Tom Matheson

2.5k total citations
47 papers, 1.3k citations indexed

About

Tom Matheson is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Tom Matheson has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 19 papers in Cognitive Neuroscience and 13 papers in Biomedical Engineering. Recurrent topics in Tom Matheson's work include Neurobiology and Insect Physiology Research (24 papers), Muscle activation and electromyography studies (13 papers) and Motor Control and Adaptation (11 papers). Tom Matheson is often cited by papers focused on Neurobiology and Insect Physiology Research (24 papers), Muscle activation and electromyography studies (13 papers) and Motor Control and Adaptation (11 papers). Tom Matheson collaborates with scholars based in United Kingdom, Germany and New Zealand. Tom Matheson's co-authors include Malcolm Burrows, Stephen M. Rogers, Volker Dürr, Stephen J. Simpson, Laurence H. Field, Holger G. Krapp, Emma Despland, Jan M. Ache, A. Aldo Faisal and Keith M. Kendrick and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Nature Cell Biology.

In The Last Decade

Tom Matheson

47 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Matheson United Kingdom 24 687 447 407 276 255 47 1.3k
Reinhold Hustert Germany 21 1.0k 1.5× 587 1.3× 507 1.2× 182 0.7× 208 0.8× 44 1.4k
John C Tuthill United States 17 774 1.1× 398 0.9× 387 1.0× 255 0.9× 138 0.5× 34 1.5k
Philip L. Newland United Kingdom 26 799 1.2× 414 0.9× 516 1.3× 219 0.8× 458 1.8× 104 1.9k
Gwyneth M Card United States 21 1.5k 2.2× 712 1.6× 803 2.0× 339 1.2× 216 0.8× 37 2.0k
Gernot Wendler Germany 18 561 0.8× 530 1.2× 543 1.3× 232 0.8× 134 0.5× 40 1.3k
Hans‐Joachim Pflüger Germany 30 1.5k 2.3× 800 1.8× 713 1.8× 257 0.9× 303 1.2× 78 2.2k
Ralph A. DiCaprio United States 22 665 1.0× 208 0.5× 165 0.4× 457 1.7× 209 0.8× 40 1.2k
W. J. Heitler United Kingdom 22 1.2k 1.8× 319 0.7× 459 1.1× 640 2.3× 420 1.6× 65 2.0k
Charles R. Fourtner United States 19 693 1.0× 353 0.8× 265 0.7× 249 0.9× 262 1.0× 41 1.3k
Melody V. S. Siegler United States 24 1.2k 1.7× 303 0.7× 343 0.8× 486 1.8× 206 0.8× 30 1.5k

Countries citing papers authored by Tom Matheson

Since Specialization
Citations

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

Fields of papers citing papers by Tom Matheson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Matheson

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Matheson. A scholar is included among the top collaborators of Tom Matheson 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 Tom Matheson. Tom Matheson 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.
Matheson, Tom, et al.. (2020). Secondary production of macroinvertebrates as indicators of success in stream rehabilitation. River Research and Applications. 37(3). 408–422. 4 indexed citations
2.
Matheson, Tom, et al.. (2019). Evaluation of linear and non-linear activation dynamics models for insect muscle. PLoS Computational Biology. 15(10). e1007437–e1007437. 6 indexed citations
3.
Matheson, Tom, et al.. (2019). Aimed limb movements in a hemimetabolous insect are intrinsically compensated for allometric wing growth by developmental mechanisms. Journal of Experimental Biology. 222(Pt 16). 1 indexed citations
4.
Warren, Ben & Tom Matheson. (2018). The Role of the Mechanotransduction Ion Channel Candidate Nanchung-Inactive in Auditory Transduction in an Insect Ear. Journal of Neuroscience. 38(15). 3741–3752. 23 indexed citations
5.
Nielsen, Thomas A., et al.. (2014). Motor Inhibition Affects the Speed But Not Accuracy of Aimed Limb Movements in an Insect. Journal of Neuroscience. 34(22). 7509–7521. 3 indexed citations
6.
Rogers, Stephen M., Darron A. Cullen, Malcolm Burrows, et al.. (2014). Rapid behavioural gregarization in the desert locust, Schistocerca gregaria entails synchronous changes in both activity and attraction to conspecifics. Journal of Insect Physiology. 65. 9–26. 53 indexed citations
7.
Ache, Jan M. & Tom Matheson. (2013). Passive Joint Forces Are Tuned to Limb Use in Insects and Drive Movements without Motor Activity. Current Biology. 23(15). 1418–1426. 35 indexed citations
8.
Badisco, Liesbeth, Swidbert R. Ott, Stephen M. Rogers, et al.. (2011). Microarray-Based Transcriptomic Analysis of Differences between Long-Term Gregarious and Solitarious Desert Locusts. PLoS ONE. 6(11). e28110–e28110. 38 indexed citations
9.
Ott, Swidbert R., et al.. (2010). Motor neurone responses during a postural reflex in solitarious and gregarious desert locusts. Journal of Insect Physiology. 56(8). 902–910. 25 indexed citations
10.
Matheson, Tom, et al.. (2009). Braincurry: A Domain-specific Language for Integrative Neuroscience.. 161–176. 1 indexed citations
11.
Matheson, Tom, et al.. (2009). Functional Recovery of Aimed Scratching Movements after a Graded Proprioceptive Manipulation. Journal of Neuroscience. 29(12). 3897–3907. 17 indexed citations
12.
Rogers, Stephen M., Holger G. Krapp, Malcolm Burrows, & Tom Matheson. (2007). Compensatory Plasticity at an Identified Synapse Tunes a Visuomotor Pathway. Journal of Neuroscience. 27(17). 4621–4633. 24 indexed citations
13.
Dürr, Volker, et al.. (2007). Motor Control of Aimed Limb Movements in an Insect. Journal of Neurophysiology. 99(2). 484–499. 24 indexed citations
14.
Matheson, Tom, et al.. (2006). Co-Contraction and Passive Forces Facilitate Load Compensation of Aimed Limb Movements. Journal of Neuroscience. 26(19). 4995–5007. 36 indexed citations
15.
Matheson, Tom, et al.. (2004). A posture optimization algorithm for model-based motion capture of movement sequences. Journal of Neuroscience Methods. 135(1-2). 43–54. 31 indexed citations
16.
Matheson, Tom & Volker Dürr. (2003). Load compensation in targeted limb movements of an insect. Journal of Experimental Biology. 206(18). 3175–3186. 18 indexed citations
17.
Matheson, Tom. (2002). Metathoracic neurons integrating intersegmental sensory information in the locust. The Journal of Comparative Neurology. 444(2). 95–114. 6 indexed citations
18.
Faisal, A. Aldo & Tom Matheson. (2001). Coordinated Righting Behaviour in Locusts. Journal of Experimental Biology. 204(4). 637–648. 49 indexed citations
19.
Matheson, Tom. (1998). Contralateral Coordination and Retargeting of Limb Movements During Scratching in the Locust. Journal of Experimental Biology. 201(13). 2021–2032. 15 indexed citations
20.
Matheson, Tom, et al.. (1991). A simple computer-controlled analogue ramp generator for producing multiple ramp-and-hold stimuli. Journal of Neuroscience Methods. 39(1). 45–52. 10 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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