T. J. Sullivan

1.2k total citations
24 papers, 672 citations indexed

About

T. J. Sullivan is a scholar working on Artificial Intelligence, Statistics and Probability and Statistics, Probability and Uncertainty. According to data from OpenAlex, T. J. Sullivan has authored 24 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in T. J. Sullivan's work include Statistical Methods and Inference (7 papers), Probabilistic and Robust Engineering Design (6 papers) and Markov Chains and Monte Carlo Methods (5 papers). T. J. Sullivan is often cited by papers focused on Statistical Methods and Inference (7 papers), Probabilistic and Robust Engineering Design (6 papers) and Markov Chains and Monte Carlo Methods (5 papers). T. J. Sullivan collaborates with scholars based in United Kingdom, Germany and United States. T. J. Sullivan's co-authors include Carl Staelin, Richard Golding, John Wilkes, Samuel Naffziger, T. Grutkowski, Chris J. Oates, V. K. Tewary, An Luo, Ingmar Schuster and John Wilkes and has published in prestigious journals such as Physical Review B, IEEE Journal of Solid-State Circuits and SIAM Journal on Scientific Computing.

In The Last Decade

T. J. Sullivan

24 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. J. Sullivan United Kingdom 11 147 144 139 103 77 24 672
Avinash Malik New Zealand 13 105 0.7× 42 0.3× 34 0.2× 192 1.9× 55 0.7× 74 720
Yong Lee Japan 17 118 0.8× 626 4.3× 19 0.1× 38 0.4× 136 1.8× 98 1.4k
Rajan Srinivasan Netherlands 9 79 0.5× 87 0.6× 49 0.4× 9 0.1× 86 1.1× 30 373
Chris Phillips United Kingdom 11 46 0.3× 46 0.3× 19 0.1× 29 0.3× 55 0.7× 41 495
Vlastimil Havran Czechia 18 52 0.4× 24 0.2× 33 0.2× 31 0.3× 51 0.7× 81 1.1k
James Taylor Canada 20 114 0.8× 127 0.9× 25 0.2× 26 0.3× 174 2.3× 132 1.3k
Terrence J. Moore United States 16 444 3.0× 287 2.0× 8 0.1× 18 0.2× 163 2.1× 68 956
Rajarshi Mukherjee United States 19 102 0.7× 675 4.7× 8 0.1× 412 4.0× 64 0.8× 80 1.1k
Donatello Materassi United States 12 103 0.7× 60 0.4× 26 0.2× 5 0.0× 158 2.1× 68 628
S. Saito Japan 6 157 1.1× 242 1.7× 24 0.2× 42 0.4× 81 1.1× 15 849

Countries citing papers authored by T. J. Sullivan

Since Specialization
Citations

This map shows the geographic impact of T. J. Sullivan'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 T. J. Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. J. Sullivan more than expected).

Fields of papers citing papers by T. J. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. J. Sullivan. 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 T. J. Sullivan. The network helps show where T. J. Sullivan may publish in the future.

Co-authorship network of co-authors of T. J. Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of T. J. Sullivan. A scholar is included among the top collaborators of T. J. Sullivan 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 T. J. Sullivan. T. J. Sullivan 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.
Matsumoto, Tadashi & T. J. Sullivan. (2024). Images of Gaussian and other stochastic processes under closed, densely-defined, unbounded linear operators. Analysis and Applications. 22(3). 619–633. 1 indexed citations
2.
Rudolf, Daniel, et al.. (2023). Dimension‐independent Markov chain Monte Carlo on the sphere. Scandinavian Journal of Statistics. 50(4). 1818–1858. 3 indexed citations
3.
Sullivan, T. J., et al.. (2023). An Order-Theoretic Perspective on Modes and Maximum A Posteriori Estimation in Bayesian Inverse Problems. SIAM/ASA Journal on Uncertainty Quantification. 11(4). 1195–1224. 3 indexed citations
4.
Tamborrino, Massimiliano, et al.. (2023). Error Bound Analysis of the Stochastic Parareal Algorithm. SIAM Journal on Scientific Computing. 45(5). A2657–A2678. 1 indexed citations
5.
Sullivan, T. J., et al.. (2021). Γ -convergence of Onsager–Machlup functionals: I. With applications to maximum a posteriori estimation in Bayesian inverse problems. Inverse Problems. 38(2). 25005–25005. 10 indexed citations
6.
Sullivan, T. J., et al.. (2021). Γ-convergence of Onsager–Machlup functionals: II. Infinite product measures on Banach spaces. Inverse Problems. 38(2). 25006–25006. 6 indexed citations
7.
Hege, Hans‐Christian, et al.. (2020). Geodesic Analysis in Kendall’s Shape Space with Epidemiological Applications. Refubium (Universitätsbibliothek der Freien Universität Berlin). 8 indexed citations
8.
Schuster, Ingmar, et al.. (2020). A Rigorous Theory of Conditional Mean Embeddings. SIAM Journal on Mathematics of Data Science. 2(3). 583–606. 14 indexed citations
9.
Oates, Chris J. & T. J. Sullivan. (2019). A modern retrospective on probabilistic numerics. Newcastle University ePrints (Newcastle Univesity). 16 indexed citations
10.
Stuart, Andrew M., et al.. (2019). Strong convergence rates of probabilistic integrators for ordinary differential equations. Statistics and Computing. 29(6). 1265–1283. 7 indexed citations
11.
Hege, Hans‐Christian, et al.. (2018). A Shape Trajectories Approach to Longitudinal Statistical Analysis. 1 indexed citations
12.
Sullivan, T. J., et al.. (2018). Quasi-invariance of countable products of Cauchy measures under non-unitary dilations. Electronic Communications in Probability. 23(none). 2 indexed citations
13.
Sullivan, T. J.. (2017). Well‐posedness of Bayesian inverse problems in quasi‐Banach spaces with stable priors. PAMM. 17(1). 871–874. 3 indexed citations
14.
Sullivan, T. J.. (2015). Introduction to Uncertainty Quantification. CERN Document Server (European Organization for Nuclear Research). 237 indexed citations
15.
Sullivan, T. J., Michael McKerns, M. Ortíz, Houman Owhadi, & Clint Scovel. (2013). Optimal Uncertainty Quantification: Distributional Robustness Versus Bayesian Brittleness. Journal of Medical Devices. 7(4). 1 indexed citations
16.
Luo, An, et al.. (2012). Removal of blink artifacts in single channel EEG. PubMed. 2012. 3511–3514. 20 indexed citations
17.
Naffziger, Samuel, et al.. (2002). The implementation of the Itanium 2 microprocessor. IEEE Journal of Solid-State Circuits. 37(11). 1448–1460. 139 indexed citations
18.
Sullivan, T. J., et al.. (2000). NAGPRA: Effective Repatriation Programs and Cultural Change in Museums. Curator The Museum Journal. 43(3). 231–260. 8 indexed citations
19.
Wilkes, John, Richard Golding, Carl Staelin, & T. J. Sullivan. (1995). The HP AutoRAID hierarchical storage system. ACM SIGOPS Operating Systems Review. 29(5). 96–108. 13 indexed citations
20.
Wilkes, John, Richard Golding, Carl Staelin, & T. J. Sullivan. (1995). The HP AutoRAID hierarchical storage system. 96–108. 103 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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