Mark Pogson

1.2k total citations
33 papers, 713 citations indexed

About

Mark Pogson is a scholar working on Biomedical Engineering, Agronomy and Crop Science and Global and Planetary Change. According to data from OpenAlex, Mark Pogson has authored 33 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 8 papers in Agronomy and Crop Science and 6 papers in Global and Planetary Change. Recurrent topics in Mark Pogson's work include Bioenergy crop production and management (8 papers), Biofuel production and bioconversion (5 papers) and Energy and Environment Impacts (4 papers). Mark Pogson is often cited by papers focused on Bioenergy crop production and management (8 papers), Biofuel production and bioconversion (5 papers) and Energy and Environment Impacts (4 papers). Mark Pogson collaborates with scholars based in United Kingdom, Finland and Italy. Mark Pogson's co-authors include Pete Smith, Astley Hastings, Mike Holcombe, R. H. Smallwood, Eva E. Qwarnström, Jo Smith, Andrea Santangeli, Atte Moilanen, Tuuli Toivonen and Paulo Lisböa and has published in prestigious journals such as PLoS ONE, The FASEB Journal and The Journal of the Acoustical Society of America.

In The Last Decade

Mark Pogson

31 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Pogson United Kingdom	15	166	114	103	96	91	33	713
Tom Jovanovic Australia	20	90 0.5×	130 1.1×	105 1.0×	322 3.4×	33 0.4×	41	947
Gayathri Gopalakrishnan United States	12	154 0.9×	191 1.7×	43 0.4×	80 0.8×	52 0.6×	23	604
Bent Ole Gram Mortensen Denmark	9	41 0.2×	34 0.3×	106 1.0×	43 0.4×	28 0.3×	40	1.1k
Fábio Sartori Italy	12	86 0.5×	143 1.3×	26 0.3×	97 1.0×	27 0.3×	53	727
Zhiyuan Zhao China	16	58 0.3×	88 0.8×	184 1.8×	85 0.9×	108 1.2×	34	1.1k
Lei Lei China	27	145 0.9×	59 0.5×	620 6.0×	147 1.5×	64 0.7×	107	2.2k
Jessica Veenstra United States	9	65 0.4×	64 0.6×	47 0.5×	78 0.8×	44 0.5×	15	967
Thomas Buchholz United States	13	170 1.0×	142 1.2×	44 0.4×	302 3.1×	153 1.7×	32	950
Peiran Li China	14	27 0.2×	65 0.6×	40 0.4×	97 1.0×	72 0.8×	53	683

Countries citing papers authored by Mark Pogson

Since Specialization

Citations

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

Fields of papers citing papers by Mark Pogson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Pogson

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

All Works

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20 of 20 papers shown

Pogson, Mark, et al.. (2024). A stochastic model for topographically influenced cell migration. Journal of Theoretical Biology. 581. 111745–111745. 1 indexed citations

Pogson, Mark & Tom Nicholls. (2024). Agent-based modeling of diversity, new information and minority groups in opinion formation. HOPE (Hauptbibliothek Open Publishing Environment) (University of Zurich). 6(1). 1–1.

Pogson, Mark, Juliette A. Strauss, Ivo Siekmann, et al.. (2023). People with obesity exhibit losses in muscle proteostasis that are partly improved by exercise training. PROTEOMICS. 24(14). e2300395–e2300395. 4 indexed citations

Pogson, Mark, et al.. (2023). VOLUMETRIC DIFFUSERS INSPIRED BY PERCOLATION FRACTALS.

Verheul, Jasper, Niels Jensby Nedergaard, Mark Pogson, et al.. (2019). Biomechanical loading during running: can a two mass-spring-damper model be used to evaluate ground reaction forces for high-intensity tasks?. Sports Biomechanics. 20(5). 571–582. 29 indexed citations

Santangeli, Andrea, Stuart H. M. Butchart, Mark Pogson, et al.. (2018). Mapping the global potential exposure of soaring birds to terrestrial wind energy expansion. Ornis Fennica. 95(1). 10 indexed citations

Pogson, Mark. (2016). Simulation of Invertebrate Aggregation Shows the Importance of Stable Personality over Diversity in Consensus Decision-Making. PLoS ONE. 11(10). e0165082–e0165082. 9 indexed citations

Santangeli, Andrea, Enrico Di Minin, Tuuli Toivonen, et al.. (2016). Synergies and trade‐offs between renewable energy expansion and biodiversity conservation – a cross‐national multifactor analysis. GCB Bioenergy. 8(6). 1191–1200. 27 indexed citations

Santangeli, Andrea, Tuuli Toivonen, Federico Montesino Pouzols, et al.. (2015). Global change synergies and trade‐offs between renewable energy and biodiversity. GCB Bioenergy. 8(5). 941–951. 72 indexed citations

10.

Dondini, Marta, Mark Pogson, Jon McCalmont, et al.. (2015). Simulation of greenhouse gases following land‐use change to bioenergy crops using the ECOSSE model: a comparison between site measurements and model predictions. GCB Bioenergy. 8(5). 925–940. 17 indexed citations

11.

Dondini, Marta, Edward O. Jones, Mark Pogson, et al.. (2014). Evaluation of the ECOSSE model for simulating soil carbon under short rotation forestry energy crops in Britain. GCB Bioenergy. 7(3). 527–540. 13 indexed citations

12.

Subedi, Madhu, Robin Matthews, Mark Pogson, et al.. (2014). Can biogas digesters help to reduce deforestation in Africa?. Biomass and Bioenergy. 70. 87–98. 55 indexed citations

13.

Pogson, Mark, Astley Hastings, & Pete Smith. (2012). How does bioenergy compare with other land-based renewable energy sources globally?. GCB Bioenergy. 5(5). 513–524. 33 indexed citations

14.

Wang, Shifeng, Sicong Wang, Astley Hastings, Mark Pogson, & Pete Smith. (2011). Economic and greenhouse gas costs of Miscanthus supply chains in the United Kingdom. GCB Bioenergy. 4(3). 358–363. 22 indexed citations

15.

Pogson, Mark, et al.. (2011). A study of subsurface integrity issues for the Mondarra underground gas storage field. The APPEA Journal. 51(1). 215–224. 7 indexed citations

16.

Pogson, Mark, Astley Hastings, & Pete Smith. (2011). Sensitivity of crop model predictions to entire meteorological and soil input datasets highlights vulnerability to drought. Environmental Modelling & Software. 29(1). 37–43. 37 indexed citations

17.

Pogson, Mark, et al.. (2010). Diffusive benefits of cylinders in front of a Schroeder diffuser. The Journal of the Acoustical Society of America. 128(3). 1149–1154. 2 indexed citations

18.

Pogson, Mark, et al.. (2010). Multiple Scattering Between Cylinders and a Schroeder Diffuser. Acta acustica united with Acustica. 96(2). 292–299. 1 indexed citations

19.

Pogson, Mark, Mike Holcombe, R. H. Smallwood, & Eva E. Qwarnström. (2008). Introducing Spatial Information into Predictive NF-κB Modelling – An Agent-Based Approach. PLoS ONE. 3(6). e2367–e2367. 42 indexed citations

20.

Pogson, Mark, R. H. Smallwood, Eva E. Qwarnström, & Mike Holcombe. (2006). Formal agent-based modelling of intracellular chemical interactions. Biosystems. 85(1). 37–45. 97 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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