Armin Schwartzman

3.2k total citations
87 papers, 1.8k citations indexed

About

Armin Schwartzman is a scholar working on Radiology, Nuclear Medicine and Imaging, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Armin Schwartzman has authored 87 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Statistics and Probability and 9 papers in Molecular Biology. Recurrent topics in Armin Schwartzman's work include Advanced Neuroimaging Techniques and Applications (16 papers), Statistical Methods and Inference (13 papers) and Statistical Methods in Clinical Trials (11 papers). Armin Schwartzman is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (16 papers), Statistical Methods and Inference (13 papers) and Statistical Methods in Clinical Trials (11 papers). Armin Schwartzman collaborates with scholars based in United States, Canada and Germany. Armin Schwartzman's co-authors include Robert F. Dougherty, Xihong Lin, Jonathan Taylor, Jane E. Ledingham, Richard E. Tremblay, David Andrés, Kyle Hasenstab, Guilherme Moura Cunha, Tommaso Cai and Michele Guindani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and NeuroImage.

In The Last Decade

Armin Schwartzman

80 papers receiving 1.8k citations

Peers

Armin Schwartzman

RNMI

Jian Kang United States

F. DuBois Bowman United States

Phillip Good Australia

Arindam Chatterjee United States

Malka Gorfine Israel

Paul A. Thompson United Kingdom

Morten Mørup Denmark

Babak Shahbaba United States

Marta García‐Fiñana United Kingdom

Hernando Ombao United States

Jian Kang United States

Armin Schwartzman

238 ×0.7

RNMI

197 ×0.7

179 ×0.7

574 ×2.2

64 ×0.3

Citations per year, relative to Armin Schwartzman Armin Schwartzman (= 1×) peers Jian Kang

Countries citing papers authored by Armin Schwartzman

Since Specialization

Citations

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

Fields of papers citing papers by Armin Schwartzman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Armin Schwartzman

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

All Works

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20 of 20 papers shown

Jung, Sungkyu, Brian Rooks, David Groisser, & Armin Schwartzman. (2025). Averaging symmetric positive-definite matrices on the space of eigen-decompositions. Bernoulli. 31(2). 2 indexed citations

Schwartzman, Armin, et al.. (2024). An approximation to peak detection power using Gaussian random field theory. Journal of Multivariate Analysis. 204. 105346–105346.

Rödenbeck, Christian, et al.. (2023). Surprising stability of recent global carbon cycling enables improved fossil fuel emission verification. Nature Climate Change. 13(9). 961–966. 4 indexed citations

Pranav, Pratyush, et al.. (2023). Estimation of expected Euler characteristic curves of nonstationary smooth random fields. The Annals of Statistics. 51(5). 3 indexed citations

Christopher, Mark, James A. Proudfoot, Christopher Bowd, et al.. (2022). A Deep Learning Approach to Improve Retinal Structural Predictions and Aid Glaucoma Neuroprotective Clinical Trial Design. Ophthalmology Glaucoma. 6(2). 147–159. 11 indexed citations

Schwartzman, Armin, et al.. (2022). Functional delta residuals and applications to simultaneous confidence bands of moment based statistics. Journal of Multivariate Analysis. 192. 105085–105085. 1 indexed citations

Hasenstab, Kyle, et al.. (2020). Comparison of handcrafted features and convolutional neural networks for liver MR image adequacy assessment. Scientific Reports. 10(1). 20336–20336. 73 indexed citations

Duque, Javier Carrón, et al.. (2019). Point source detection and false discovery rate control on CMB maps. Cineca Institutional Research Information System (Tor Vergata University). 9 indexed citations

Schwartzman, Armin, et al.. (2019). Simultaneous Confidence Bands for Functional Data Using the Gaussian Kinematic Formula. arXiv (Cornell University). 15 indexed citations

10.

Schwartzman, Armin, et al.. (2019). A simple, consistent estimator of SNP heritability from genome-wide association studies. The Annals of Applied Statistics. 13(4). 2509–2538. 9 indexed citations

11.

Talley, Lynne D., Matthew R. Mazloff, Stephen C. Riser, et al.. (2018). Observing the Ice‐Covered Weddell Gyre With Profiling Floats: Position Uncertainties and Correlation Statistics. Journal of Geophysical Research Oceans. 123(11). 8383–8410. 21 indexed citations

12.

Scherrer, Benoît, Armin Schwartzman, Maxime Taquet, et al.. (2016). Characterizing brain tissue by assessment of the distribution of anisotropic microstructural environments in diffusion‐compartment imaging (DIAMOND). Magnetic Resonance in Medicine. 76(3). 2 indexed citations

13.

Patrangenaru, Vic, et al.. (2013). Nonparametric two-sample tests on homogeneous Riemannian manifolds, Cholesky decompositions and Diffusion Tensor Image analysis. Journal of Multivariate Analysis. 119. 163–175. 15 indexed citations

14.

Scherrer, Benoît, Armin Schwartzman, Maxime Taquet, et al.. (2013). Characterizing the DIstribution of Anisotropic MicrO-structural eNvironments with Diffusion-Weighted Imaging (DIAMOND). Lecture notes in computer science. 16(Pt 3). 518–526. 13 indexed citations

15.

Schwartzman, Armin, et al.. (2011). Multiple testing of local maxima for detection of peaks in 1D. The Annals of Statistics. 39(6). 3290–3319. 31 indexed citations

16.

Schwartzman, Armin & Xihong Lin. (2011). The effect of correlation in false discovery rate estimation. Biometrika. 98(1). 199–214. 93 indexed citations

17.

Wu, Zhenhua J., Clifford A. Meyer, Sibgat Choudhury, et al.. (2010). Gene expression profiling of human breast tissue samples using SAGE-Seq. Genome Research. 20(12). 1730–1739. 28 indexed citations

18.

Rauschecker, Andreas M., Gayle K. Deutsch, Michal Ben‐Shachar, et al.. (2008). Reading impairment in a patient with missing arcuate fasciculus. Neuropsychologia. 47(1). 180–194. 60 indexed citations

19.

Anschel, David J., et al.. (2006). Analysis of writing in an epilepsy center population: A prospective blinded study. Epilepsy & Behavior. 9(3). 464–468. 1 indexed citations

20.

Gold, Deborah T., David Andrés, Tye E. Arbuckle, & Armin Schwartzman. (1988). Measurement and Correlates of Verbosity in Elderly People. Journal of Gerontology. 43(2). P27–P33. 54 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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