Mark Berman

70 papers receiving 4.1k citations

Mark Berman's Hit Papers

A transformation for ordering multispectral data in terms of image quality with implications for noise removal 1988 · 2.2k citations
2.2k0+12+25Years since publication50010001.5k2.0k

Peers

Mark Berman
Comparison fields: 5 of 152
  • Media Technology 2.1k
  • Analytical Chemistry 559
  • Environmental Engineering 712
  • Atmospheric Science 814
  • Ecology 890
Replace Allan Aasbjerg Nielsen with:
Allan Aasbjerg Nielsen Denmark
Maurice Craig Australia
Sebastiano B. Serpico Italy
Paul Gader United States
Melba M. Crawford United States
John A. Richards Australia
Paul Scheunders Belgium
P. H. Swain United States
Robert A. Schowengerdt United States
Alina Zare United States
Mark Berman relative to Allan Aasbjerg Nielsen Denmark Allan Aasbjerg Nielsen's profile →
Citations per field
00.5×1.6×
Allan Aasbjerg Nielsen · 1×
Citations per year

Countries citing papers authored by Mark Berman

Since Specialization
Citations

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

Fields of papers citing papers by Mark Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A transformation for ordering multispectral data in terms of image quality with implications for noise removal
Hit paper breakdown →
19882192
2 1990346
3 2004323
4 1992201
5 1989147
6 198683
7 201676
8 198171
9 200363
10 200761
11 201060
12 200660
13 200255
14 200351
15 198648
16 197741
17 199433
18 198929
19 198329
20
Automated mineralogical core logging at the Emmie Bluff iron oxide - copper-gold prospect
200626

About Mark Berman

Mark Berman is a scholar working on Artificial Intelligence, Media Technology, Applied Mathematics, Environmental Engineering and Analytical Chemistry, having authored 72 papers that have together received 4.4k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (16 papers), Geochemistry and Geologic Mapping (15 papers), Point processes and geometric inequalities (13 papers), Spectroscopy and Chemometric Analyses (11 papers), Soil Geostatistics and Mapping (8 papers), Advanced Statistical Process Monitoring (6 papers), Advanced Statistical Methods and Models (6 papers) and Advanced Image Fusion Techniques (5 papers). The work is most often cited by research in Media Technology (2.1k citations), Analytical Chemistry (559 citations), Environmental Engineering (712 citations), Atmospheric Science (814 citations) and Ecology (890 citations). Mark Berman has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Maurice Craig, Paul Switzer, Tracey R. Turner, Peter J. Diggle, Ryan Lagerstrom, J.F. Huntington, Robert Dunne, Harri Kiiveri, Andreas Ernst and G. K. Eagleson. Their work appears in journals such as Journal of Applied Probability, Advances in Applied Probability, IEEE Transactions on Geoscience and Remote Sensing, Journal of the Royal Statistical Society Series C (Applied Statistics) and Biometrika.

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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