Mark M. Schira

2.6k total citations
48 papers, 1.7k citations indexed

About

Mark M. Schira is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mark M. Schira has authored 48 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 12 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mark M. Schira's work include Visual perception and processing mechanisms (20 papers), Neural dynamics and brain function (12 papers) and Advanced MRI Techniques and Applications (10 papers). Mark M. Schira is often cited by papers focused on Visual perception and processing mechanisms (20 papers), Neural dynamics and brain function (12 papers) and Advanced MRI Techniques and Applications (10 papers). Mark M. Schira collaborates with scholars based in Australia, United States and Germany. Mark M. Schira's co-authors include Christopher W. Tyler, Michael Breakspear, Branka Špehar, Aristotle N. Voineskos, M. Mallar Chakravarty, Nancy J. Lobaugh, Julie L. Winterburn, Alex R. Wade, Stephen Palmisano and Robert S. Allison and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Mark M. Schira

48 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark M. Schira Australia 22 1.2k 356 171 168 168 48 1.7k
Kaylena A. Ehgoetz Martens Australia 28 879 0.7× 249 0.7× 220 1.3× 130 0.8× 201 1.2× 78 2.4k
Elisha P. Merriam United States 19 2.0k 1.7× 147 0.4× 173 1.0× 304 1.8× 93 0.6× 47 2.4k
Sean P. Fitzgibbon United Kingdom 20 1.7k 1.5× 474 1.3× 293 1.7× 161 1.0× 76 0.5× 52 2.2k
Frank Scharnowski Switzerland 24 3.0k 2.5× 449 1.3× 375 2.2× 473 2.8× 234 1.4× 82 3.5k
Muriel Boucart France 27 1.5k 1.3× 205 0.6× 110 0.6× 247 1.5× 69 0.4× 122 2.0k
Simo Vanni Finland 27 2.1k 1.8× 234 0.7× 197 1.2× 174 1.0× 226 1.3× 64 2.4k
Nicolas Langer Switzerland 24 1.5k 1.2× 256 0.7× 84 0.5× 390 2.3× 137 0.8× 56 2.1k
Janine D. Mendola United States 19 2.5k 2.1× 330 0.9× 189 1.1× 179 1.1× 137 0.8× 48 2.9k
Pedro J. Pardo Spain 14 1.3k 1.1× 101 0.3× 118 0.7× 300 1.8× 87 0.5× 48 1.9k
Roland Beisteiner Austria 27 1.3k 1.1× 800 2.2× 189 1.1× 78 0.5× 483 2.9× 112 2.4k

Countries citing papers authored by Mark M. Schira

Since Specialization
Citations

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

Fields of papers citing papers by Mark M. Schira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark M. Schira

This figure shows the co-authorship network connecting the top 25 collaborators of Mark M. Schira. A scholar is included among the top collaborators of Mark M. Schira 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 M. Schira. Mark M. Schira 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.
Greenwood, Lisa‐Marie, Nadia Solowij, Mark M. Schira, et al.. (2024). Lifestyle management and brain MRI metrics in female Australian adults living with multiple sclerosis: a feasibility and acceptability study. Pilot and Feasibility Studies. 10(1). 71–71. 1 indexed citations
2.
Schira, Mark M., Mustafa S. Kassem, Markus Barth, et al.. (2023). HumanBrainAtlas: an in vivo MRI dataset for detailed segmentations. Brain Structure and Function. 228(8). 1849–1863. 5 indexed citations
3.
Greenwood, Lisa‐Marie, Katrina Weston–Green, Xu‐Feng Huang, et al.. (2022). Cannabidiol as a Treatment for Neurobiological, Behavioral, and Psychological Symptoms in Early-Stage Dementia: A Double-Blind, Placebo-Controlled Clinical Trial Protocol. Cannabis and Cannabinoid Research. 8(2). 348–359. 5 indexed citations
4.
5.
Puckett, Alexander M., et al.. (2020). Manipulating the structure of natural scenes using wavelets to study the functional architecture of perceptual hierarchies in the brain. NeuroImage. 221. 117173–117173. 6 indexed citations
6.
Mancini, Flavia, Mark M. Schira, James H. McAuley, et al.. (2019). Fine-Grained Mapping of Cortical Somatotopies in Chronic Complex Regional Pain Syndrome. Journal of Neuroscience. 39(46). 9185–9196. 38 indexed citations
7.
Puckett, Alexander M., et al.. (2019). Vascular effects on the BOLD response and the retinotopic mapping of hV4. PLoS ONE. 14(6). e0204388–e0204388. 4 indexed citations
8.
Pang, James C., et al.. (2019). Feasibility of functional magnetic resonance imaging of ocular dominance and orientation preference in primary visual cortex. PLoS Computational Biology. 15(11). e1007418–e1007418. 2 indexed citations
9.
Denson, Thomas F., et al.. (2018). The neural correlates of alcohol-related aggression. Cognitive Affective & Behavioral Neuroscience. 18(2). 203–215. 19 indexed citations
10.
Puckett, Alexander M., Kevin Aquino, P. A. Robinson, Michael Breakspear, & Mark M. Schira. (2016). The spatiotemporal hemodynamic response function for depth-dependent functional imaging of human cortex. NeuroImage. 139. 240–248. 33 indexed citations
11.
12.
Park, Min Tae M, Jon Pipitone, Julie L. Winterburn, et al.. (2014). Derivation of high-resolution MRI atlases of the human cerebellum at 3T and segmentation using multiple automatically generated templates. NeuroImage. 95. 217–231. 115 indexed citations
13.
Winterburn, Julie L., Jens C. Pruessner, Sofia Chavez, et al.. (2013). A novel in vivo atlas of human hippocampal subfields using high-resolution 3T magnetic resonance imaging. NeuroImage. 74. 254–265. 197 indexed citations
14.
Schira, Mark M. & Branka Špehar. (2011). Differential Effect of Contrast Polarity Reversals in Closed Squares and Open L-Junctions. Frontiers in Psychology. 2. 47–47. 10 indexed citations
15.
16.
Schira, Mark M., Christopher W. Tyler, Branka Špehar, & Michael Breakspear. (2010). Modeling Magnification and Anisotropy in the Primate Foveal Confluence. PLoS Computational Biology. 6(1). e1000651–e1000651. 52 indexed citations
17.
Schira, Mark M., Christopher W. Tyler, Michael Breakspear, & Branka Špehar. (2009). The Foveal Confluence in Human Visual Cortex. Journal of Neuroscience. 29(28). 9050–9058. 121 indexed citations
18.
McDonald, J. S., Kiley Seymour, Mark M. Schira, Branka Špehar, & Colin W. G. Clifford. (2009). Orientation-specific contextual modulation of the fMRI BOLD response to luminance and chromatic gratings in human visual cortex. Vision Research. 49(11). 1397–1405. 19 indexed citations
19.
Kraft, Antje, Notger G. Müller, Herbert Hagendorf, et al.. (2005). Interactions between task difficulty and hemispheric distribution of attended locations: implications for the splitting attention debate. Cognitive Brain Research. 24(1). 19–32. 41 indexed citations
20.
Kimmig, Hubert, Mark W. Greenlee, Matthias Gondan, et al.. (2001). Relationship between saccadic eye movements and cortical activity as measured by fMRI: quantitative and qualitative aspects. Experimental Brain Research. 141(2). 184–194. 122 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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