Sam Subbey

964 total citations
46 papers, 709 citations indexed

About

Sam Subbey is a scholar working on Global and Planetary Change, Ocean Engineering and Nature and Landscape Conservation. According to data from OpenAlex, Sam Subbey has authored 46 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Global and Planetary Change, 16 papers in Ocean Engineering and 15 papers in Nature and Landscape Conservation. Recurrent topics in Sam Subbey's work include Marine and fisheries research (25 papers), Reservoir Engineering and Simulation Methods (16 papers) and Fish Ecology and Management Studies (15 papers). Sam Subbey is often cited by papers focused on Marine and fisheries research (25 papers), Reservoir Engineering and Simulation Methods (16 papers) and Fish Ecology and Management Studies (15 papers). Sam Subbey collaborates with scholars based in Norway, United Kingdom and Australia. Sam Subbey's co-authors include Malcolm Sambridge, Mike Christie, Richard D.M. Nash, Jennifer A. Devine, Michael Christie, Colin MacBeth, Kathrine Michalsen, Benjamin Planque, Ulf Lindstrøm and Gillian Elizabeth Pickup and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Theoretical Biology.

In The Last Decade

Sam Subbey

42 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sam Subbey Norway	14	348	225	219	176	174	46	709
David J. Sterling Australia	14	355 1.0×	70 0.3×	255 1.2×	111 0.6×	9 0.1×	40	495
Masayuki Fujihara Japan	15	147 0.4×	63 0.3×	63 0.3×	78 0.4×	8 0.0×	94	635
Michael D. Taylor Australia	13	401 1.2×	266 1.2×	112 0.5×	268 1.5×	11 0.1×	34	727
Antoine Carlier France	17	401 1.2×	48 0.2×	95 0.4×	575 3.3×	7 0.0×	27	984
Jing Qian China	14	174 0.5×	19 0.1×	28 0.1×	119 0.7×	10 0.1×	49	543
Cong Xu China	13	196 0.6×	26 0.1×	70 0.3×	227 1.3×	83 0.5×	42	607
Jinlong Huang China	9	674 1.9×	40 0.2×	31 0.1×	59 0.3×	34 0.2×	20	897
James J. Waggitt United Kingdom	15	245 0.7×	57 0.3×	157 0.7×	446 2.5×	4 0.0×	41	646
Frederick H. Armstrong United Kingdom	12	257 0.7×	121 0.5×	112 0.5×	331 1.9×	8 0.0×	25	664
Alf Harbitz Norway	14	288 0.8×	6 0.0×	232 1.1×	172 1.0×	8 0.0×	33	693

Countries citing papers authored by Sam Subbey

Since Specialization

Citations

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

Fields of papers citing papers by Sam Subbey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Subbey

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Subbey. A scholar is included among the top collaborators of Sam Subbey 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 Sam Subbey. Sam Subbey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Subbey, Sam, et al.. (2025). A machine learning framework for modeling Barents Sea Capelin spawning migration. Reviews in Fish Biology and Fisheries. 35(4). 2155–2173.

Bogstad, Bjarte, et al.. (2025). A functional response model fit to empirical consumption data. Reviews in Fish Biology and Fisheries. 36(1).

Subbey, Sam, et al.. (2021). Population dynamic regulators in an empirical predator-prey system. Journal of Theoretical Biology. 527. 110814–110814. 10 indexed citations

Subbey, Sam, et al.. (2021). Spatial and temporal patterns of capelin (Mallotus villosus) spawning sites in the Barents Sea. Fisheries Research. 244. 106117–106117. 6 indexed citations

Aldrin, Magne, et al.. (2021). Caveats with estimating natural mortality rates in stock assessment models using age aggregated catch data and abundance indices. Fisheries Research. 243. 106071–106071. 7 indexed citations

Subbey, Sam, et al.. (2020). A logistic function to track time-dependent fish population dynamics. Fisheries Research. 236. 105840–105840. 7 indexed citations

Haltuch, Melissa A., Elizabeth N. Brooks, Jon Brodziak, et al.. (2019). Unraveling the recruitment problem: A review of environmentally-informed forecasting and management strategy evaluation. Fisheries Research. 217. 198–216. 60 indexed citations

Solvang, Hiroko Kato & Sam Subbey. (2019). An improved methodology for quantifying causality in complex ecological systems. PLoS ONE. 14(1). e0208078–e0208078. 4 indexed citations

Steihaug, Trond, et al.. (2017). A parametrized stock-recruitment relationship derived from a slow-fast population dynamic model. Mathematics and Computers in Simulation. 145. 171–185.

10.

Subbey, Sam, Benjamin Planque, & Ulf Lindstrøm. (2016). Exploring stochasticity and imprecise knowledge based on linear inequality constraints. Journal of Mathematical Biology. 73(3). 575–595. 3 indexed citations

11.

Dalpadado, Padmini, Kenneth F. Drinkwater, Olav Rune Godø, et al.. (2014). Krill, climate, and contrasting future scenarios for Arctic and Antarctic fisheries. ICES Journal of Marine Science. 71(7). 1934–1955. 85 indexed citations

12.

Planque, Benjamin, Ulf Lindstrøm, & Sam Subbey. (2014). Non-Deterministic Modelling of Food-Web Dynamics. PLoS ONE. 9(10). e108243–e108243. 18 indexed citations

13.

Michalsen, Kathrine, Torild Johansen, Sam Subbey, & Alexander Beck. (2014). Linking tagging technology and molecular genetics to gain insight in the spatial dynamics of two stocks of cod in Northeast Atlantic waters. ICES Journal of Marine Science. 71(6). 1417–1432. 26 indexed citations

14.

Subbey, Sam, et al.. (2007). A tool for analyzing information from data storage tags: the continuous wavelet transform (CWT). Reviews in Fish Biology and Fisheries. 18(3). 301–312. 14 indexed citations

15.

Pickup, Gillian Elizabeth, et al.. (2006). Quantification of Uncertainty in Coarse-Scale Relative Permeabilities Due to Sub-Grid Heterogeneity. 2 indexed citations

16.

Subbey, Sam, et al.. (2006). Quantifying Uncertainty in Flow Functions Derived from SCAL Data. Transport in Porous Media. 65(2). 265–286. 11 indexed citations

17.

Pickup, Gillian Elizabeth, et al.. (2005). Quantification of Uncertainty in Relative Permeability for Coarse-Scale Reservoir Simulation (SPE94140). 16 indexed citations

18.

Pickup, Gillian Elizabeth, et al.. (2005). Quantification of Uncertainty in Relative Permeability for Coarse-Scale Reservoir Simulation. All Days. 14 indexed citations

19.

Subbey, Sam, Michael Christie, & Malcolm Sambridge. (2004). Prediction under uncertainty in reservoir modeling. Journal of Petroleum Science and Engineering. 44(1-2). 143–153. 52 indexed citations

20.

Christie, Mike, Colin MacBeth, & Sam Subbey. (2002). Multiple history-matched models for Teal South. The Leading Edge. 21(3). 286–289. 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.

Explore authors with similar magnitude of impact