Brian Brisco

11.9k citations
196 papers · 9.0k · 4 hit papers · h-index 51

Impact in

Papers in

Brian Brisco

186 papers receiving 8.6k citations

Brian Brisco's Hit Papers

Google Earth Engine for geo-big data applications: A meta-analysis and systematic review 2020 · 900 citations
9000+13+26Years since publication250500750

Peers

Brian Brisco
Comparison fields: 5 of 137
  • Environmental Engineering 3.8k
  • Global and Planetary Change 3.7k
  • Ecology 3.7k
  • Media Technology 1.2k
  • Atmospheric Science 2.2k
Replace Brian L. Markham with:
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Citations per field
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Citations per year

Countries citing papers authored by Brian Brisco

Since Specialization
Citations

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

Fields of papers citing papers by Brian Brisco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 196 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Google Earth Engine for geo-big data applications: A meta-analysis and systematic review
Hit paper breakdown →
2020900
2
Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review
Hit paper breakdown →
2020744
3
Textural Infornation in SAR Images
Hit paper breakdown →
1986453
4
Remote sensing for wetland classification: a comprehensive review
Hit paper breakdown →
2017290
5 2001283
6 2004268
7 2010230
8 2015182
9 2019159
10 2019147
11 2011136
12 2020122
13 2011119
14 1998111
15 2018109
16 2020107
17 2013101
18 202095
19 201194
20 200993

About Brian Brisco

Brian Brisco is a scholar working on Environmental Engineering, Aerospace Engineering, Global and Planetary Change, Ecology and Atmospheric Science, having authored 196 papers that have together received 9.0k indexed citations. Recurring topics across this work include Synthetic Aperture Radar (SAR) Applications and Techniques (79 papers), Soil Moisture and Remote Sensing (65 papers), Flood Risk Assessment and Management (55 papers), Remote Sensing and LiDAR Applications (45 papers), Remote Sensing in Agriculture (30 papers), Soil erosion and sediment transport (23 papers), Soil Geostatistics and Mapping (22 papers) and Land Use and Ecosystem Services (19 papers). The work is most often cited by research in Environmental Engineering (3.8k citations), Global and Planetary Change (3.7k citations), Ecology (3.7k citations), Media Technology (1.2k citations) and Atmospheric Science (2.2k citations). Brian Brisco has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Bahram Salehi, Masoud Mahdianpari, Meisam Amani, Sahel Mahdavi, Heather McNairn, Fariba Mohammadimanesh, Jean Granger, Lindi J. Quackenbush, Haifa Tamiminia and Sarina Adeli. Their work appears in journals such as Canadian Journal of Remote Sensing, Remote Sensing, Remote Sensing of Environment, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and International Journal of Applied Earth Observation and Geoinformation.

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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