Alan Beccati
Impact in
- Ecology top 10%
- Microbial Community Ecology and Physiology
- Environmental DNA in Biodiversity Studies
- Environmental Chemistry top 10%
- Methane Hydrates and Related Phenomena
Papers in
-
- Remote-Sensing Image Classification 2
- Co-authors
- Christian QuastFrank Oliver GlöcknerPelin YilmazJan GerkenWolfgang LudwigPablo YarzaJörg PepliesRalf Westram
- Journals
- Journal of Biotechnology (1 paper)BMC Bioinformatics (1 paper)SHILAP Revista de lepidopterología (1 paper)EGUGA (2 papers)Institutional Research Information System University of Ferrara (University of Ferrara) (3 papers)
In The Last Decade
Alan Beccati
9 papers receiving 668 citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Ecology 256
- Environmental Chemistry 58
- Biological Psychiatry 13
- Pollution 56
- Molecular Biology 294
Countries citing papers authored by Alan Beccati
This map shows the geographic impact of Alan Beccati'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 Alan Beccati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Beccati more than expected).
Fields of papers citing papers by Alan Beccati
This network shows the impact of papers produced by Alan Beccati. 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 Alan Beccati. The network helps show where Alan Beccati may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Alan Beccati, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 27 | |
| 2 | 25 years of serving the community with ribosomal RNA gene reference databases and tools Hit paper breakdown → | 2017 | 632 |
| 3 | PlanetServer/EarthServer: Big Data analytics in Planetary Science | 2014 | 1 |
| 4 | MARSIS data and simulation exploited using array databases: PlanetServer/EarthServer for sounding radars | 2014 | 3 |
| 5 | 2014 | 1 | |
| 6 | 2013 | 4 | |
| 7 | 2011 | 6 | |
| 8 | Multi Sensor Evolution Analysis (MEA): Land Use and Land Cover Analysis Applied to (A)ATSR Time Series | 2010 | 1 |
| 9 | THE MULTI-SENSOR LAND CLASSIFICATION SYSTEM LCS: AUTOMATIC MULTITEMPORAL LAND USE CLASSIFICATION SYSTEM FOR MULTI-RESOLUTION DATA | 2010 | 1 |
About Alan Beccati
Alan Beccati is a scholar working on Ecological Modeling, Media Technology, Signal Processing, Geography, Planning and Development and Information Systems and Management, having authored 9 papers that have together received 676 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (2 papers), Remote Sensing and Land Use (2 papers), Geochemistry and Geologic Mapping (2 papers), Data Management and Algorithms (2 papers), Genomics and Phylogenetic Studies (2 papers), Remote-Sensing Image Classification (2 papers), Big Data and Business Intelligence (1 paper) and Microbial Community Ecology and Physiology (1 paper). The work is most often cited by research in Ecology (256 citations), Environmental Chemistry (58 citations), Biological Psychiatry (13 citations), Pollution (56 citations) and Molecular Biology (294 citations). Alan Beccati has collaborated with scholars based in Germany and Italy. Frequent co-authors include Christian Quast, Frank Oliver Glöckner, Pelin Yilmaz, Jan Gerken, Wolfgang Ludwig, Pablo Yarza, Jörg Peplies, Ralf Westram, Peter Baumann and S. Natali. Their work appears in journals such as Journal of Biotechnology, BMC Bioinformatics, SHILAP Revista de lepidopterología, EGUGA and Institutional Research Information System University of Ferrara (University of Ferrara).
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.