Matthew A. Smith

8.5k total citations
163 papers, 5.0k citations indexed

About

Matthew A. Smith is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matthew A. Smith has authored 163 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Cognitive Neuroscience, 36 papers in Cellular and Molecular Neuroscience and 25 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matthew A. Smith's work include Neural dynamics and brain function (60 papers), Visual perception and processing mechanisms (37 papers) and Body Composition Measurement Techniques (20 papers). Matthew A. Smith is often cited by papers focused on Neural dynamics and brain function (60 papers), Visual perception and processing mechanisms (37 papers) and Body Composition Measurement Techniques (20 papers). Matthew A. Smith collaborates with scholars based in United States, United Kingdom and Italy. Matthew A. Smith's co-authors include Adam Kohn, J. Anthony Movshon, Wyeth Bair, P. Tothill, A. C. Snyder, G. Nuki, Xiaoxuan Jia, Byron M. Yu, Ryan C. Kelly and Noel Kennedy and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Matthew A. Smith

150 papers receiving 4.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew A. Smith United States 39 2.7k 1.5k 479 439 400 163 5.0k
Micha Abeles Israel 36 4.1k 1.5× 1.8k 1.2× 167 0.3× 681 1.6× 271 0.7× 82 6.3k
Giuseppe Scotti Italy 55 1.9k 0.7× 834 0.6× 238 0.5× 1.3k 2.9× 749 1.9× 383 11.5k
Uwe Klose Germany 45 2.4k 0.9× 751 0.5× 145 0.3× 89 0.2× 488 1.2× 253 7.5k
Takayuki Obata Japan 31 660 0.2× 270 0.2× 158 0.3× 410 0.9× 286 0.7× 204 4.4k
Achim Gass Germany 52 1.3k 0.5× 671 0.5× 284 0.6× 107 0.2× 942 2.4× 236 9.8k
EX Wu Hong Kong 49 1.1k 0.4× 791 0.5× 390 0.8× 121 0.3× 1.3k 3.1× 342 9.0k
Sinisa Pajevic United States 27 2.3k 0.8× 473 0.3× 440 0.9× 148 0.3× 403 1.0× 61 8.6k
Lawrence R. Frank United States 52 5.0k 1.9× 1.1k 0.7× 490 1.0× 61 0.1× 341 0.9× 146 11.8k
Christopher P. Hess United States 45 690 0.3× 373 0.3× 179 0.4× 395 0.9× 370 0.9× 239 6.9k
Elfar Adalsteinsson United States 50 1.9k 0.7× 612 0.4× 142 0.3× 218 0.5× 438 1.1× 168 8.4k

