Joseph Ramsey

3.9k total citations · 1 hit paper
29 papers, 2.3k citations indexed

About

Joseph Ramsey is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Joseph Ramsey has authored 29 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 7 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Joseph Ramsey's work include Bayesian Modeling and Causal Inference (15 papers), Functional Brain Connectivity Studies (7 papers) and Statistical Methods and Bayesian Inference (3 papers). Joseph Ramsey is often cited by papers focused on Bayesian Modeling and Causal Inference (15 papers), Functional Brain Connectivity Studies (7 papers) and Statistical Methods and Bayesian Inference (3 papers). Joseph Ramsey collaborates with scholars based in United States, United Kingdom and Denmark. Joseph Ramsey's co-authors include Mark W. Woolrich, Gholamreza Salimi‐Khorshidi, Matthew Webster, Karla L. Miller, Christian F. Beckmann, Thomas E. Nichols, Stephen M. Smith, Clark Glymour, Rubén Sánchez-Romero and Madelyn Glymour and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and NeuroImage.

In The Last Decade

Joseph Ramsey

27 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Network modelling methods for FMRI

2010 1.4k citations Stephen M. Smith, Karla L. Miller et al. NeuroImage profile →

Peers

Joseph Ramsey

CN

RNMI

AI

ECP

MB

Peng Zhang China

Vangelis Sakkalis Greece

George Zouridakis United States

Franco Pestilli United States

Jonas Richiardi Switzerland

Prejaas Tewarie Netherlands

Daniel S. Marcus United States

Oluwasanmi Koyejo United States

Thorsten Dickhaus Germany

Li Yao China

Peng Zhang China

Joseph Ramsey

1.3k ×0.9

CN

347 ×0.5

RNMI

181 ×0.5

AI

366 ×1.2

ECP

468 ×3.1

MB

Citations per year, relative to Joseph Ramsey Joseph Ramsey (= 1×) peers Peng Zhang

Countries citing papers authored by Joseph Ramsey

Since Specialization

Citations

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

Fields of papers citing papers by Joseph Ramsey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Ramsey

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Ramsey. A scholar is included among the top collaborators of Joseph Ramsey 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 Joseph Ramsey. Joseph Ramsey 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:

20 of 20 papers shown

1.

Petersen, Anne, Joseph Ramsey, Claus Thorn Ekstrøm, & Peter Spirtes. (2023). Causal Discovery for Observational Sciences Using Supervised Machine Learning. Journal of Data Science. 255–280. 4 indexed citations

2.

Huang, Biwei, Kun Zhang, Jiji Zhang, et al.. (2019). Causal Discovery and Hidden Driving Force Estimation from Nonstationary/Heterogeneous Data. arXiv (Cornell University). 2 indexed citations

3.

Glymour, Clark, Joseph Ramsey, & Kun Zhang. (2019). The Evaluation of Discovery: Models, Simulation and Search through “Big Data”. SHILAP Revista de lepidopterología. 2(1). 39–48.

4.

Sánchez-Romero, Rubén, Joseph Ramsey, Kun Zhang, et al.. (2018). Estimating feedforward and feedback effective connections from fMRI time series: Assessments of statistical methods. Network Neuroscience. 3(2). 274–306. 49 indexed citations

5.

Zhang, Kun, Mingming Gong, Joseph Ramsey, et al.. (2018). Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results.. Minerva Access (University of Melbourne). 1063–1072. 5 indexed citations

6.

Ramsey, Joseph. (2018). Bootstrapping the PC and CPC Algorithms to Improve Search Accuracy. Annals of Nuclear Medicine. 27(10). 916–23. 1 indexed citations

7.

Ramsey, Joseph, et al.. (2018). Scoring Bayesian networks of mixed variables. International Journal of Data Science and Analytics. 6(1). 3–18. 30 indexed citations

8.

Ramsey, Joseph, et al.. (2018). Experiments on the Accuracy of Algorithms for Inferring the Structure of Genetic Regulatory Networks from Microarray Expression Levels. Figshare.

9.

Raghu, Vineet K., et al.. (2018). Comparison of strategies for scalable causal discovery of latent variable models from mixed data. International Journal of Data Science and Analytics. 6(1). 33–45. 33 indexed citations

10.

Ramsey, Joseph, et al.. (2018). Outcomes of Community-Based Prenatal Education Programs for Pregnant Women in Rural Texas. Family & Community Health. 41(3). E1–E4. 3 indexed citations

11.

Ramsey, Joseph, et al.. (2017). Discovery of Causal Models that Contain Latent Variables Through Bayesian Scoring of Independence Constraints. Lecture notes in computer science. 2017. 142–157. 9 indexed citations

12.

Scheines, Richard & Joseph Ramsey. (2016). Measurement Error and Causal Discovery.. PubMed Central. 1792. 1–7. 10 indexed citations

13.

Ramsey, Joseph, Madelyn Glymour, Rubén Sánchez-Romero, & Clark Glymour. (2016). A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images. International Journal of Data Science and Analytics. 3(2). 121–129. 178 indexed citations

14.

Laar, Ryan K. van, Nathan Brown, Joseph Ramsey, et al.. (2014). Translating a gene expression signature for multiple myeloma prognosis into a robust high-throughput assay for clinical use. BMC Medical Genomics. 7(1). 25–25. 30 indexed citations

15.

Hanson, Catherine, Stephen José Hanson, Joseph Ramsey, & Clark Glymour. (2013). Atypical Effective Connectivity of Social Brain Networks in Individuals with Autism. Brain Connectivity. 3(6). 578–589. 29 indexed citations

16.

Ramsey, Joseph, Rubén Sánchez-Romero, & Clark Glymour. (2013). Non-Gaussian methods and high-pass filters in the estimation of effective connections. NeuroImage. 84. 986–1006. 39 indexed citations

17.

Mumford, Jeanette A. & Joseph Ramsey. (2013). Bayesian networks for fMRI: A primer. NeuroImage. 86. 573–582. 95 indexed citations

18.

Ramsey, Joseph, Stephen José Hanson, & Clark Glymour. (2011). Multi-subject search correctly identifies causal connections and most causal directions in the DCM models of the Smith et al. simulation study. NeuroImage. 58(3). 838–848. 81 indexed citations

19.

Smith, Stephen M., Karla L. Miller, Gholamreza Salimi‐Khorshidi, et al.. (2010). Network modelling methods for FMRI. NeuroImage. 54(2). 875–891. 1376 indexed citations breakdown →

20.

Ramsey, Joseph, P. R. Gazis, T. L. Roush, Peter Spirtes, & Clark Glymour. (2002). Automated Remote Sensing with Near Infrared Reflectance Spectra: Carbonate Recognition. Data Mining and Knowledge Discovery. 6(3). 277–293. 23 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.

Explore authors with similar magnitude of impact