Daniel Sousa

824 citations
54 papers · 482 · h-index 14

Impact in

Papers in

Daniel Sousa

41 papers receiving 476 citations

Peers

Daniel Sousa
Comparison fields: 5 of 84
  • Global and Planetary Change 237
  • Media Technology 96
  • Ecology 224
  • Environmental Engineering 83
  • Ecological Modeling 24
Replace Salvatore Praticò with:
Salvatore Praticò Italy
Beth Cole United Kingdom
Akash Anand India
Lukas Blickensdörfer Germany
Wolter Arnberg Sweden
Mu Xia China
Yuanyong Dian China
Yongfa You China
Rutherford V. Platt United States
Yaotong Cai China
Daniel Sousa relative to Salvatore Praticò Italy Salvatore Praticò's profile →
Citations per field
00.5×5.3×
Salvatore Praticò · 1×
Citations per year

Countries citing papers authored by Daniel Sousa

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sousa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202144
2 201844
3 201643
4 202223
5 201923
6 201823
7 202120
8 201920
9 202015
10 202314
11 202114
12 202113
13 202213
14 202213
15 202312
16 201912
17 202111
18 202310
19 202310
20 20239

About Daniel Sousa

Daniel Sousa is a scholar working on Ecology, Global and Planetary Change, Media Technology, Environmental Engineering and Artificial Intelligence, having authored 54 papers that have together received 482 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (21 papers), Remote-Sensing Image Classification (17 papers), Land Use and Ecosystem Services (12 papers), Spectroscopy and Chemometric Analyses (6 papers), Geochemistry and Geologic Mapping (6 papers), Remote Sensing and LiDAR Applications (5 papers), Species Distribution and Climate Change (4 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). The work is most often cited by research in Global and Planetary Change (237 citations), Media Technology (96 citations), Ecology (224 citations), Environmental Engineering (83 citations) and Ecological Modeling (24 citations). Daniel Sousa has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Christopher Small, Christopher D. Elvidge, Gregory Yetman, Kytt MacManus, Frank W. Davis, Ashley Larsen, Ryan Pavlick, Joshua B. Fisher, Amy Quandt and Jean‐Luc Widlowski. Their work appears in journals such as Remote Sensing, Environmental Research Letters, Remote Sensing of Environment, Sensors and Journal of Geophysical Research Biogeosciences.

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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