 200349
11 200248
12 201244
13 200643
14 200041
15 201039
16 200138
17 201434
18 199331
19 200031
20 200530

About Tim L. King

Tim L. King is a scholar working on Genetics, Nature and Landscape Conservation, Ecology, Molecular Biology and Computational Theory and Mathematics, having authored 89 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genetic diversity and population structure (44 papers), Fish Ecology and Management Studies (36 papers), Environmental DNA in Biodiversity Studies (20 papers), Genetic and phenotypic traits in livestock (14 papers), Formal Methods in Verification (13 papers), Logic, programming, and type systems (12 papers), Identification and Quantification in Food (9 papers) and Aquatic Invertebrate Ecology and Behavior (8 papers). The work is most often cited by research in Software (354 citations), Nature and Landscape Conservation (900 citations), Genetics (847 citations), Ecology (814 citations) and Aquatic Science (196 citations). Tim L. King has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Michael S. Eackles, Clark Barrett, Benjamin H. Letcher, Andrew Reynolds, Cesare Tinelli, Morgan Deters, Dejan Jovanović, Christopher L. Conway, Liana Hadarean and Adrian P. Spidle. Their work appears in journals such as Transactions of the American Fisheries Society, Molecular Ecology, Conservation Genetics, Canadian Journal of Fisheries and Aquatic Sciences and ACM SIGPLAN Notices.

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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