F. DuBois Bowman

2.8k total citations
48 papers, 1.9k citations indexed

About

F. DuBois Bowman is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Statistics and Probability. According to data from OpenAlex, F. DuBois Bowman has authored 48 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 17 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Statistics and Probability. Recurrent topics in F. DuBois Bowman's work include Functional Brain Connectivity Studies (27 papers), Advanced Neuroimaging Techniques and Applications (14 papers) and Neural dynamics and brain function (12 papers). F. DuBois Bowman is often cited by papers focused on Functional Brain Connectivity Studies (27 papers), Advanced Neuroimaging Techniques and Applications (14 papers) and Neural dynamics and brain function (12 papers). F. DuBois Bowman collaborates with scholars based in United States, Australia and Switzerland. F. DuBois Bowman's co-authors include Clinton D. Kilts, John K. Amory, William J. Bremner, Alvin M. Matsumoto, Stephanie T. Page, Bradley D. Anawalt, J. Lisa Tenover, Rajan Patel, Mark M. Goodman and David M. Schuster and has published in prestigious journals such as Journal of the American Statistical Association, NeuroImage and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

F. DuBois Bowman

47 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. DuBois Bowman United States 20 642 601 371 336 220 48 1.9k
Alessandra Bertoldo Italy 32 1.2k 1.9× 767 1.3× 108 0.3× 160 0.5× 619 2.8× 183 3.6k
Marc Hommel France 32 419 0.7× 631 1.0× 1.1k 3.1× 134 0.4× 399 1.8× 110 5.5k
Kathleen Schmidt United States 27 688 1.1× 182 0.3× 70 0.2× 428 1.3× 431 2.0× 70 2.0k
Karolien Goffin Belgium 30 623 1.0× 330 0.5× 654 1.8× 63 0.2× 290 1.3× 132 2.7k
Jing Qian United States 29 124 0.2× 238 0.4× 496 1.3× 217 0.6× 1.2k 5.3× 92 3.2k
Sungeun Kim South Korea 36 801 1.2× 517 0.9× 601 1.6× 130 0.4× 1.7k 7.9× 161 4.8k
Matthias Brendel Germany 32 896 1.4× 412 0.7× 238 0.6× 210 0.6× 693 3.1× 209 4.1k
Ralph Buchert Germany 37 1.5k 2.3× 749 1.2× 751 2.0× 251 0.7× 375 1.7× 233 5.3k
L. Rumbach France 36 317 0.5× 554 0.9× 322 0.9× 139 0.4× 713 3.2× 144 4.0k
Marianne Patt Germany 28 958 1.5× 325 0.5× 225 0.6× 53 0.2× 465 2.1× 126 2.4k

Countries citing papers authored by F. DuBois Bowman

Since Specialization
Citations

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

Fields of papers citing papers by F. DuBois Bowman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. DuBois Bowman. 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 F. DuBois Bowman. The network helps show where F. DuBois Bowman may publish in the future.

