Gabriele Moser

283 total papers · 6.2k total citations
182 papers, 4.7k citations indexed

About

Gabriele Moser is a scholar working on Media Technology, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Gabriele Moser has authored 182 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Media Technology, 44 papers in Atmospheric Science and 43 papers in Artificial Intelligence. Recurrent topics in Gabriele Moser's work include Remote-Sensing Image Classification (112 papers), Remote Sensing and Land Use (35 papers) and Remote Sensing in Agriculture (31 papers). Gabriele Moser is often cited by papers focused on Remote-Sensing Image Classification (112 papers), Remote Sensing and Land Use (35 papers) and Remote Sensing in Agriculture (31 papers). Gabriele Moser collaborates with scholars based in Italy, France and Switzerland. Gabriele Moser's co-authors include Sebastiano B. Serpico, Josiane Zerubia, Devis Tuia, Jón Atli Benediktsson, Gustau Camps‐Valls, Luis Gómez‐Chova, Vladimir A. Krylov, Grégoire Mercier, Andrea Giorgi and Stian Normann Anfinsen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Gabriele Moser

172 papers receiving 4.5k citations

Hit Papers

Multimodal Classification... 2015 2026 2018 2022 2015 2018 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gabriele Moser 2.9k 1.5k 1.2k 882 783 182 4.7k
Sebastiano B. Serpico 3.6k 1.2× 1.9k 1.3× 1.3k 1.1× 1.2k 1.4× 879 1.1× 218 5.4k
Chen Wu 2.6k 0.9× 1.7k 1.2× 1.7k 1.4× 869 1.0× 418 0.5× 162 5.1k
Lichao Mou 3.8k 1.3× 2.1k 1.4× 2.2k 1.9× 1.1k 1.3× 629 0.8× 127 6.6k
Allan Aasbjerg Nielsen 2.1k 0.7× 1.3k 0.9× 527 0.4× 1.2k 1.4× 868 1.1× 124 3.9k
Sicong Liu 3.0k 1.0× 1.9k 1.3× 939 0.8× 1.2k 1.4× 337 0.4× 178 4.8k
Ying Li 2.9k 1.0× 1.4k 1.0× 2.1k 1.8× 686 0.8× 391 0.5× 255 5.8k
Melba M. Crawford 3.5k 1.2× 1.9k 1.3× 1.8k 1.5× 1.0k 1.1× 374 0.5× 183 5.8k
Yakoub Bazi 2.6k 0.9× 1.3k 0.9× 2.1k 1.8× 848 1.0× 497 0.6× 149 6.7k
Akira Iwasaki 1.9k 0.6× 918 0.6× 1.0k 0.9× 531 0.6× 688 0.9× 134 4.1k
Robert A. Schowengerdt 1.6k 0.6× 744 0.5× 1.0k 0.9× 1.2k 1.3× 548 0.7× 83 4.3k

Countries citing papers authored by Gabriele Moser

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Moser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Moser

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Moser. A scholar is included among the top collaborators of Gabriele Moser based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabriele Moser. Gabriele Moser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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