Colin Millar

975 total citations
25 papers, 730 citations indexed

About

Colin Millar is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Ecology. According to data from OpenAlex, Colin Millar has authored 25 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Nature and Landscape Conservation, 16 papers in Global and Planetary Change and 7 papers in Ecology. Recurrent topics in Colin Millar's work include Marine and fisheries research (16 papers), Fish Ecology and Management Studies (15 papers) and Marine Bivalve and Aquaculture Studies (11 papers). Colin Millar is often cited by papers focused on Marine and fisheries research (16 papers), Fish Ecology and Management Studies (15 papers) and Marine Bivalve and Aquaculture Studies (11 papers). Colin Millar collaborates with scholars based in United Kingdom, Italy and Denmark. Colin Millar's co-authors include I. A. Malcolm, David M. Hannah, Robert J. Fryer, Faye L. Jackson, R. J. Fryer, Peter J. Wright, Giacomo Chato Osio, Alessandro Orio, I. M. Davies and Alain F. Zuur and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Ecological Indicators.

In The Last Decade

Colin Millar

24 papers receiving 709 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Colin Millar United Kingdom 17 423 394 346 173 74 25 730
NA Rivers-Moore South Africa 16 158 0.4× 530 1.3× 568 1.6× 201 1.2× 83 1.1× 61 820
Sayre Hodgson United States 11 322 0.8× 517 1.3× 327 0.9× 96 0.6× 74 1.0× 15 621
Robert J. Fryer United Kingdom 13 569 1.3× 558 1.4× 334 1.0× 149 0.9× 166 2.2× 21 858
Kenneth F. Tiffan United States 17 219 0.5× 752 1.9× 525 1.5× 269 1.6× 140 1.9× 56 835
Kim K. Jones United States 15 350 0.8× 463 1.2× 428 1.2× 100 0.6× 57 0.8× 26 669
Katie Barnas United States 11 165 0.4× 455 1.2× 476 1.4× 98 0.6× 54 0.7× 15 703
Aaron S. Ruesch United States 8 209 0.5× 433 1.1× 421 1.2× 213 1.2× 22 0.3× 8 737
Danny C. Lee United States 14 302 0.7× 497 1.3× 539 1.6× 114 0.7× 93 1.3× 29 812
Géraldine Lassalle France 20 667 1.6× 397 1.0× 666 1.9× 45 0.3× 97 1.3× 42 1.1k
Timothy F. Sheehan United States 20 537 1.3× 862 2.2× 478 1.4× 96 0.6× 157 2.1× 55 1.0k

Countries citing papers authored by Colin Millar

Since Specialization
Citations

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

Fields of papers citing papers by Colin Millar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colin Millar. 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 Colin Millar. The network helps show where Colin Millar may publish in the future.

Co-authorship network of co-authors of Colin Millar

This figure shows the co-authorship network connecting the top 25 collaborators of Colin Millar. A scholar is included among the top collaborators of Colin Millar 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 Colin Millar. Colin Millar 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.
Jardim, Ernesto, Manuela Azevedo, Jon Brodziak, et al.. (2021). Operationalizing ensemble models for scientific advice to fisheries management. ICES Journal of Marine Science. 78(4). 1209–1216. 18 indexed citations
2.
Baudron, Alan, Thomas Brunel, Marie‐Anne Blanchet, et al.. (2020). Changing fish distributions challenge the effective management of European fisheries. Ecography. 43(4). 494–505. 81 indexed citations
3.
Baudron, Alan, Thomas Brunel, Marie‐Anne Blanchet, et al.. (2020). Changing fish distributions challenge the effective management of European fisheries. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
4.
5.
Malcolm, I. A., K. J. Millidine, Ross Glover, et al.. (2018). Development of a large-scale juvenile density model to inform the assessment and management of Atlantic salmon (Salmo salar) populations in Scotland. Ecological Indicators. 96. 303–316. 10 indexed citations
6.
Jackson, Faye L., Robert J. Fryer, David M. Hannah, Colin Millar, & I. A. Malcolm. (2017). A spatio-temporal statistical model of maximum daily river temperatures to inform the management of Scotland's Atlantic salmon rivers under climate change. The Science of The Total Environment. 612. 1543–1558. 106 indexed citations
7.
Finlay, Scott, Ernesto Jardim, Colin Millar, & Santiago Cerviño. (2016). An Applied Framework for Incorporating Multiple Sources of Uncertainty in Fisheries Stock Assessments. PLoS ONE. 11(5). e0154922–e0154922. 15 indexed citations
8.
Millar, Colin, Robert J. Fryer, K. J. Millidine, & I. A. Malcolm. (2016). Modelling capture probability of Atlantic salmon (Salmo salar) from a diverse national electrofishing dataset: Implications for the estimation of abundance. Fisheries Research. 177. 1–12. 26 indexed citations
9.
Jackson, Faye L., David M. Hannah, R. J. Fryer, Colin Millar, & I. A. Malcolm. (2016). Development of spatial regression models for predicting summer river temperatures from landscape characteristics: Implications for land and fisheries management. Hydrological Processes. 31(6). 1225–1238. 51 indexed citations
10.
Rindorf, Anna, Massimiliano Cardinale, Samuel Shephard, et al.. (2016). Fishing for MSY: using “pretty good yield” ranges without impairing recruitment. ICES Journal of Marine Science. 74(2). 525–534. 27 indexed citations
11.
Osio, Giacomo Chato, Alessandro Orio, & Colin Millar. (2015). Assessing the vulnerability of Mediterranean demersal stocks and predicting exploitation status of un-assessed stocks. Fisheries Research. 171. 110–121. 42 indexed citations
12.
13.
Millar, Colin, et al.. (2014). Model averaging to streamline the stock assessment process. ICES Journal of Marine Science. 72(1). 93–98. 16 indexed citations
14.
Holmes, Steven J., Colin Millar, Robert J. Fryer, & Peter J. Wright. (2014). Gadoid dynamics: differing perceptions when contrasting stock vs. population trends and its implications to management. ICES Journal of Marine Science. 71(6). 1433–1442. 19 indexed citations
15.
Garner, Grace, I. A. Malcolm, Jon P. Sadler, Colin Millar, & David M. Hannah. (2014). Inter‐annual variability in the effects of riparian woodland on micro‐climate, energy exchanges and water temperature of an upland Scottish stream. Hydrological Processes. 29(6). 1080–1095. 43 indexed citations
16.
Jardim, Ernesto, Colin Millar, Iago Mosqueira, et al.. (2014). What if stock assessment is as simple as a linear model? The a4a initiative. ICES Journal of Marine Science. 72(1). 232–236. 25 indexed citations
17.
Wright, Peter J., et al.. (2013). Evidence for substock dynamics within whiting (Merlangius merlangus) management regions. ICES Journal of Marine Science. 70(6). 1118–1127. 5 indexed citations
18.
Munro, E S, Colin Millar, & T. S. Hastings. (2009). An analysis of levels of infectious pancreatic necrosis virus in Atlantic salmon, Salmo salar L., broodstock in Scotland between 1990–2002. Journal of Fish Diseases. 33(2). 171–177. 6 indexed citations
19.
20.
Millar, Colin, et al.. (2002). Further information on targeting in the south Pacific albacore fishery.

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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