Tim Hesterberg

4.4k citations
31 papers · 3.2k · 2 hit papers · h-index 17

Impact in

Papers in

Tim Hesterberg

30 papers receiving 3.1k citations

Tim Hesterberg's Hit Papers

Monte Carlo Strategies in Scientific Computing 2002 · 1.2k citations
1.2k0+12+24Years since publication4008001.2k

Peers

Tim Hesterberg
Comparison fields: 5 of 191
  • Statistics and Probability 656
  • Management Science and Operations Research 555
  • Statistics, Probability and Uncertainty 282
  • Artificial Intelligence 842
  • Environmental Engineering 256
Replace James E. Gentle with:
James E. Gentle United States
Alan Julian Izenman United States
M. Johnson United States
George Casella United States
Genshiro Kitagawa Japan
J. K. Ord United States
Yuhong Yang United States
Debashis Kushary United States
John F. Monahan United States
Linda Kaufman United States
Tim Hesterberg relative to James E. Gentle United States James E. Gentle's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tim Hesterberg

Since Specialization
Citations

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

Fields of papers citing papers by Tim Hesterberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Tim Hesterberg, 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 Hesterberg Line = papers co-authored together Tim Hesterberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Monte Carlo Strategies in Scientific Computing
Hit paper breakdown →
20021201
2
A regression-based approach to short-term system load forecasting
Hit paper breakdown →
1990706
3 2015230
4 1995206
5 2011205
6 1997107
7 199881
8 200076
9 200470
10 201058
11
Analyzing data with missing values in S-PLUS
200149
12 199548
13 201845
14 199437
15 200332
16 200926
17 199616
18 199614
19
It's Time To Retire the "n >= 30" rule.
200810
20 19957

About Tim Hesterberg

Tim Hesterberg is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Management Science and Operations Research and Civil and Structural Engineering, having authored 31 papers that have together received 3.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (6 papers), Advanced Statistical Methods and Models (5 papers), Bayesian Methods and Mixture Models (4 papers), Statistical Distribution Estimation and Applications (3 papers), Probabilistic and Robust Engineering Design (3 papers), Advanced Statistical Process Monitoring (3 papers), Consumer Market Behavior and Pricing (2 papers) and Energy Load and Power Forecasting (2 papers). The work is most often cited by research in Statistics and Probability (656 citations), Management Science and Operations Research (555 citations), Statistics, Probability and Uncertainty (282 citations), Artificial Intelligence (842 citations) and Environmental Engineering (256 citations). Tim Hesterberg has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include A. Papalexopoulos, Phillip I. Good, Dongsheng Tu, Jun Shao, Laura M. Chihara, Dorothy J. Merritts, Kim‐Anh Do, Peter Hall, Edward Carlstein and Hans R. Künsch. Their work appears in journals such as Technometrics, Journal of Computational and Graphical Statistics, The American Statistician, Mathematical and Computer Modelling and Bernoulli.

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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