L. Mark Berliner

4.4k citations
89 papers · 2.6k indexed · h-index 24

Impact in

Papers in

L. Mark Berliner

86 papers receiving 2.4k citations

Peers

L. Mark Berliner
Comparison fields: 5 of 172
  • Statistics and Probability 417
  • Environmental Engineering 573
  • Global and Planetary Change 803
  • Atmospheric Science 575
  • Statistics, Probability and Uncertainty 182
Replace Hans R. Künsch with:
Hans R. Künsch Switzerland
Donald E. Myers United States
Pierre Delfiner France
Montserrat Fuentes United States
Fadoua Balabdaoui France
Jean‐Paul Chilès France
Peter C. Young United Kingdom
Ana Ferreira Portugal
Holger Rootzén Sweden
James Pickands United States
L. Mark Berliner relative to Hans R. Künsch Switzerland Hans R. Künsch's profile →
Citations per field
00.5×1.5×
Hans R. Künsch · 1×
Citations per year

Countries citing papers authored by L. Mark Berliner

Since Specialization
Citations

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

Fields of papers citing papers by L. Mark Berliner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Mark Berliner. 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 L. Mark Berliner. The network helps show where L. Mark Berliner may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20230
3 20211
4 201834
5 201620
6 201414
7 20141
8 20113
9 20112
10 20053
11 200321
12 20025
13 19993
14 199478
15 199280
16 199142
17 19894
18 198823
19 19887
20
Computed tomography in Crohn's disease.
198234

About L. Mark Berliner

L. Mark Berliner is a scholar working on Statistics and Probability, Atmospheric Science, Global and Planetary Change, Statistics, Probability and Uncertainty and Environmental Engineering, having authored 89 papers that have together received 2.6k indexed citations. Recurring topics across this work include Climate variability and models (15 papers), Meteorological Phenomena and Simulations (13 papers), Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (9 papers), Soil Geostatistics and Mapping (7 papers), Bayesian Methods and Mixture Models (6 papers), Atmospheric and Environmental Gas Dynamics (6 papers) and Statistical Methods and Bayesian Inference (6 papers). The work is most often cited by research in Statistics and Probability (417 citations), Environmental Engineering (573 citations), Global and Planetary Change (803 citations), Atmospheric Science (575 citations) and Statistics, Probability and Uncertainty (182 citations). L. Mark Berliner has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Christopher K. Wikle, Noel Cressie, Ralph F. Milliff, James O. Berger, Steven N. MacEachern, Doug Nychka, Peter M. Lee, J. Andrew Royle, Richard A. Levine and Chris Snyder. Their work appears in journals such as Journal of the American Statistical Association, Technometrics, Journal of Climate, International Journal of Computer Assisted Radiology and Surgery and The Annals of Statistics.

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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