Sérgio Bernardes

791 citations
30 papers · 565 · h-index 11

Impact in

Papers in

Sérgio Bernardes

27 papers receiving 542 citations

Peers

Sérgio Bernardes
Comparison fields: 5 of 91
  • Human-Computer Interaction 89
  • Global and Planetary Change 201
  • Atmospheric Science 94
  • Environmental Engineering 71
  • Computer Vision and Pattern Recognition 97
Replace Tapani Sarjakoski with:
Tapani Sarjakoski Finland
Rainer Ressl Mexico
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İsmail Rakıp Karaş Türkiye
Qiu Shen China
Gary Priestnall United Kingdom
Feng Tian China
Jun‐Hak Lee South Korea
Liping Yang United States
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Citations per field
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Citations per year

Countries citing papers authored by Sérgio Bernardes

Since Specialization
Citations

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

Fields of papers citing papers by Sérgio Bernardes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020181
2 201184
3 201361
4 202140
5 201525
6 201821
7 201417
8 200816
9 202015
10 201212
11 201212
12 201510
13 20149
14 20159
15 20159
16 20158
17 20147
18 20186
19 20165
20
ESTIMATING TYPICAL FOUR-SEASON THERMAL DISTRIBUTION AND SELF- ADAPTIVE GRADIENT BASED THRESHOLDING PARAMETERS OVER COAL FIRE AREAS IN CHINA USING ASTER AND LDCM TIRS -A CASE STUDY IN THE WUDA COAL FIELD, CHINA
20144

About Sérgio Bernardes

Sérgio Bernardes is a scholar working on Ecology, Environmental Engineering, Global and Planetary Change, Atmospheric Science and Geochemistry and Petrology, having authored 30 papers that have together received 565 indexed citations. Recurring topics across this work include Urban Heat Island Mitigation (5 papers), Remote Sensing in Agriculture (4 papers), Species Distribution and Climate Change (4 papers), Remote-Sensing Image Classification (4 papers), Karst Systems and Hydrogeology (4 papers), Primate Behavior and Ecology (4 papers), Coal Properties and Utilization (3 papers) and Wildlife Ecology and Conservation (3 papers). The work is most often cited by research in Human-Computer Interaction (89 citations), Global and Planetary Change (201 citations), Atmospheric Science (94 citations), Environmental Engineering (71 citations) and Computer Vision and Pattern Recognition (97 citations). Sérgio Bernardes has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Marguerite Madden, Ian Lochhead, Zdeněk Stachoň, Oliver Lock, Sidonie Christophe, Alexandre Devaux, Arzu Çöltekin, Lukáš Heřman, Dajana Snopková and Changying Li. Their work appears in journals such as Remote Sensing, Urban Climate, Animal Behaviour, International Journal of Applied Earth Observation and Geoinformation and ISPRS International Journal of Geo-Information.

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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