Countries citing papers authored by Matthew A. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew A. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Smith. A scholar is included among the top collaborators of Matthew A. Smith 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 A. Smith. Matthew A. Smith 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.
Johnston, Richard, et al.. (2021). The eyes reflect an internal cognitive state hidden in the population activity of cortical neurons. Cerebral Cortex. 32(15). 3331–3346. 6 indexed citations
2.
Scott, Jonathan, et al.. (2020). Dynamic shifts of visual and saccadic signals in prefrontal cortical regions 8Ar and FEF. Journal of Neurophysiology. 124(6). 1774–1791. 10 indexed citations
3.
Williamson, Ryan C., et al.. (2020). A neural network for online spike classification that improves decoding accuracy. Journal of Neurophysiology. 123(4). 1472–1485. 16 indexed citations
4.
Cowley, Benjamin R., et al.. (2020). Slow Drift of Neural Activity as a Signature of Impulsivity in Macaque Visual and Prefrontal Cortex. Neuron. 108(3). 551–567.e8. 64 indexed citations
5.
Kiorpes, Lynne, et al.. (2019). Altered functional interactions between neurons in primary visual cortex of macaque monkeys with experimental amblyopia. Journal of Neurophysiology. 122(6). 2243–2258. 9 indexed citations
6.
Snyder, A. C., et al.. (2019). Distinct Sources of Variability Affect Eye Movement Preparation. Journal of Neuroscience. 39(23). 4511–4526. 18 indexed citations
7.
Snyder, A. C., et al.. (2018). What does scalp electroencephalogram coherence tell us about long‐range cortical networks?. European Journal of Neuroscience. 48(7). 2466–2481. 10 indexed citations
8.
Snyder, A. C., Byron M. Yu, & Matthew A. Smith. (2018). Distinct population codes for attention in the absence and presence of visual stimulation. Nature Communications. 9(1). 4382–4382. 21 indexed citations
9.
Bittner, Sean R., Ryan C. Williamson, A. C. Snyder, et al.. (2017). Population activity structure of excitatory and inhibitory neurons. PLoS ONE. 12(8). e0181773–e0181773. 22 indexed citations
10.
Cowley, Benjamin R., et al.. (2017). Adaptive stimulus selection for optimizing neural population responses.. Neural Information Processing Systems. 30. 1396–1406. 3 indexed citations
11.
Sigal, Ian A., Matthew A. Smith, Larry Kagemann, et al.. (2016). High-resolution mapping of in-vivo stretch and compression of the lamina cribrosa in response to acute changes in intraocular and/or intracranial pressures. Investigative Ophthalmology & Visual Science. 57(12).
12.
Snyder, A. C., Michael J. Morais, Cory M. Willis, & Matthew A. Smith. (2015). Global network influences on local functional connectivity. Nature Neuroscience. 18(5). 736–743. 40 indexed citations
13.
Scott, James G., Ryan C. Kelly, Matthew A. Smith, Pengcheng Zhou, & Robert E. Kass. (2015). False Discovery Rate Regression: An Application to Neural Synchrony Detection in Primary Visual Cortex. Journal of the American Statistical Association. 110(510). 459–471. 46 indexed citations
14.
Snyder, A. C., Michael J. Morais, Adam Kohn, & Matthew A. Smith. (2014). Correlations in V1 Are Reduced by Stimulation Outside the Receptive Field. Journal of Neuroscience. 34(34). 11222–11227. 40 indexed citations
15.
Smith, Matthew A.. (2013). Delegating Away the Unitary Executive: Reviewing INA § 287(G) Agreements Through the Lens of the Unitary Executive Theory. 8(2). 197–216. 1 indexed citations
16.
Smith, Matthew A., Wyeth Bair, & J. Anthony Movshon. (2006). Dynamics of Suppression in Macaque Primary Visual Cortex. Journal of Neuroscience. 26(18). 4826–4834. 91 indexed citations
17.
Smith, Matthew A., et al.. (2004). A unique case of complex shoulder injury. Injury Extra. 35(1). 3–5. 1 indexed citations
18.
Smith, Matthew A., et al.. (2002). Progressive Seismic Data Mining for Reservoir Characterization. 224(10). 53–60. 1 indexed citations
19.
Woodrow, Graham, B. Oldroyd, Matthew A. Smith, & J. H. Turney. (1997). The effect of arteriovenous fistulae in haemodialysis patients on whole body and segmental bioelectrical impedance. Nephrology Dialysis Transplantation. 12(3). 524–527. 15 indexed citations
20.
Houston, B. Kent, Matthew A. Smith, Lynn E. O’Connor, & Steven C. Funk. (1988). Interviewer Style, Type A Behavior, and Cardiovascular Response. Behavioral Medicine. 14(2). 90–95. 7 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

Breakdown of academic impact, for papers by Micha Abeles Breakdown of academic impact, for papers by Giuseppe Scotti Breakdown of academic impact, for papers by Uwe Klose Breakdown of academic impact, for papers by Takayuki Obata Breakdown of academic impact, for papers by Achim Gass Breakdown of academic impact, for papers by EX Wu Breakdown of academic impact, for papers by Sinisa Pajevic Breakdown of academic impact, for papers by Lawrence R. Frank Breakdown of academic impact, for papers by Christopher P. Hess Breakdown of academic impact, for papers by Elfar Adalsteinsson
Rankless by CCL
2026