John Mandel

57 papers receiving 2.7k citations

John Mandel's Hit Papers

The Harmonized Landsat and Sentinel-2 version 2.0 surface reflectance dataset 2025 · 21 citations
210+20+40Years since publication200400600

Peers

John Mandel
Comparison fields: 5 of 196
  • Statistics and Probability 551
  • Computational Mathematics 30
  • Statistics, Probability and Uncertainty 301
  • Analytical Chemistry 330
  • Food Science 286
Replace Herbert Smith with:
Herbert Smith United States
Brian D. Marx United States
Ib M. Skovgaard Denmark
S. Kocherlakota Canada
Alexander J. Collins United Kingdom
Peter D. Wentzell Canada
Sijmen de Jong Netherlands
William J. Dunn United States
Stefan D. Leigh United States
José Ferreira de Carvalho Brazil
John Mandel relative to Herbert Smith United States Herbert Smith's profile →
Citations per field
00.5×11.4×
Herbert Smith · 1×
Citations per year

Countries citing papers authored by John Mandel

Since Specialization
Citations

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

Fields of papers citing papers by John Mandel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Mandel, 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 John Mandel Line = papers co-authored together John Mandel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Statistical Analysis of Experimental Data
Hit paper breakdown →
1966680
2 1966314
3 1971256
4 1982190
5 1961183
6 2014180
7 1972167
8 1974160
9 1969125
10 198490
11 197176
12 197074
13 197268
14 198257
15 199241
16 199140
17 195739
18 196133
19 195925
20
The Harmonized Landsat and Sentinel-2 version 2.0 surface reflectance dataset
Hit paper breakdown →
202521

About John Mandel

John Mandel is a scholar working on Statistics and Probability, Analytical Chemistry, Management Science and Operations Research, Statistics, Probability and Uncertainty and Computational Theory and Mathematics, having authored 57 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (11 papers), Spectroscopy and Chemometric Analyses (7 papers), Optimal Experimental Design Methods (5 papers), Scientific Measurement and Uncertainty Evaluation (4 papers), Blind Source Separation Techniques (3 papers), Statistical and numerical algorithms (3 papers), Analytical Chemistry and Chromatography (3 papers) and Advanced Manufacturing and Logistics Optimization (2 papers). The work is most often cited by research in Statistics and Probability (551 citations), Computational Mathematics (30 citations), Statistics, Probability and Uncertainty (301 citations), Analytical Chemistry (330 citations) and Food Science (286 citations). John Mandel has collaborated with scholars based in United States, Egypt and France. Frequent co-authors include J. Edward Jackson, Fred S. Wood, O. L. Davies, P. L. Goldsmith, John R. Schott, Monica Cook, Nina Raqueño, Robert C Paule, James R. Matey and J. E. Mansfield. Their work appears in journals such as Technometrics, Journal of the American Statistical Association, Journal of Quality Technology, Analytical Chemistry and The American Statistician.

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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