Timothy J. Robinson

70 papers receiving 1.9k citations

Hit Papers

Multilevel Analysis: Techniques and Applications20032026201020182003250500750

Peers

Timothy J. Robinson
Comparison fields: 5 of 197
  • Management Science and Operations Research 442
  • Computational Theory and Mathematics 294
  • Statistics, Probability and Uncertainty 273
  • Statistics and Probability 196
  • Social Psychology 172
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John P. Morgan United States
Ralph C. St. John United States
J. Brian Gray United States
Yulia R. Gel United States
Youngjo Lee South Korea
Kinley Larntz United States
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Citations per field
00.5×2.9×
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Citations per year

Countries citing papers authored by Timothy J. Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Timothy J. Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy J. Robinson

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy J. Robinson. A scholar is included among the top collaborators of Timothy J. Robinson 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 Timothy J. Robinson. Timothy J. Robinson 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
#WorkIndexed citations
1 0
2 18
3 5
4 5
5 6
6 7
7 4
8 8
9 12
10 5
11
Monitoring Surface Stability of Remediated Sinkholes in Western Central Florida using PSInSAR Technique and Sentinel-1 Observations
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12 6
13 11
14 17
15 18
16 13
17 48
18 1
19 19
20 45

About Timothy J. Robinson

Timothy J. Robinson is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 78 papers that have together received 2.0k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (29 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Advanced Statistical Methods and Models (13 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (273 citations), Management Science and Operations Research (442 citations) and Statistics and Probability (196 citations). Timothy J. Robinson has collaborated with scholars based in United States, New Zealand and Sri Lanka. Frequent co-authors include Raymond H. Myers, Christine M. Anderson‐Cook, Connie M. Borror, Erik Pulkstenis, Byran J. Smucker, G. Geoffrey Vining, Shaun S. Wulff, Douglas C. Montgomery, Jeffrey B. Birch and Lu Lu. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE and The Science of The Total Environment.

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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