Tim Davis

627 citations
12 papers · 230 · h-index 6

Impact in

Papers in

Tim Davis

12 papers receiving 197 citations

Peers

Tim Davis
Comparison fields: 5 of 78
  • Statistics, Probability and Uncertainty 43
  • Management Science and Operations Research 48
  • Statistics and Probability 21
  • Industrial and Manufacturing Engineering 25
  • Software 9
Replace Limin Jia with:
Limin Jia China
Maurice Pillet France
F. Rivas-Dávalos Mexico
Max B. Mendel United States
H. A. David Germany
Changhyun Kim South Korea
Alan J. Stolzer United States
Thomas J. Davis United States
Johan F. Kaashoek Netherlands
Yujia Deng China
Tim Davis relative to Limin Jia China Limin Jia's profile →
Citations per field
00.5×
Limin Jia · 1×
Citations per year

Countries citing papers authored by Tim Davis

Since Specialization
Citations

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

Fields of papers citing papers by Tim Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Tim Davis, 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 Davis Line = papers co-authored together Tim Davis links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 199386
2
Divine Images: A History of Jesus on the Screen
199248
3 201434
4 200633
5 20048
6 20136
7 20155
8 20044
9 19993
10 19991
11 20061
12 20131

About Tim Davis

Tim Davis is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty, Statistics and Probability, Environmental Engineering and Molecular Biology, having authored 12 papers that have together received 230 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (4 papers), Soil Geostatistics and Mapping (2 papers), Advanced Statistical Process Monitoring (2 papers), Advanced Statistical Methods and Models (2 papers), Statistics Education and Methodologies (1 paper), demographic modeling and climate adaptation (1 paper), Risk and Safety Analysis (1 paper) and Disaster Response and Management (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (43 citations), Management Science and Operations Research (48 citations), Statistics and Probability (21 citations), Industrial and Manufacturing Engineering (25 citations) and Software (9 citations). Tim Davis has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael S. Saccucci, Dennis K. J. Lin, Christopher J. Nachtsheim, Jeff Jones, John B. Henry, Aaron Kite-Powell, Wayne Loschen, Douglas Char, Janet Hamilton and Larry Li. Their work appears in journals such as Technometrics, Journal of Quality Technology, Applied Stochastic Models in Business and Industry, SAE technical papers on CD-ROM/SAE technical paper series and Corporate Environmental Strategy.

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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