Tim J. Sullivan

1.7k citations
49 papers · 1.1k · h-index 12

Impact in

Papers in

Tim J. Sullivan

43 papers receiving 1k citations

Peers

Tim J. Sullivan
Comparison fields: 5 of 105
  • Statistics, Probability and Uncertainty 129
  • Computer Networks and Communications 330
  • Numerical Analysis 62
  • Statistical and Nonlinear Physics 81
  • Statistics and Probability 70
Replace Alexander Graham with:
Alexander Graham United Kingdom
Arnaud Guyader B France
Markus Hegland Australia
Kathryn Prewitt United States
Josef Leydold Austria
Tony Shardlow United Kingdom
Duncan J. Murdoch Canada
V. V. Fedorov United States
Stephen M. Samuels United States
Richard Simard Canada
Tim J. Sullivan relative to Alexander Graham United Kingdom Alexander Graham's profile →
Citations per field
00.5×2×3×4×4.6×
Alexander Graham · 1×
Citations per year

Countries citing papers authored by Tim J. Sullivan

Since Specialization
Citations

This map shows the geographic impact of Tim 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 Tim 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 Tim J. Sullivan more than expected).

Fields of papers citing papers by Tim J. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tim J. Sullivan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim J. Sullivan Line = papers co-authored together Tim J. Sullivan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015306
2 1996298
3 2011116
4 202134
5
Attribute-managed storage
199530
6 201329
7 201726
8 201723
9 201921
10 202019
11 201516
12 200315
13 200212
14
Cómo los juegos podrían salvar al mundo: ¿pueden los juegos colaborativos online generar un verdadero cambio social?
201112
15 201912
16 202112
17 202011
18 20159
19 20209
20 20217

About Tim J. Sullivan

Tim J. Sullivan is a scholar working on Statistics and Probability, Numerical Analysis, Mathematical Physics, Statistics, Probability and Uncertainty and Applied Mathematics, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (9 papers), Numerical methods in inverse problems (8 papers), Probability and Statistical Research (7 papers), Markov Chains and Monte Carlo Methods (6 papers), Probabilistic and Robust Engineering Design (6 papers), Numerical methods for differential equations (4 papers), Mathematical Approximation and Integration (3 papers) and Model Reduction and Neural Networks (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (129 citations), Computer Networks and Communications (330 citations), Numerical Analysis (62 citations), Statistical and Nonlinear Physics (81 citations) and Statistics and Probability (70 citations). Tim J. Sullivan has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Richard A. Golding, John Wilkes, Carl Staelin, Michael M. McKerns, Alta Fang, M. Aivazis, Chris J. Oates, Houman Owhadi, V. K. Tewary and Elizabeth Shriver. Their work appears in journals such as Statistics and Computing, Harvard business review, Inverse Problems, Electronic Communications in Probability and International Journal for Uncertainty Quantification.

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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