Todd Ogden

520 total citations
10 papers, 323 citations indexed

About

Todd Ogden is a scholar working on Statistics and Probability, Biological Psychiatry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Todd Ogden has authored 10 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 2 papers in Biological Psychiatry and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Todd Ogden's work include Statistical and numerical algorithms (2 papers), Image and Signal Denoising Methods (2 papers) and Tryptophan and brain disorders (2 papers). Todd Ogden is often cited by papers focused on Statistical and numerical algorithms (2 papers), Image and Signal Denoising Methods (2 papers) and Tryptophan and brain disorders (2 papers). Todd Ogden collaborates with scholars based in United States. Todd Ogden's co-authors include Emanuel Parzen, Ramin V. Parsey, María A. Oquendo, J. John Mann, Gregory M. Sullivan, Jeffrey M. Miller, Geoffrey L. Collier, Christine DeLorenzo, Myrna M. Weissman and Maurizio Fava and has published in prestigious journals such as Journal of the American Statistical Association, Neuropsychopharmacology and Human Brain Mapping.

In The Last Decade

Todd Ogden

10 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Todd Ogden United States	9	72	62	46	44	41	10	323
Amir H. Meghdadi United States	10	209 2.9×	70 1.1×	30 0.7×	17 0.4×	33 0.8×	38	463
Matías Nicolás Bossa Spain	13	78 1.1×	151 2.4×	18 0.4×	14 0.3×	9 0.2×	29	547
Z. Wang Canada	12	151 2.1×	37 0.6×	51 1.1×	16 0.4×	19 0.5×	22	451
Michael Ostland United States	6	26 0.4×	92 1.5×	91 2.0×	19 0.4×	11 0.3×	7	521
Tong He Singapore	7	330 4.6×	20 0.3×	17 0.4×	15 0.3×	7 0.2×	8	541
Yeung Sam Hung Hong Kong	12	197 2.7×	15 0.2×	33 0.7×	23 0.5×	10 0.2×	34	509
Alzheimer’s Disease Neuroimaging Initiative China	13	87 1.2×	33 0.5×	21 0.5×	7 0.2×	3 0.1×	35	436
Taku Yoshioka Japan	7	472 6.6×	45 0.7×	50 1.1×	6 0.1×	14 0.3×	16	604
Herbert Jelinek Australia	12	90 1.3×	56 0.9×	77 1.7×	10 0.2×		22	525

Countries citing papers authored by Todd Ogden

Since Specialization

Citations

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

Fields of papers citing papers by Todd Ogden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Ogden

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

All Works

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10 of 10 papers shown

Ciarleglio, Adam, Eva Petkova, Todd Ogden, & Thaddeus Tarpey. (2018). Constructing Treatment Decision Rules Based on Scalar and Functional Predictors when Moderators of Treatment Effect are Unknown. Journal of the Royal Statistical Society Series C (Applied Statistics). 67(5). 1331–1356. 9 indexed citations

Perlman, Greg, Elizabeth Bartlett, Christine DeLorenzo, et al.. (2017). Cortical thickness is not associated with current depression in a clinical treatment study. Human Brain Mapping. 38(9). 4370–4385. 14 indexed citations

Yeh, Fang‐Cheng, Phil Adams, Madhukar H. Trivedi, et al.. (2017). A comparison of structural connectivity in anxious depression versus non-anxious depression. Journal of Psychiatric Research. 89. 38–47. 31 indexed citations

Miller, Jeffrey M., Todd Ogden, María A. Oquendo, et al.. (2009). Elevated Serotonin 1A Binding in Remitted Major Depressive Disorder: Evidence for a Trait Biological Abnormality. Neuropsychopharmacology. 34(10). 2275–2284. 76 indexed citations

Ogden, Todd & Geoffrey L. Collier. (2002). Inference on variance components of autocorrelated sequences in the presence of drift. Journal of nonparametric statistics. 14(4). 409–420. 7 indexed citations

Ogden, Todd. (2002). Wavelet Methods for Time Series Analysis. Journal of the American Statistical Association. 97(457). 362–363. 30 indexed citations

Ogden, Todd, et al.. (1997). Continuous-time estimation of A change-point in a poisson process. Journal of Statistical Computation and Simulation. 56(4). 293–302. 33 indexed citations

Ogden, Todd, et al.. (1997). Statistical Analysis withWebstat,JavaApplet for the World Wide Web. Journal of Statistical Software. 2(3). 18 indexed citations

Ogden, Todd & Emanuel Parzen. (1996). Data dependent wavelet thresholding in nonparametric regression with change-point applications. Computational Statistics & Data Analysis. 22(1). 53–70. 55 indexed citations

10.

Ogden, Todd & Emanuel Parzen. (1996). Change-point approach to data analytic wavelet thresholding. Statistics and Computing. 6(2). 93–99. 50 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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