Brian Alan Johnson

7.8k citations
131 papers · 5.5k · 2 hit papers · h-index 35

Impact in

Papers in

Brian Alan Johnson

130 papers receiving 5.4k citations

Brian Alan Johnson's Hit Papers

Deep learning in remote sensing applications: A meta-analysis and review 2019 · 1.7k citations
1.7k0+2+4Years since publication50010001.5k

Peers

Brian Alan Johnson
Comparison fields: 5 of 175
  • Media Technology 1.6k
  • Environmental Engineering 1.3k
  • Global and Planetary Change 1.6k
  • Ecology 1.8k
  • Atmospheric Science 1.1k
Replace Daniel L. Civco with:
Daniel L. Civco United States
Lifu Zhang China
Dirk Tiede Austria
Timothy A. Warner United States
Yong Ge China
Bing Zhang China
Helmi Zulhaidi Mohd Shafri Malaysia
Mario Chica‐Olmo Spain
Feng Ling China
Le Wang United States
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Citations per field
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Citations per year

Countries citing papers authored by Brian Alan Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Brian Alan Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep learning in remote sensing applications: A meta-analysis and review
Hit paper breakdown →
20191659
2
Remote sensing algorithms for estimation of fractional vegetation cover using pure vegetation index values: A review
Hit paper breakdown →
2019312
3 2011274
4 2019172
5 2016122
6 2013111
7 201997
8 202084
9 202384
10 201580
11 201273
12 201861
13 201059
14 201358
15 201557
16 201255
17 202055
18 202254
19 201453
20 202252

About Brian Alan Johnson

Brian Alan Johnson is a scholar working on Global and Planetary Change, Ecology, Environmental Engineering, Media Technology and Atmospheric Science, having authored 131 papers that have together received 5.5k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (38 papers), Remote Sensing in Agriculture (30 papers), Remote-Sensing Image Classification (28 papers), Remote Sensing and Land Use (18 papers), Urban Heat Island Mitigation (11 papers), Advanced Image Fusion Techniques (10 papers), Flood Risk Assessment and Management (10 papers) and Hydrology and Watershed Management Studies (9 papers). The work is most often cited by research in Media Technology (1.6k citations), Environmental Engineering (1.3k citations), Global and Planetary Change (1.6k citations), Ecology (1.8k citations) and Atmospheric Science (1.1k citations). Brian Alan Johnson has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Lei Ma, Yü Liu, Xueliang Zhang, Gaofei Yin, Yuanxin Ye, Zhixiao Xie, Pankaj Kumar, Ryutaro Tateishi, Rajarshi Dasgupta and Shahab Jozdani. Their work appears in journals such as Remote Sensing, ISPRS International Journal of Geo-Information, Water, Journal of the American Chemical Society and ISPRS Journal of Photogrammetry and Remote Sensing.

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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