Matthew Bell

3.1k total citations · 1 hit paper
70 papers, 2.0k citations indexed

About

Matthew Bell is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Small Animals. According to data from OpenAlex, Matthew Bell has authored 70 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Agronomy and Crop Science, 19 papers in Animal Science and Zoology and 13 papers in Small Animals. Recurrent topics in Matthew Bell's work include Ruminant Nutrition and Digestive Physiology (19 papers), Effects of Environmental Stressors on Livestock (17 papers) and Agriculture Sustainability and Environmental Impact (13 papers). Matthew Bell is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (19 papers), Effects of Environmental Stressors on Livestock (17 papers) and Agriculture Sustainability and Environmental Impact (13 papers). Matthew Bell collaborates with scholars based in United Kingdom, Australia and United States. Matthew Bell's co-authors include Rebecca Bruce, Janyce Wiebe, Theresa Wilson, Melanie Martin, David J. Roberts, A.B. Lawrence, Marie J. Haskell, G. Russell, G. Simm and E. Wall and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Energy Policy.

In The Last Decade

Matthew Bell

63 papers receiving 1.9k citations

Hit Papers

Learning Subjective Language 2004 2026 2011 2018 2004 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Learning Subjective Language
    2004 483 citations Matthew Bell et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Bell United Kingdom 25 679 595 501 474 473 70 2.0k
Víctor E. Cabrera United States 29 1.2k 1.7× 548 0.9× 322 0.6× 30 0.1× 934 2.0× 122 2.5k
Christopher A. Wolf United States 29 754 1.1× 336 0.6× 624 1.2× 49 0.1× 506 1.1× 129 2.8k
Siva Ganesh New Zealand 24 485 0.7× 106 0.2× 157 0.3× 68 0.1× 189 0.4× 89 2.0k
E. Maltz Israel 30 1.5k 2.2× 2.2k 3.7× 1.2k 2.3× 23 0.0× 993 2.1× 86 3.5k
Mark Trotter Australia 23 230 0.3× 620 1.0× 743 1.5× 45 0.1× 323 0.7× 92 1.6k
Morris Villarroel Spain 32 239 0.4× 1.4k 2.3× 909 1.8× 64 0.1× 293 0.6× 121 2.9k
W. Holmes United Kingdom 30 1.1k 1.7× 336 0.6× 92 0.2× 767 1.6× 631 1.3× 150 4.1k
Philip Jones United Kingdom 23 158 0.2× 175 0.3× 210 0.4× 162 0.3× 173 0.4× 70 1.9k
J.G. Linn United States 29 1.5k 2.2× 487 0.8× 461 0.9× 19 0.0× 683 1.4× 105 2.4k
H.M.J. Udo Netherlands 28 687 1.0× 418 0.7× 121 0.2× 28 0.1× 471 1.0× 113 2.6k

Countries citing papers authored by Matthew Bell

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Bell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Bell

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Bell. A scholar is included among the top collaborators of Matthew Bell 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 Matthew Bell. Matthew Bell 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.
Crew, Adrian, et al.. (2025). Comparison of Soil Organic Carbon Measurement Methods. Agronomy. 15(8). 1826–1826.
2.
Ahmad, Misbah, et al.. (2024). IYOLO-FAM: Improved YOLOv8 with Feature Attention Mechanism for Cow Behaviour Detection. 210–219. 3 indexed citations
3.
Sánchez, Enrique, et al.. (2023). From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark Discovery. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 1–15. 5 indexed citations
4.
Giannitsopoulos, Michail L., Paul Burgess, Matthew Bell, et al.. (2022). Translating and applying a simulation model to enhance understanding of grassland management. Grass and Forage Science. 78(1). 50–63. 1 indexed citations
5.
Juneau, Carl-Étienne, et al.. (2022). Lessons from past pandemics: a systematic review of evidence-based, cost-effective interventions to suppress COVID-19. Systematic Reviews. 11(1). 90–90. 22 indexed citations
6.
Garnsworthy, P. C., et al.. (2022). Variability in Enteric Methane Emissions among Dairy Cows during Lactation. Animals. 13(1). 157–157. 5 indexed citations
7.
Tzimiropoulos, Georgios, et al.. (2021). Changes in Dairy Cow Behavior with and without Assistance at Calving. Agriculture. 11(8). 722–722. 2 indexed citations
8.
Giannitsopoulos, Michail L., Paul Burgess, G. M. Richter, et al.. (2021). Modelling the Interactions of Soils, Climate, and Management for Grass Production in England and Wales. Agronomy. 11(4). 677–677. 5 indexed citations
9.
Bell, Matthew, et al.. (2020). Effect of pasture cover and height on nutrient concentrations in diverse swards in the UK. Grassland Science. 67(3). 267–272. 7 indexed citations
10.
Wang, Jun, Matthew Bell, Xiaohang Liu, & Gang Liu. (2020). Machine-Learning Techniques Can Enhance Dairy Cow Estrus Detection Using Location and Acceleration Data. Animals. 10(7). 1160–1160. 50 indexed citations
11.
Sánchez, Enrique, et al.. (2020). Unsupervised Learning of Object Landmarks via Self-Training Correspondence. Neural Information Processing Systems. 33. 4709–4720. 7 indexed citations
12.
13.
Bell, Matthew, P. C. Garnsworthy, Alistair W. Stott, & J.E. Pryce. (2014). Effects of changing cow production and fitness traits on profit and greenhouse gas emissions of UK dairy systems. The Journal of Agricultural Science. 153(1). 138–151. 24 indexed citations
14.
Bell, Matthew, et al.. (2014). Variation in enteric methane emissions among cows on commercial dairy farms. animal. 8(9). 1540–1546. 50 indexed citations
15.
Bell, Matthew, et al.. (2014). Methane emissions among individual dairy cows during milking quantified by eructation peaks or ratio with carbon dioxide. Journal of Dairy Science. 97(10). 6536–6546. 36 indexed citations
16.
Turner, Simon P., E.A. Navajas, J. J. Hyslop, et al.. (2011). Associations between response to handling and growth and meat quality in frequently handled Bos taurus beef cattle1. Journal of Animal Science. 89(12). 4239–4248. 65 indexed citations
17.
18.
Bell, Matthew & David J. Roberts. (2007). The impact of uterine infection on a dairy cow's performance. Theriogenology. 68(7). 1074–1079. 72 indexed citations
19.
Haskell, Marie J., et al.. (2006). Housing System, Milk Production, and Zero-Grazing Effects on Lameness and Leg Injury in Dairy Cows. Journal of Dairy Science. 89(11). 4259–4266. 225 indexed citations
20.

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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