Co-authorship network of co-authors of F. DuBois Bowman

This figure shows the co-authorship network connecting the top 25 collaborators of F. DuBois Bowman. A scholar is included among the top collaborators of F. DuBois Bowman 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 F. DuBois Bowman. F. DuBois Bowman 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.
Drake, Daniel, et al.. (2023). Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging. Wiley Interdisciplinary Reviews Computational Statistics. 15(5). 4 indexed citations
2.
Lee, Seonjoo, et al.. (2023). Longitudinal canonical correlation analysis. Journal of the Royal Statistical Society Series C (Applied Statistics). 72(3). 587–607. 4 indexed citations
3.
Agha, Golareh, Katrina Kezios, Andrea Baccarelli, et al.. (2019). Cognition level and change in cognition during adolescence are associated with cognition in midlife. Annals of Epidemiology. 35. 48–52.e2. 2 indexed citations
4.
Chen, Shuo, et al.. (2019). Detecting and testing altered brain connectivity networks with k-partite network topology. Computational Statistics & Data Analysis. 141. 109–122. 10 indexed citations
5.
Wang, Yikai, et al.. (2018). Evaluating the Strength of Structural Connectivity Underlying Brain Functional Networks. Brain Connectivity. 8(10). 579–594. 8 indexed citations
6.
Xue, Wen‐Qiong, F. DuBois Bowman, & Jian Kang. (2018). A Bayesian Spatial Model to Predict Disease Status Using Imaging Data From Various Modalities. Frontiers in Neuroscience. 12. 184–184. 6 indexed citations
7.
Bowman, F. DuBois, Daniel Drake, & Daniel E. Huddleston. (2016). Multimodal Imaging Signatures of Parkinson's Disease. Frontiers in Neuroscience. 10. 131–131. 23 indexed citations
8.
Gazes, Yunglin, F. DuBois Bowman, Qolamreza Razlighi, et al.. (2015). White matter tract covariance patterns predict age-declining cognitive abilities. NeuroImage. 125. 53–60. 25 indexed citations
9.
Bowman, F. DuBois. (2014). Brain Imaging Analysis. Annual Review of Statistics and Its Application. 1(1). 61–85. 36 indexed citations
10.
11.
Chen, Shuo & F. DuBois Bowman. (2011). A novel support vector classifier for longitudinal high‐dimensional data and its application to neuroimaging data. Statistical Analysis and Data Mining The ASA Data Science Journal. 4(6). 604–611. 13 indexed citations
12.
Schuster, David M., Raghuveer Halkar, Fábio Esteves, et al.. (2008). Investigation of Emission–Transmission Misalignment Artifacts on Rubidium-82 Cardiac PET with Adenosine Pharmacologic Stress. Molecular Imaging and Biology. 10(4). 201–208. 6 indexed citations
13.
Bowman, F. DuBois, Ying Guo, & Gordana Derado. (2007). Statistical Approaches to Functional Neuroimaging Data. Neuroimaging Clinics of North America. 17(4). 441–458. 25 indexed citations
14.
Bowman, F. DuBois, Brian Caffo, Susan Spear Bassett, & Clinton D. Kilts. (2007). A Bayesian hierarchical framework for spatial modeling of fMRI data. NeuroImage. 39(1). 146–156. 87 indexed citations
15.
Patel, Rajan, Dimitri Van De Ville, & F. DuBois Bowman. (2006). Determining significant connectivity by 4D spatiotemporal wavelet packet resampling of functional neuroimaging data. NeuroImage. 31(3). 1142–1155. 19 indexed citations
16.
Bowman, F. DuBois & Amita K. Manatunga. (2005). A Joint Model for Longitudinal Data Profiles and Associated Event Risks with Application to a Depression Study. Journal of the Royal Statistical Society Series C (Applied Statistics). 54(2). 301–316. 5 indexed citations
17.
Page, Stephanie T., John K. Amory, F. DuBois Bowman, et al.. (2005). Exogenous Testosterone (T) Alone or with Finasteride Increases Physical Performance, Grip Strength, and Lean Body Mass in Older Men with Low Serum T. The Journal of Clinical Endocrinology & Metabolism. 90(3). 1502–1510. 435 indexed citations
18.
Bowman, F. DuBois & Rajan Patel. (2004). Identifying spatial relationships in neural processing using a multiple classification approach. NeuroImage. 23(1). 260–268. 12 indexed citations
19.
Bowman, F. DuBois, R. B. Patel, & Chengxing Lu. (2004). Methods for detecting functional classifications in neuroimaging data. Human Brain Mapping. 23(2). 109–119. 18 indexed citations
20.
Bowman, F. DuBois & Lance A. Waller. (2004). Modelling of cardiac imaging data with spatial correlation. Statistics in Medicine. 23(6). 965–985. 8 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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