Sydney Covitz

823 total citations
10 papers, 108 citations indexed

About

Sydney Covitz is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Sydney Covitz has authored 10 papers receiving a total of 108 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Neurology. Recurrent topics in Sydney Covitz's work include Functional Brain Connectivity Studies (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Mental Health Research Topics (2 papers). Sydney Covitz is often cited by papers focused on Functional Brain Connectivity Studies (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Mental Health Research Topics (2 papers). Sydney Covitz collaborates with scholars based in United States, Sweden and Germany. Sydney Covitz's co-authors include Theodore D. Satterthwaite, Matthew Cieslak, Russell T. Shinohara, Bart Larsen, Raquel E. Gur, Dani S. Bassett, Jakob Seidlitz, Yong Fan, Tyler M. Moore and Valerie J. Sydnor and has published in prestigious journals such as Nature Neuroscience, NeuroImage and Biological Psychiatry.

In The Last Decade

Sydney Covitz

9 papers receiving 106 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sydney Covitz United States	5	59	25	14	14	11	10	108
Noor Al‐Sharif United States	9	74 1.3×	38 1.5×	12 0.9×	11 0.8×	25 2.3×	16	141
Joanna K. Bright United Kingdom	3	40 0.7×	27 1.1×	11 0.8×	16 1.1×	19 1.7×	9	97
Raviteja Kotikalapudi Germany	8	68 1.2×	47 1.9×	14 1.0×	9 0.6×	15 1.4×	22	156
Junfeng Li China	7	50 0.8×	44 1.8×	4 0.3×	8 0.6×	30 2.7×	15	152
Judit Ciarrusta United Kingdom	5	75 1.3×	23 0.9×	28 2.0×	10 0.7×	4 0.4×	6	97
Emily McKenna United States	5	27 0.5×	24 1.0×	48 3.4×	27 1.9×	10 0.9×	8	124
Saül Pascual‐Diaz Spain	5	50 0.8×	51 2.0×	10 0.7×	9 0.6×	6 0.5×	10	85
Stéphanie Tullo Canada	6	72 1.2×	47 1.9×	9 0.6×	11 0.8×	6 0.5×	11	138
Anais Rodriguez-Thompson United States	6	64 1.1×	19 0.8×	16 1.1×	16 1.1×	16 1.5×	7	134
Shin-Young Kim South Korea	6	34 0.6×	8 0.3×	21 1.5×	12 0.9×	24 2.2×	9	102

Countries citing papers authored by Sydney Covitz

Since Specialization

Citations

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

Fields of papers citing papers by Sydney Covitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sydney Covitz

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Uhlrich, Scott D., Antoine Falisse, Sydney Covitz, et al.. (2025). Video-Based Biomechanical Analysis Captures Disease-Specific Movement Signatures of Different Neuromuscular Diseases. NEJM AI. 2(9).

2.

Ng, Bernard, Shinya Tasaki, Kelsey M. Greathouse, et al.. (2024). Integration across biophysical scales identifies molecular and cellular correlates of person-to-person variability in human brain connectivity. Nature Neuroscience. 27(11). 2240–2252. 5 indexed citations

3.

Shafiei, Golia, Arielle S. Keller, Maxwell A. Bertolero, et al.. (2024). Generalizable Links Between Borderline Personality Traits and Functional Connectivity. Biological Psychiatry. 96(6). 486–494. 4 indexed citations

4.

Jarecka, Dorota, Sydney Covitz, Yibei Chen, et al.. (2024). A reproducible and generalizable software workflow for analysis of large-scale neuroimaging data collections using BIDS Apps. Imaging Neuroscience. 2. 1 indexed citations

5.

Parkes, Linden, Jason Z. Kim, Jennifer Stiso, et al.. (2024). A network control theory pipeline for studying the dynamics of the structural connectome. Nature Protocols. 19(12). 3721–3749. 13 indexed citations

6.

Tapera, Tinashe M., Josiane Bourque, Sydney Covitz, et al.. (2023). ModelArray: An R package for statistical analysis of fixel-wise data. NeuroImage. 271. 120037–120037. 2 indexed citations

7.

Baller, Erica B., Elizabeth Sweeney, Matthew Cieslak, et al.. (2023). Mapping the Relationship of White Matter Lesions to Depression in Multiple Sclerosis. Biological Psychiatry. 95(12). 1072–1080. 12 indexed citations

8.

Sydnor, Valerie J., Bart Larsen, Jakob Seidlitz, et al.. (2023). Intrinsic activity development unfolds along a sensorimotor–association cortical axis in youth. Nature Neuroscience. 26(4). 638–649. 69 indexed citations

9.

Vogel, Jacob W., Olof Strandberg, Chris Gaiteri, et al.. (2022). An autopsy‐validated, easily deployable MRI predictor of Alzheimer’s disease tau pathology. Alzheimer s & Dementia. 18(S6). 1 indexed citations

10.

Vogel, Jacob W., Olof Strandberg, Chris Gaiteri, et al.. (2022). An autopsy‐validated, easily deployable MRI predictor of Alzheimer’s disease tau pathology. Alzheimer s & Dementia. 18(S1). 1 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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