Daniel K. Kimura

1.3k total citations
40 papers, 1.1k citations indexed

About

Daniel K. Kimura is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Daniel K. Kimura has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Global and Planetary Change, 18 papers in Nature and Landscape Conservation and 11 papers in Ecology. Recurrent topics in Daniel K. Kimura's work include Marine and fisheries research (26 papers), Fish Ecology and Management Studies (17 papers) and Marine Bivalve and Aquaculture Studies (8 papers). Daniel K. Kimura is often cited by papers focused on Marine and fisheries research (26 papers), Fish Ecology and Management Studies (17 papers) and Marine Bivalve and Aquaculture Studies (8 papers). Daniel K. Kimura collaborates with scholars based in United States. Daniel K. Kimura's co-authors include Craig R. Kastelle, David A. Somerton, Mary Elizabeth Matta, Donald R. Gunderson, A. Nevissi, Sarah Gaichas, Jacob L. Gregg, Han-Lin Lai, Kim E. W. Shelden and Vidar G. Wespestad and has published in prestigious journals such as Biometrics, Systematic Biology and Canadian Journal of Fisheries and Aquatic Sciences.

In The Last Decade

Daniel K. Kimura

40 papers receiving 887 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel K. Kimura United States 20 870 617 375 216 50 40 1.1k
Michael Pennington Norway 14 761 0.9× 575 0.9× 312 0.8× 99 0.5× 98 2.0× 41 944
Michael H. Prager United States 18 943 1.1× 629 1.0× 380 1.0× 300 1.4× 60 1.2× 42 1.2k
Nancy C. H. Lo United States 16 827 1.0× 546 0.9× 391 1.0× 115 0.5× 118 2.4× 42 1.0k
G. A. Chouinard Canada 14 989 1.1× 675 1.1× 540 1.4× 247 1.1× 56 1.1× 19 1.2k
Juan L. Valero United States 15 846 1.0× 548 0.9× 442 1.2× 180 0.8× 91 1.8× 39 1.1k
Pierre Kleiber United States 16 1.2k 1.3× 753 1.2× 787 2.1× 189 0.9× 109 2.2× 29 1.5k
Kevin R. Piner United States 20 1.1k 1.3× 842 1.4× 442 1.2× 190 0.9× 37 0.7× 44 1.3k
Noel G. Cadigan Canada 16 867 1.0× 703 1.1× 319 0.9× 94 0.4× 55 1.1× 71 1.1k
Thomas E. Helser United States 20 810 0.9× 624 1.0× 481 1.3× 224 1.0× 61 1.2× 68 1.1k
David B. Sampson United States 16 727 0.8× 454 0.7× 362 1.0× 118 0.5× 70 1.4× 39 905

Countries citing papers authored by Daniel K. Kimura

Since Specialization
Citations

This map shows the geographic impact of Daniel K. Kimura'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. Kimura 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. Kimura more than expected).

Fields of papers citing papers by Daniel K. Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel K. Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel K. Kimura. A scholar is included among the top collaborators of Daniel K. Kimura based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel K. Kimura. Daniel K. Kimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Matta, Mary Elizabeth & Daniel K. Kimura. (2012). Age determination manual of the Alaska Fisheries Science Center Age and Growth Program. 30 indexed citations
2.
Kastelle, Craig R., et al.. (2008). Age validation of Dover sole (Microstomus pacificus)by means of bomb radiocarbon. 5 indexed citations
3.
Gregg, Jacob L., et al.. (2006). Improving the precision of otolith-based age estimates for Greenland halibut (Reinhardtius hippoglossoides) with preparation methods adapted for fragile sagittae. Fishery Bulletin. 104(4). 643–648. 17 indexed citations
4.
Kimura, Daniel K. & David A. Somerton. (2006). Review of Statistical Aspects of Survey Sampling for Marine Fisheries. Reviews in Fisheries Science. 14(3). 245–283. 85 indexed citations
5.
Kastelle, Craig R. & Daniel K. Kimura. (2006). Age validation of walleye pollock (Theragra chalcogramma) from the Gulf of Alaska using the disequilibrium of Pb-210 and Ra-226. ICES Journal of Marine Science. 63(8). 1520–1529. 15 indexed citations
6.
Kimura, Daniel K., et al.. (2005). Quality control of age data at the Alaska Fisheries Science Center. Marine and Freshwater Research. 56(5). 783–789. 41 indexed citations
7.
Kimura, Daniel K., et al.. (2005). Indirect validation of the age-reading method for Pacific cod (Gadus macrocephalus) using otoliths from marked and recaptured fish. AquaDocs (United Nations Educational, Scientific and Cultural Organization). 13 indexed citations
8.
Kastelle, Craig R., Kim E. W. Shelden, & Daniel K. Kimura. (2003). Age determination of mysticete whales using210Pb/226Ra disequilibria. Canadian Journal of Zoology. 81(1). 21–32. 5 indexed citations
9.
Kastelle, Craig R., et al.. (2000). Using 210Pb/226Ra disequilibrium to validate conventional ages in Scorpaenids (genera Sebastes and Sebastolobus). Fisheries Research. 46(1-3). 299–312. 29 indexed citations
10.
Kimura, Daniel K.. (2000). Using nonlinear functional relationship regression to fit fisheries models. Canadian Journal of Fisheries and Aquatic Sciences. 57(1). 160–170. 1 indexed citations
11.
Kimura, Daniel K.. (2000). Using nonlinear functional relationship regression to fit fisheries models. Canadian Journal of Fisheries and Aquatic Sciences. 57(1). 160–170. 7 indexed citations
12.
Kimura, Daniel K. & Craig R. Kastelle. (1995). Perspectives on the relationship between otolith growth and the conversion of isotope activity ratios to fish ages. Canadian Journal of Fisheries and Aquatic Sciences. 52(10). 2296–2303. 13 indexed citations
13.
Kastelle, Craig R., Daniel K. Kimura, A. Nevissi, & Donald R. Gunderson. (1993). Using Pb-210/Ra-226 disequilibria for sablefish, Anoplopoma fimbria, age validation. Fishery Bulletin. 92(1). 292–301. 29 indexed citations
14.
Kimura, Daniel K.. (1992). Symmetry and Scale Dependence in Functional Relationship Regression. Systematic Biology. 41(2). 233–233. 4 indexed citations
15.
Kimura, Daniel K.. (1990). Testing Nonlinear Regression Parameters under Heteroscedastic, Normally Distributed Errors. Biometrics. 46(3). 697–697. 19 indexed citations
16.
Kimura, Daniel K.. (1990). Approaches to Age-Structured Separable Sequential Population Analysis. Canadian Journal of Fisheries and Aquatic Sciences. 47(12). 2364–2374. 42 indexed citations
17.
Kimura, Daniel K.. (1988). Stock-recruitment curves as used in the stock-reduction analysis model. ICES Journal of Marine Science. 44(3). 253–258. 20 indexed citations
18.
Kimura, Daniel K.. (1988). Analyzing Relative Abundance Indices with Log-Linear Models. North American Journal of Fisheries Management. 8(2). 175–180. 19 indexed citations
19.
Walters, Gary E., et al.. (1987). CONDITION OF GROUNDFISH RESOURCES OF THE EASTERN BERING SEA AND ALEUTIAN ISLANDS REGION IN 1986. 6 indexed citations
20.
Kimura, Daniel K.. (1976). Estimating the Total Number of Marked Fish Present in a Catch. Transactions of the American Fisheries Society. 105(6). 664–668. 9 indexed citations

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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