John Sibert

6.3k total citations · 1 hit paper
55 papers, 4.8k citations indexed

About

John Sibert is a scholar working on Global and Planetary Change, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, John Sibert has authored 55 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Global and Planetary Change, 24 papers in Ecology and 21 papers in Nature and Landscape Conservation. Recurrent topics in John Sibert's work include Marine and fisheries research (37 papers), Fish Ecology and Management Studies (20 papers) and Marine Bivalve and Aquaculture Studies (16 papers). John Sibert is often cited by papers focused on Marine and fisheries research (37 papers), Fish Ecology and Management Studies (20 papers) and Marine Bivalve and Aquaculture Studies (16 papers). John Sibert collaborates with scholars based in United States, New Caledonia and Canada. John Sibert's co-authors include John Hampton, Anders Nielsen, Mark N. Maunder, David Fournier, Árni Magnússon, James N. Ianelli, Hans J. Skaug, D. Fournier, Pierre Kleiber and Richard W. Brill and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

John Sibert

53 papers receiving 4.4k citations

Hit Papers

AD Model Builder: using automatic differentiation for sta... 2011 2026 2016 2021 2011 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Sibert United States 28 3.0k 2.3k 2.2k 528 496 55 4.8k
James N. Ianelli United States 31 2.6k 0.9× 1.6k 0.7× 1.7k 0.8× 448 0.8× 449 0.9× 99 3.9k
Todd A. Crowl United States 34 907 0.3× 3.2k 1.4× 2.8k 1.2× 290 0.5× 671 1.4× 82 4.8k
Russell B. Millar New Zealand 35 3.5k 1.2× 2.1k 0.9× 2.6k 1.2× 350 0.7× 271 0.5× 160 5.1k
M. Julian Caley Australia 41 2.8k 0.9× 4.1k 1.8× 1.6k 0.7× 1.6k 3.1× 806 1.6× 122 6.0k
Hans J. Skaug Norway 25 1.6k 0.5× 1.7k 0.7× 1.5k 0.7× 291 0.6× 522 1.1× 80 4.2k
Mark N. Maunder United States 41 5.4k 1.8× 3.1k 1.3× 4.3k 1.9× 297 0.6× 836 1.7× 153 7.9k
David Fournier Germany 23 1.6k 0.5× 1.2k 0.5× 1.4k 0.6× 182 0.3× 469 0.9× 31 3.5k
Brian R. MacKenzie Denmark 45 4.0k 1.4× 2.4k 1.0× 2.2k 1.0× 1.6k 3.1× 222 0.4× 165 6.2k
Frederick G. Whoriskey Canada 33 2.0k 0.7× 2.9k 1.3× 3.1k 1.4× 373 0.7× 421 0.8× 126 4.7k
K. P. Burnham United States 13 1.2k 0.4× 4.9k 2.1× 1.9k 0.8× 301 0.6× 696 1.4× 23 5.9k

Countries citing papers authored by John Sibert

Since Specialization
Citations

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

Fields of papers citing papers by John Sibert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Sibert

This figure shows the co-authorship network connecting the top 25 collaborators of John Sibert. A scholar is included among the top collaborators of John Sibert 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 John Sibert. John Sibert 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.
Senina, Inna, Patrick Lehodey, John Hampton, & John Sibert. (2019). Quantitative modelling of the spatial dynamics of South Pacific and Atlantic albacore tuna populations. Deep Sea Research Part II Topical Studies in Oceanography. 175. 104667–104667. 11 indexed citations
2.
Sibert, John, Inna Senina, Patrick Lehodey, & John Hampton. (2012). Shifting from marine reserves to maritime zoning for conservation of Pacific bigeye tuna ( Thunnus obesus ). Proceedings of the National Academy of Sciences. 109(44). 18221–18225. 57 indexed citations
3.
Fournier, David, Hans J. Skaug, James N. Ianelli, et al.. (2011). AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models. Optimization methods & software. 27(2). 233–249. 1473 indexed citations breakdown →
4.
Lehodey, Patrick, Inna Senina, John Sibert, et al.. (2010). Preliminary forecasts of Pacific bigeye tuna population trends under the A2 IPCC scenario. Progress In Oceanography. 86(1-2). 302–315. 95 indexed citations
5.
Nielsen, Jennifer L., et al.. (2009). Tagging and Tracking of Marine Animals with Electronic Devices. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 167 indexed citations
6.
Evans, Karen, Adam Langley, Naomi Clear, et al.. (2008). Behaviour and habitat preferences of bigeye tuna (Thunnus obesus) and their influence on longline fishery catches in the western Coral Sea. Canadian Journal of Fisheries and Aquatic Sciences. 65(11). 2427–2443. 62 indexed citations
7.
Sibert, John & John Hampton. (2002). Mobility of tropical tunas and the implications for fisheries management. Marine Policy. 27(1). 87–95. 82 indexed citations
9.
Holland, Kim N., et al.. (2001). Tagging Techniques Can Elucidate the Biology and Exploitation of Aggregated Pelagic Species. 5 indexed citations
11.
Hampton, John, et al.. (1998). MULTIFAN-CL: a length-based, age-structured model for fisheries stock assessment, with application to South Pacific albacore, <i>Thunnus alalunga</i>. Canadian Journal of Fisheries and Aquatic Sciences. 55(9). 2105–2116. 11 indexed citations
12.
Fournier, D., John Hampton, & John Sibert. (1998). MULTIFAN-CL: a length-based, age-structured model for fisheries stock assessment, with application to South Pacific albacore, Thunnus alalunga. Canadian Journal of Fisheries and Aquatic Sciences. 55(9). 2105–2116. 286 indexed citations
13.
Holland, Kim N., et al.. (1992). Physiological and behavioural thermoregulation in bigeye tuna (Thunnus obesus). Nature. 358(6385). 410–412. 204 indexed citations
14.
Fournier, David, et al.. (1991). Analysis of Length Frequency Samples with Relative Abundance Data for the Gulf of Maine Northern Shrimp (Pandalus borealis) by the MULTIFAN Method. Canadian Journal of Fisheries and Aquatic Sciences. 48(4). 591–598. 35 indexed citations
15.
Hilborn, Ray & John Sibert. (1988). Adaptive management of developing fisheries. Marine Policy. 12(2). 112–121. 49 indexed citations
16.
Hilborn, Ray & John Sibert. (1988). Is international management of tuna necessary?. Marine Policy. 12(1). 31–39. 20 indexed citations
18.
Schnute, Jon T. & John Sibert. (1983). The Salmon Terminal Fishery: a Practical, Comprehensive Timing Model. Canadian Journal of Fisheries and Aquatic Sciences. 40(7). 835–853. 14 indexed citations
19.
Naiman, Robert J. & John Sibert. (1978). Transport of nutrients and carbon from the Nanaimo River to its estuary 1. Limnology and Oceanography. 23(6). 1183–1193. 56 indexed citations
20.
Sibert, John, et al.. (1977). Food of Some Benthic Harpacticoid Copepods. Journal of the Fisheries Research Board of Canada. 34(7). 1028–1031. 44 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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