Joshua Cape

530 total citations
21 papers, 175 citations indexed

About

Joshua Cape is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Joshua Cape has authored 21 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 7 papers in Statistical and Nonlinear Physics and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Joshua Cape's work include Functional Brain Connectivity Studies (8 papers), Complex Network Analysis Techniques (7 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Joshua Cape is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Complex Network Analysis Techniques (7 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Joshua Cape collaborates with scholars based in United States, United Kingdom and Brazil. Joshua Cape's co-authors include Carey E. Priebe, Minh Tang, Nathan Tintle, Patrick Rubin‐Delanchy, Avanti Athreya, Jonathan E. Rubin, Konasale M. Prasad, Satish Iyengar, Vince Lyzinski and Joshua T Vogelstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biometrika and Frontiers in Microbiology.

In The Last Decade

Joshua Cape

18 papers receiving 173 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua Cape United States 7 58 53 46 24 21 21 175
Alexandra Piryatinska United States 7 49 0.8× 22 0.4× 118 2.6× 4 0.2× 23 1.1× 14 323
Sebastian Weichwald Germany 7 9 0.2× 46 0.9× 77 1.7× 13 0.5× 8 0.4× 10 152
Keith Levin United States 6 52 0.9× 151 2.8× 25 0.5× 13 0.5× 13 0.6× 12 217
Mayrim Vega‐Hernández Cuba 7 13 0.2× 33 0.6× 284 6.2× 125 5.2× 34 1.6× 8 380
Yonghong Chen China 5 75 1.3× 69 1.3× 137 3.0× 3 0.1× 5 0.2× 9 305
Gianluca Frasso Belgium 11 8 0.1× 27 0.5× 58 1.3× 17 0.7× 9 0.4× 15 293
Anton M. Unakafov Germany 8 64 1.1× 32 0.6× 75 1.6× 12 0.5× 2 0.1× 9 260
Alessandro Muscoloni Germany 7 144 2.5× 50 0.9× 52 1.1× 16 0.7× 9 261
Robert Lothian United Kingdom 8 15 0.3× 143 2.7× 24 0.5× 6 0.3× 7 0.3× 19 279
Silke Dodel France 8 18 0.3× 20 0.4× 250 5.4× 92 3.8× 4 0.2× 14 307

Countries citing papers authored by Joshua Cape

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Cape

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Cape

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Cape. A scholar is included among the top collaborators of Joshua Cape 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 Joshua Cape. Joshua Cape 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.
Cape, Joshua, et al.. (2024). Classification of psychosis spectrum disorders using graph convolutional networks with structurally constrained functional connectomes. Neural Networks. 181. 106771–106771. 1 indexed citations
2.
Arroyo, Jesús, Avanti Athreya, Joshua Cape, et al.. (2024). Multiple network embedding for anomaly detection in time series of graphs. Computational Statistics & Data Analysis. 203. 108070–108070.
3.
Rubin, Jonathan E., et al.. (2023). Threshold Selection for Brain Connectomes. Brain Connectivity. 13(7). 383–393. 5 indexed citations
4.
Prasad, Konasale M., Jonathan E. Rubin, Satish Iyengar, & Joshua Cape. (2023). Global network disorganization underlying psychosis high risk states. Schizophrenia Research. 255. 67–68. 1 indexed citations
5.
6.
Mele, Angelo, et al.. (2022). On Spectral Algorithms for Community Detection in Stochastic Blockmodel Graphs With Vertex Covariates. IEEE Transactions on Network Science and Engineering. 9(5). 3373–3384. 6 indexed citations
7.
Cape, Joshua, et al.. (2022). Bayesian Sparse Spiked Covariance Model with a Continuous Matrix Shrinkage Prior. Bayesian Analysis. 17(4). 4 indexed citations
8.
Mele, Angelo, Lingxin Hao, Joshua Cape, & Carey E. Priebe. (2022). Spectral Estimation of Large Stochastic Blockmodels with Discrete Nodal Covariates. Journal of Business and Economic Statistics. 41(4). 1364–1376. 2 indexed citations
9.
Rubin‐Delanchy, Patrick, Joshua Cape, Minh Tang, & Carey E. Priebe. (2022). A Statistical Interpretation of Spectral Embedding: The Generalised Random Dot Product Graph. Journal of the Royal Statistical Society Series B (Statistical Methodology). 84(4). 1446–1473. 34 indexed citations
10.
Tang, Minh, Joshua Cape, & Carey E. Priebe. (2022). Asymptotically efficient estimators for stochastic blockmodels: The naive MLE, the rank-constrained MLE, and the spectral estimator. Bernoulli. 28(2). 9 indexed citations
11.
Prasad, Konasale M., et al.. (2021). Structural covariance networks in schizophrenia: A systematic review Part I. Schizophrenia Research. 240. 1–21. 18 indexed citations
12.
Prasad, Konasale M., et al.. (2021). Structural covariance networks in schizophrenia: A systematic review Part II. Schizophrenia Research. 239. 176–191. 14 indexed citations
13.
Athreya, Avanti, Joshua Cape, & Minh Tang. (2021). Eigenvalues of Stochastic Blockmodel Graphs and Random Graphs with Low-Rank Edge Probability Matrices. Sankhya A. 84(1). 36–63. 4 indexed citations
14.
Cape, Joshua. (2021). Spectral analysis of networks with latent space dynamics and signs. Stat. 10(1). 1 indexed citations
15.
Mele, Angelo, et al.. (2020). On identifying unobserved heterogeneity in stochastic blockmodel graphs with vertex covariates.. arXiv (Cornell University). 1 indexed citations
16.
Priebe, Carey E., Youngser Park, Joshua T Vogelstein, et al.. (2019). On a two-truths phenomenon in spectral graph clustering. Proceedings of the National Academy of Sciences. 116(13). 5995–6000. 33 indexed citations
17.
18.
Disselkoen, Craig, Kristin A. Koch, Joshua Cape, et al.. (2016). A Bayesian Framework for the Classification of Microbial Gene Activity States. Frontiers in Microbiology. 7. 1191–1191.
19.
Cape, Joshua, et al.. (2016). Symplectic reduction at zero angular momentum. The Journal of Geometric Mechanics. 8(1). 13–34. 3 indexed citations
20.
Cape, Joshua, et al.. (2014). Estimating Heston's and Bates’ models parameters using Markov chain Monte Carlo simulation. Journal of Statistical Computation and Simulation. 85(11). 2295–2314. 3 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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