Dana H. Hanselman

1.1k total citations
37 papers, 551 citations indexed

About

Dana H. Hanselman is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Dana H. Hanselman has authored 37 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Global and Planetary Change, 20 papers in Nature and Landscape Conservation and 14 papers in Ecology. Recurrent topics in Dana H. Hanselman's work include Marine and fisheries research (34 papers), Fish Ecology and Management Studies (20 papers) and Marine Bivalve and Aquaculture Studies (8 papers). Dana H. Hanselman is often cited by papers focused on Marine and fisheries research (34 papers), Fish Ecology and Management Studies (20 papers) and Marine Bivalve and Aquaculture Studies (8 papers). Dana H. Hanselman collaborates with scholars based in United States, South Africa and Canada. Dana H. Hanselman's co-authors include Terrance J. Quinn, Jonathan Heifetz, Chris R. Lunsford, Aaron M. Berger, Amy M. Schueller, Jonathan J. Deroba, Daniel R. Goethel, Igor M. Belkin, James T. Thorson and Henning Winker and has published in prestigious journals such as Proceedings of the Royal Society B Biological Sciences, Geological Society of America Bulletin and Canadian Journal of Fisheries and Aquatic Sciences.

In The Last Decade

Dana H. Hanselman

37 papers receiving 532 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dana H. Hanselman United States 15 450 282 278 48 30 37 551
Sondre Aanes Norway 12 480 1.1× 298 1.1× 322 1.2× 85 1.8× 34 1.1× 28 695
Amy M. Schueller United States 15 503 1.1× 289 1.0× 350 1.3× 56 1.2× 61 2.0× 42 630
Peter Lewy Denmark 13 439 1.0× 172 0.6× 302 1.1× 40 0.8× 56 1.9× 20 510
Julian Ashford United States 15 357 0.8× 272 1.0× 185 0.7× 113 2.4× 22 0.7× 31 467
Chris R. Lunsford United States 12 302 0.7× 335 1.2× 209 0.8× 78 1.6× 27 0.9× 30 511
Stratis Gavaris Canada 8 405 0.9× 140 0.5× 270 1.0× 29 0.6× 60 2.0× 15 467
Nathan Taylor Canada 11 342 0.8× 215 0.8× 235 0.8× 24 0.5× 52 1.7× 23 460
Robyn E. Forrest Canada 12 597 1.3× 344 1.2× 368 1.3× 87 1.8× 87 2.9× 24 750
Kelli F. Johnson United States 14 629 1.4× 212 0.8× 430 1.5× 43 0.9× 71 2.4× 24 719
Christopher M. Legault United States 21 786 1.7× 395 1.4× 590 2.1× 62 1.3× 76 2.5× 60 970

Countries citing papers authored by Dana H. Hanselman

Since Specialization
Citations

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

Fields of papers citing papers by Dana H. Hanselman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana H. Hanselman. 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 Dana H. Hanselman. The network helps show where Dana H. Hanselman may publish in the future.

Co-authorship network of co-authors of Dana H. Hanselman

This figure shows the co-authorship network connecting the top 25 collaborators of Dana H. Hanselman. A scholar is included among the top collaborators of Dana H. Hanselman 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 Dana H. Hanselman. Dana H. Hanselman 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.
Cunningham, Curry J., Dana H. Hanselman, Kerim Aydin, et al.. (2023). Introducing the Ecosystem and Socioeconomic Profile, a Proving Ground for Next Generation Stock Assessments. Coastal Management. 51(5-6). 319–352. 6 indexed citations
2.
Schueller, Amy M., et al.. (2021). Finding the perfect mismatch: Evaluating misspecification of population structure within spatially explicit integrated population models. Fish and Fisheries. 23(2). 294–315. 9 indexed citations
3.
Hanselman, Dana H., et al.. (2021). Interdecadal change in growth of sablefish (Anoplopoma fimbria) in the northeast Pacific Ocean. AquaDocs (United Nations Educational, Scientific and Cultural Organization). 3 indexed citations
4.
Berger, Aaron M., et al.. (2020). Incoherent dimensionality in fisheries management: consequences of misaligned stock assessment and population boundaries. ICES Journal of Marine Science. 78(1). 155–171. 27 indexed citations
5.
6.
Kapur, Maia, Melissa A. Haltuch, Brendan Connors, et al.. (2019). Oceanographic features delineate growth zonation in Northeast Pacific sablefish. Fisheries Research. 222. 105414–105414. 13 indexed citations
7.
Goethel, Daniel R., et al.. (2019). Exploring the utility of different tag-recovery experimental designs for use in spatially explicit, tag-integrated stock assessment models. Fisheries Research. 219. 105320–105320. 10 indexed citations
8.
Goethel, Daniel R., et al.. (2019). Overcoming challenges of harvest quota allocation in spatially structured populations. Fisheries Research. 220. 105344–105344. 25 indexed citations
9.
Hanselman, Dana H., et al.. (2017). Assessment of the Rougheye and Blackspotted rockfish stock complex in the Gulf of Alaska. 2 indexed citations
10.
Hanselman, Dana H., et al.. (2016). Sablefish mortality associated with whale depredation in Alaska. ICES Journal of Marine Science. 74(5). 1382–1394. 22 indexed citations
11.
Hanselman, Dana H., et al.. (2013). Report to industry on the Alaska Sablefish Tag Program, 1972-2012. 9 indexed citations
12.
Hanselman, Dana H., et al.. (2012). Toward biophysical synergy: Investigating advection along the Polar Front to identify factors influencing Alaska sablefish recruitment. Deep Sea Research Part II Topical Studies in Oceanography. 107. 40–53. 31 indexed citations
13.
Hanselman, Dana H., et al.. (2012). Application of an acoustic–trawl survey design to improve estimates of rockfish biomass. AquaDocs (United Nations Educational, Scientific and Cultural Organization). 4 indexed citations
14.
Hanselman, Dana H., et al.. (2012). Statistical distribution of age readings of known-age sablefish (Anoplopoma fimbria). Fisheries Research. 131-133. 1–8. 6 indexed citations
15.
Spencer, Paul D., et al.. (2012). Simulation modeling of a trawl-acoustic survey design for patchily distributed species. Fisheries Research. 125-126. 289–299. 4 indexed citations
16.
Hanselman, Dana H., et al.. (2011). Determining effective sample size in integrated age-structured assessment models. ICES Journal of Marine Science. 69(2). 281–292. 25 indexed citations
17.
Sigler, Michael F., et al.. (2011). Sampling Efficiency of Longlines for Shortraker and Rougheye Rockfish Using Observations from a Manned Submersible. Marine and Coastal Fisheries. 3(1). 1–9. 5 indexed citations
18.
Hanselman, Dana H., et al.. (2007). Growth and Mortality of Rockfishes (Scorpaenidae) From Alaska Waters. 6 indexed citations
19.
Hanselman, Dana H., et al.. (2003). Applications in adaptive cluster sampling of Gulf of Alaska rockfish. AquaDocs (United Nations Educational, Scientific and Cultural Organization). 30 indexed citations
20.
Hanselman, Dana H., John R. Conolly, & John C. Horne. (1974). Carbonate Environments in the Wilhite Formation of Central Eastern Tennessee. Geological Society of America Bulletin. 85(1). 45–45. 6 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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