Michael S. Mohr

632 total citations
32 papers, 420 citations indexed

About

Michael S. Mohr is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Ecology. According to data from OpenAlex, Michael S. Mohr has authored 32 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Nature and Landscape Conservation, 14 papers in Global and Planetary Change and 6 papers in Ecology. Recurrent topics in Michael S. Mohr's work include Fish Ecology and Management Studies (20 papers), Marine and fisheries research (14 papers) and Water Quality and Resources Studies (3 papers). Michael S. Mohr is often cited by papers focused on Fish Ecology and Management Studies (20 papers), Marine and fisheries research (14 papers) and Water Quality and Resources Studies (3 papers). Michael S. Mohr collaborates with scholars based in United States and United Kingdom. Michael S. Mohr's co-authors include Michael R. O’Farrell, William H. Satterthwaite, David G. Hankin, Steven T. Lindley, Brian K. Wells, Masami Fujiwara, R. Bruce MacFarlane, Arliss J. Winship, James N. Ianelli and J. Scott Foott and has published in prestigious journals such as PLoS ONE, Biological Conservation and Oikos.

In The Last Decade

Michael S. Mohr

31 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael S. Mohr United States 11 304 246 188 52 45 32 420
Morten Falkegård Norway 9 307 1.0× 149 0.6× 195 1.0× 82 1.6× 61 1.4× 16 405
P. A. Frear United Kingdom 13 424 1.4× 156 0.6× 329 1.8× 29 0.6× 219 4.9× 14 545
Gene M. Matthews United States 12 327 1.1× 80 0.3× 197 1.0× 19 0.4× 71 1.6× 21 358
Joseph A. Orsi United States 12 376 1.2× 358 1.5× 200 1.1× 40 0.8× 44 1.0× 33 469
Colin Wallace Canada 18 565 1.9× 239 1.0× 243 1.3× 328 6.3× 56 1.2× 32 677
Shad Mahlum Norway 9 228 0.8× 114 0.5× 199 1.1× 14 0.3× 47 1.0× 18 317
D. Robichaud Canada 13 360 1.2× 355 1.4× 281 1.5× 21 0.4× 52 1.2× 14 471
Timothy A. Whitesel United States 12 284 0.9× 77 0.3× 183 1.0× 48 0.9× 78 1.7× 41 328
Brian Dempson Canada 10 267 0.9× 91 0.4× 178 0.9× 115 2.2× 99 2.2× 14 390
Rolf Sivertsgård Norway 10 292 1.0× 171 0.7× 317 1.7× 12 0.2× 87 1.9× 16 432

Countries citing papers authored by Michael S. Mohr

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Mohr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Mohr. 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 Michael S. Mohr. The network helps show where Michael S. Mohr may publish in the future.

Co-authorship network of co-authors of Michael S. Mohr

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Mohr. A scholar is included among the top collaborators of Michael S. Mohr 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 Michael S. Mohr. Michael S. Mohr 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.
O’Farrell, Michael R., Sean Gallagher, Eric R. Larson, et al.. (2015). California coastal chinook salmon fishery management : future prospects. 3 indexed citations
2.
Winship, Arliss J., Michael R. O’Farrell, William H. Satterthwaite, Brian K. Wells, & Michael S. Mohr. (2015). Expected future performance of salmon abundance forecast models with varying complexity. Canadian Journal of Fisheries and Aquatic Sciences. 72(4). 557–569. 16 indexed citations
3.
Satterthwaite, William H., Javier Ciancio, Eric D. Crandall, et al.. (2015). Stock composition and ocean spatial distribution inference from California recreational Chinook salmon fisheries using genetic stock identification. Fisheries Research. 170. 166–178. 36 indexed citations
4.
Mohr, Michael S. & Michael R. O’Farrell. (2014). The Sacramento harvest model (SHM). 2 indexed citations
5.
6.
Winship, Arliss J., Michael R. O’Farrell, & Michael S. Mohr. (2014). Fishery and Hatchery Effects on an Endangered Salmon Population with Low Productivity. Transactions of the American Fisheries Society. 143(4). 957–971. 9 indexed citations
7.
Mohr, Michael S., et al.. (2013). Coded-Wire Tag Expansion Factors for Chinook Salmon Carcass Surveys in California: Estimating the Numbers and Proportions of Hatchery-Origin Fish. San Francisco Estuary and Watershed Science. 11(4). 5 indexed citations
8.
Satterthwaite, William H., Michael R. O’Farrell, & Michael S. Mohr. (2013). Klamath-Trinity basin fall run Chinook salmon scale age analysis evaluation. 1 indexed citations
9.
O’Farrell, Michael R., et al.. (2013). Sacramento River Winter Chinook Cohort Reconstruction: Analysis of Ocean Fishery Impacts. 15 indexed citations
10.
O’Farrell, Michael R., et al.. (2013). The sacramento index (SI). 8 indexed citations
11.
Satterthwaite, William H., Michael S. Mohr, Michael R. O’Farrell, & Brian K. Wells. (2013). A comparison of temporal patterns in the ocean spatial distribution of California's Central Valley Chinook salmon runs. Canadian Journal of Fisheries and Aquatic Sciences. 70(4). 574–584. 28 indexed citations
12.
Satterthwaite, William H., et al.. (2013). Sample size recommendations for estimating stock composition using genetic stock identification (GSI). 2 indexed citations
13.
Satterthwaite, William H., Michael S. Mohr, Michael R. O’Farrell, & Brian K. Wells. (2012). A Bayesian hierarchical model of size-at-age in ocean-harvested stocks — quantifying effects of climate and temporal variability. Canadian Journal of Fisheries and Aquatic Sciences. 69(5). 942–954. 15 indexed citations
14.
O’Farrell, Michael R., et al.. (2012). The winter-run harvest model (WRHM). 3 indexed citations
15.
Fujiwara, Masami, et al.. (2011). Effects of Ceratomyxosis on Population Dynamics of Klamath Fall‐Run Chinook Salmon. Transactions of the American Fisheries Society. 140(5). 1380–1391. 38 indexed citations
16.
Fujiwara, Masami & Michael S. Mohr. (2009). Identifying environmental signals from population abundance data using multivariate time‐series analysis. Oikos. 118(11). 1712–1720. 9 indexed citations
17.
Hankin, David G., et al.. (2009). Estimating the proportions of closely related species: Performance of the two-phase ratio estimator. Journal of Agricultural Biological and Environmental Statistics. 14(1). 15–32. 1 indexed citations
18.
MacFarlane, R. Bruce, et al.. (2001). Lipid class dynamics during development in early life stages of shortbelly rockfish and their application to condition assessment. Journal of Fish Biology. 58(4). 1010–1024. 38 indexed citations
19.
Hankin, David G., et al.. (1989). Growth and reproductive dynamics of adult female Dungeness crabs (Cancer magister) in northern California. ICES Journal of Marine Science. 46(1). 94–108. 38 indexed citations
20.
Mohr, Michael S., et al.. (1970). Relationships between Metrics-index and Lean-body-corpulence-index as a function of age. Zeitschrift für Morphologie und Anthropologie. 62(3). 237–248. 1 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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