Anastasios Doulamis

80 papers receiving 1.2k citations

Hit Papers

Interpretable Deep Learning Framework for Land Use and Land Cover Classification in Remote Sensing Using SHAP 2023 · 101 citations
1010+1+2Years since publication255075100

Peers

Anastasios Doulamis
Comparison fields: 5 of 117
  • Geology 149
  • Computational Mathematics 14
  • Space and Planetary Science 27
  • Computer Vision and Pattern Recognition 399
  • Media Technology 99
Replace Konstantinos Makantasis with:
Konstantinos Makantasis Greece
Ard Oerlemans Netherlands
Falko Kuester United States
Dongming Lu China
Alain Trémeau France
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Citations per year

Countries citing papers authored by Anastasios Doulamis

Since Specialization
Citations

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

Fields of papers citing papers by Anastasios Doulamis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020133
2
Interpretable Deep Learning Framework for Land Use and Land Cover Classification in Remote Sensing Using SHAP
Hit paper breakdown →
2023101
3 199893
4 202248
5 200145
6 202242
7 202241
8 201440
9 201739
10 202038
11 200337
12 202137
13 202136
14 201534
15 201833
16 201332
17 201625
18 201525
19 199824
20 202322

About Anastasios Doulamis

Anastasios Doulamis is a scholar working on Computer Vision and Pattern Recognition, Geology, Media Technology, Global and Planetary Change and Civil and Structural Engineering, having authored 87 papers that have together received 1.3k indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (19 papers), Advanced Image and Video Retrieval Techniques (17 papers), Advanced Vision and Imaging (10 papers), Remote-Sensing Image Classification (7 papers), Precipitation Measurement and Analysis (6 papers), Video Surveillance and Tracking Methods (6 papers), Video Analysis and Summarization (6 papers) and Meteorological Phenomena and Simulations (6 papers). The work is most often cited by research in Geology (149 citations), Computational Mathematics (14 citations), Space and Planetary Science (27 citations), Computer Vision and Pattern Recognition (399 citations) and Media Technology (99 citations). Anastasios Doulamis has collaborated with scholars based in Greece, Cyprus and Germany. Frequent co-authors include Nikolaos Doulamis, Athanasios Voulodimos, Maria Kaselimi, Eftychios Protopapadakis, Stefanos Kollias, Konstantinos Makantasis, Dimitris Kalogeras, Nikos Temenos, Iason Katsamenis and Klimis Ntalianis. Their work appears in journals such as Sensors, IEEE Access, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Geoscience and Remote Sensing Letters and IEEE Transactions on Consumer Electronics.

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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