Pedro Beja
- Ecological Modeling top 0.2%
- Species Distribution and Climate Change 65
- Nature and Landscape Conservation top 0.5%
- Ecology and Vegetation Dynamics Studies 48
- Fish Ecology and Management Studies 22
- Ecology top 0.2%
- Wildlife Ecology and Conservation 77
- Avian ecology and behavior 34
- Environmental DNA in Biodiversity Studies 30
- Animal Ecology and Behavior Studies 27
- Global and Planetary Change top 1%
-
- Identification and Quantification in Food 20
Pedro Beja
200 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Ecological Modeling 1.5k
- Nature and Landscape Conservation 2.3k
- Ecology 4.3k
- Global and Planetary Change 1.4k
- Ecology, Evolution, Behavior and Systematics 1.3k
Countries citing papers authored by Pedro Beja
This map shows the geographic impact of Pedro Beja'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 Pedro Beja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Beja more than expected).
Fields of papers citing papers by Pedro Beja
This network shows the impact of papers produced by Pedro Beja. 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 Pedro Beja. The network helps show where Pedro Beja may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pedro Beja, 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 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 38 | |
| 13 | 2020 | 34 | |
| 14 | 2020 | 16 | |
| 15 | 2020 | 12 | |
| 16 | 2019 | 14 | |
| 17 | 2019 | 21 | |
| 18 | 2018 | 57 | |
| 19 | 2018 | 8 | |
| 20 | 2017 | 5 |
About Pedro Beja
Pedro Beja is a scholar working on Ecological Modeling, Ecology, Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Global and Planetary Change, having authored 208 papers that have together received 6.5k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (77 papers), Species Distribution and Climate Change (65 papers), Ecology and Vegetation Dynamics Studies (48 papers), Avian ecology and behavior (34 papers), Environmental DNA in Biodiversity Studies (30 papers), Animal Ecology and Behavior Studies (27 papers), Fish Ecology and Management Studies (22 papers) and Identification and Quantification in Food (20 papers). The work is most often cited by research in Ecological Modeling (1.5k citations), Nature and Landscape Conservation (2.3k citations), Ecology (4.3k citations), Global and Planetary Change (1.4k citations) and Ecology, Evolution, Behavior and Systematics (1.3k citations). Pedro Beja has collaborated with scholars based in Portugal, Spain and United Kingdom. Frequent co-authors include António Mira, Luís Reino, Ricardo Pita, Chris Stoate, Francisco Moreira, Anne van Doorn, Irina Herzon, László Rákosy, Andràs Báldí and G.R. de Snoo. Their work appears in journals such as ZooKeys, Biological Conservation, European Journal of Wildlife Research, Agriculture Ecosystems & Environment and Journal of Applied Ecology.
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.