Stephen D. Auger

741 total citations
17 papers, 432 citations indexed

About

Stephen D. Auger is a scholar working on Cognitive Neuroscience, Automotive Engineering and Sensory Systems. According to data from OpenAlex, Stephen D. Auger has authored 17 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Automotive Engineering and 4 papers in Sensory Systems. Recurrent topics in Stephen D. Auger's work include Memory and Neural Mechanisms (7 papers), Neural dynamics and brain function (4 papers) and Olfactory and Sensory Function Studies (4 papers). Stephen D. Auger is often cited by papers focused on Memory and Neural Mechanisms (7 papers), Neural dynamics and brain function (4 papers) and Olfactory and Sensory Function Studies (4 papers). Stephen D. Auger collaborates with scholars based in United Kingdom, Mexico and Italy. Stephen D. Auger's co-authors include Eleanor A. Maguire, Sinéad L. Mullally, Peter Zeidman, Alastair J. Noyce, Anette Schrag, Andrew J. Lees, Jack Cuzick, Gavin Giovannoni, Charles R. Marshall and Benjamin M. Jacobs and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Brain.

In The Last Decade

Stephen D. Auger

14 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen D. Auger United Kingdom 9 310 90 86 66 41 17 432
Marilyne Ziegler Canada 8 312 1.0× 91 1.0× 108 1.3× 20 0.3× 71 1.7× 10 406
Alexandra T. Keinath United States 8 270 0.9× 54 0.6× 153 1.8× 37 0.6× 19 0.5× 14 336
Antimo Buonocore Italy 16 572 1.8× 25 0.3× 20 0.2× 100 1.5× 77 1.9× 41 680
Katherine R. Sherrill United States 9 423 1.4× 118 1.3× 134 1.6× 28 0.4× 61 1.5× 11 481
Milagros S. Copara United States 6 441 1.4× 66 0.7× 181 2.1× 21 0.3× 53 1.3× 6 486
Reinhart Jürgens Germany 12 266 0.9× 29 0.3× 33 0.4× 18 0.3× 10 0.2× 16 468
Naoyuki Matsuzaki United States 13 432 1.4× 6 0.1× 77 0.9× 13 0.2× 34 0.8× 27 503
Matthias Nau Germany 10 435 1.4× 37 0.4× 87 1.0× 39 0.6× 42 1.0× 17 538
Qiliang He United States 9 174 0.6× 140 1.6× 64 0.7× 21 0.3× 44 1.1× 19 293
Anthony Stigliani United States 11 578 1.9× 40 0.4× 24 0.3× 21 0.3× 54 1.3× 16 643

Countries citing papers authored by Stephen D. Auger

Since Specialization
Citations

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

Fields of papers citing papers by Stephen D. Auger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen D. Auger. 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 Stephen D. Auger. The network helps show where Stephen D. Auger may publish in the future.

Co-authorship network of co-authors of Stephen D. Auger

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

All Works

17 of 17 papers shown
1.
Auger, Stephen D. & Gregory Scott. (2025). From intuitive guesswork to useful data for better clinical decisions. Brain. 149(1). 11–14.
2.
Auger, Stephen D. & Gregory Scott. (2025). Machine learning detects hidden treatment response patterns only in the presence of comprehensive clinical phenotyping. PLoS ONE. 20(10). e0334858–e0334858. 1 indexed citations
3.
Auger, Stephen D., et al.. (2024). Methotrexate for the neurologist. Practical Neurology. 24(5). 369–375. 1 indexed citations
4.
Auger, Stephen D., et al.. (2022). Osmotic demyelination syndrome despite appropriate gradual correction of moderate hyponatraemia. Practical Neurology. 22(5). 415–417.
5.
Auger, Stephen D., Michael Lawton, Yoav Ben‐Shlomo, et al.. (2022). 228  Testing shortened versions of smell tests to screen for hyposmia in Parkinson’s disease. Journal of Neurology Neurosurgery & Psychiatry. 93(6). A79.2–A79.
6.
Bestwick, Jonathan P., Stephen D. Auger, Anette Schrag, et al.. (2021). Optimising classification of Parkinson’s disease based on motor, olfactory, neuropsychiatric and sleep features. npj Parkinson s Disease. 7(1). 87–87. 6 indexed citations
7.
Bestwick, Jonathan P., Stephen D. Auger, Cristina Simonet, et al.. (2021). Improving estimation of Parkinson’s disease risk—the enhanced PREDICT-PD algorithm. npj Parkinson s Disease. 7(1). 33–33. 15 indexed citations
8.
Auger, Stephen D., Benjamin M. Jacobs, Ruth Dobson, Charles R. Marshall, & Alastair J. Noyce. (2020). Big data, machine learning and artificial intelligence: a neurologist’s guide. Practical Neurology. 21(1). 4–11. 28 indexed citations
9.
Auger, Stephen D., Michael Lawton, Yoav Ben‐Shlomo, et al.. (2020). Testing Shortened Versions of Smell Tests to Screen for Hyposmia in Parkinson's Disease. Movement Disorders Clinical Practice. 7(4). 394–398. 8 indexed citations
10.
Auger, Stephen D., Jack Cuzick, Gavin Giovannoni, et al.. (2019). Screening performance of abbreviated versions of the UPSIT smell test. Journal of Neurology. 266(8). 1897–1906. 35 indexed citations
11.
Auger, Stephen D. & Eleanor A. Maguire. (2018). Retrosplenial Cortex Indexes Stability beyond the Spatial Domain. Journal of Neuroscience. 38(6). 1472–1481. 21 indexed citations
12.
Auger, Stephen D. & Eleanor A. Maguire. (2018). Dissociating Landmark Stability from Orienting Value Using Functional Magnetic Resonance Imaging. Journal of Cognitive Neuroscience. 30(5). 698–713. 5 indexed citations
13.
Auger, Stephen D., Peter Zeidman, & Eleanor A. Maguire. (2017). Efficacy of navigation may be influenced by retrosplenial cortex-mediated learning of landmark stability. Neuropsychologia. 104. 102–112. 22 indexed citations
14.
Kahan, Joshua & Stephen D. Auger. (2015). Functional magnetic resonance imaging. British Journal of Hospital Medicine. 76(12). C189–C192. 10 indexed citations
15.
Auger, Stephen D., Peter Zeidman, & Eleanor A. Maguire. (2015). A central role for the retrosplenial cortex in de novo environmental learning. eLife. 4. 57 indexed citations
16.
Auger, Stephen D. & Eleanor A. Maguire. (2013). Assessing the mechanism of response in the retrosplenial cortex of good and poor navigators. Cortex. 49(10). 2904–2913. 69 indexed citations
17.
Auger, Stephen D., Sinéad L. Mullally, & Eleanor A. Maguire. (2012). Retrosplenial Cortex Codes for Permanent Landmarks. PLoS ONE. 7(8). e43620–e43620. 154 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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