Joshua Cape
- Statistical and Nonlinear Physics top 10%
- Artificial Intelligence
- Cognitive Neuroscience
- Radiology, Nuclear Medicine and Imaging
- Statistics and Probability top 10%
- Co-authors
- Carey E. PriebeMinh TangNathan TintlePatrick Rubin‐DelanchyAvanti AthreyaJonathan E. RubinKonasale M. PrasadSatish Iyengar
- Topics
- Functional Brain Connectivity Studies (8 papers)Complex Network Analysis Techniques (7 papers)Advanced Neuroimaging Techniques and Applications (5 papers)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Joshua Cape
18 papers receiving 173 citations
Peers
Comparison fields: 5 of 72
- Statistical and Nonlinear Physics 58
- Artificial Intelligence 53
- Cognitive Neuroscience 46
- Radiology, Nuclear Medicine and Imaging 24
- Statistics and Probability 21
Countries citing papers authored by Joshua Cape
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 34 | |
| 10 | 9 | |
| 11 | 18 | |
| 12 | 14 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | On identifying unobserved heterogeneity in stochastic blockmodel graphs with vertex covariates. | 1 |
| 16 | 33 | |
| 17 | 30 | |
| 18 | 0 | |
| 19 | 3 | |
| 20 | 3 |
About Joshua Cape
Joshua Cape is a scholar working on Statistics and Probability, Statistical and Nonlinear Physics and Cognitive Neuroscience, having authored 21 papers that have together received 175 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), Complex Network Analysis Techniques (7 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (58 citations), Statistics and Probability (21 citations) and Cognitive Neuroscience (46 citations). Joshua Cape has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biometrika and Frontiers in Microbiology.
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.