Marta De Barba

3.1k total citations · 2 hit papers
22 papers, 1.8k citations indexed

About

Marta De Barba is a scholar working on Ecology, Molecular Biology and Ecological Modeling. According to data from OpenAlex, Marta De Barba has authored 22 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Ecology, 7 papers in Molecular Biology and 7 papers in Ecological Modeling. Recurrent topics in Marta De Barba's work include Environmental DNA in Biodiversity Studies (12 papers), Wildlife Ecology and Conservation (11 papers) and Species Distribution and Climate Change (7 papers). Marta De Barba is often cited by papers focused on Environmental DNA in Biodiversity Studies (12 papers), Wildlife Ecology and Conservation (11 papers) and Species Distribution and Climate Change (7 papers). Marta De Barba collaborates with scholars based in France, United States and Norway. Marta De Barba's co-authors include Pierre Taberlet, Éric Coissac, Frédéric Boyer, C. Miquel, Delphine Rioux, Céline Mercier, Lisette P. Waits, Ludovic Gielly, Aurélie Bonin and Charline Giguet‐Covex and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Conservation Biology.

In The Last Decade

Marta De Barba

22 papers receiving 1.7k citations

Hit Papers

Replication levels, false presences and the estimation of... 2013 2026 2017 2021 2014 2013 100 200 300 400 500

Peers

Marta De Barba
Yinqiu Ji China
Kristine L. Pilgrim United States
Austen C. Thomas United States
Rupert A. Collins United Kingdom
John R. Demboski United States
Haw Chuan Lim United States
Marta De Barba
Citations per year, relative to Marta De Barba Marta De Barba (= 1×) peers Tiayyba Riaz

Countries citing papers authored by Marta De Barba

Since Specialization
Citations

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

Fields of papers citing papers by Marta De Barba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marta De Barba. 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 Marta De Barba. The network helps show where Marta De Barba may publish in the future.

Co-authorship network of co-authors of Marta De Barba

This figure shows the co-authorship network connecting the top 25 collaborators of Marta De Barba. A scholar is included among the top collaborators of Marta De Barba 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 Marta De Barba. Marta De Barba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dutta, Trishna, Marta De Barba, Nuria Selva, et al.. (2023). An objective approach to select surrogate species for connectivity conservation. Frontiers in Ecology and Evolution. 11. 7 indexed citations
2.
Barba, Marta De, Frédéric Boyer, Luca Fumagalli, et al.. (2023). Individual genotypes from environmental DNA: Fingerprinting snow tracks of three large carnivore species. Molecular Ecology Resources. 24(3). e13915–e13915. 3 indexed citations
3.
Olesen, Carsten Riis, Kristian Trøjelsgaard, Cino Pertoldi, et al.. (2021). eDNA metabarcoding for biodiversity assessment, generalist predators as sampling assistants. Scientific Reports. 11(1). 6820–6820. 40 indexed citations
4.
García‐Rodríguez, Alberto, Nuria Selva, Tomasz Zwijacz‐Kozica, et al.. (2021). The bear-berry connection: Ecological and management implications of brown bears' food habits in a highly touristic protected area. Biological Conservation. 264. 109376–109376. 17 indexed citations
5.
Lopes, Carla Martins, Marta De Barba, Frédéric Boyer, et al.. (2020). Ecological specialization and niche overlap of subterranean rodents inferred from DNA metabarcoding diet analysis. Molecular Ecology. 29(16). 3143–3153. 19 indexed citations
6.
Zinger, Lucie, Pierre Taberlet, Heidy Schimann, et al.. (2018). Body size determines soil community assembly in a tropical forest. Molecular Ecology. 28(3). 528–543. 136 indexed citations
7.
Skrbinšek, Tomaž, Maja Jelenčič, Roman Luštrik, et al.. (2018). USING LABORATORY ROBOTICS, HIGH-THROUGHPUT SEQUENCING AND SAMPLING WITH VOLUNTEERS FOR QUICK AND COST-EFFECTIVE LARGE-SCALE GENETIC ESTIMATES OF BROWN BEAR POPULATION SIZE – TRANSBOUNDARY CASE STUDY IN SLOVENIA. 76. 1 indexed citations
8.
Fløjgaard, Camilla, Marta De Barba, Pierre Taberlet, & Rasmus Ejrnæs. (2017). Body condition, diet and ecosystem function of red deer (Cervus elaphus) in a fenced nature reserve. Global Ecology and Conservation. 11. 312–323. 20 indexed citations
9.
Barba, Marta De, et al.. (2016). Parasite load in the Iberian ibex, Capra pyrenaica victoriae. SHILAP Revista de lepidopterología. 14. 108–113. 2 indexed citations
10.
Lopes, Carla Martins, Marta De Barba, Frédéric Boyer, et al.. (2015). DNA metabarcoding diet analysis for species with parapatric vs sympatric distribution: a case study on subterranean rodents. Heredity. 114(5). 525–536. 53 indexed citations
11.
Elfström, Marcus, Marie L. Davey, Andreas Zedrosser, et al.. (2014). Do Scandinavian brown bears approach settlements to obtain high-quality food?. Biological Conservation. 178. 128–135. 51 indexed citations
12.
Barba, Marta De, et al.. (2014). Molecular species identification for multiple carnivores. Conservation Genetics Resources. 6(4). 821–824. 56 indexed citations
13.
Ficetola, Gentile Francesco, Johan Pansu, Aurélie Bonin, et al.. (2014). Replication levels, false presences and the estimation of the presence/absence from eDNA metabarcoding data. Molecular Ecology Resources. 15(3). 543–556. 513 indexed citations breakdown →
14.
Barba, Marta De, C. Miquel, Frédéric Boyer, et al.. (2013). DNA metabarcoding multiplexing and validation of data accuracy for diet assessment: application to omnivorous diet. Molecular Ecology Resources. 14(2). 306–323. 427 indexed citations breakdown →
15.
Barba, Marta De, Lisette P. Waits, Edward O. Garton, et al.. (2010). The power of genetic monitoring for studying demography, ecology and genetics of a reintroduced brown bear population. Molecular Ecology. 19(18). 3938–3951. 121 indexed citations
16.
Karamanlidis, Alexandros A., Marta De Barba, Stefano Filacorda, et al.. (2010). Bringing together genetic research on brown bears in the Alps – Dinara – Pindos and Carpathian Mountains. 3 indexed citations
17.
Stenglein, Jennifer L., Marta De Barba, David E. Ausband, & Lisette P. Waits. (2009). Impacts of sampling location within a faeces on DNA quality in two carnivore species. Molecular Ecology Resources. 10(1). 109–114. 76 indexed citations
18.
Barba, Marta De & Lisette P. Waits. (2009). Multiplex pre‐amplification for noninvasive genetic sampling: is the extra effort worth it?. Molecular Ecology Resources. 10(4). 659–665. 9 indexed citations
19.
Barba, Marta De, et al.. (2009). Comparing opportunistic and systematic sampling methods for non‐invasive genetic monitoring of a small translocated brown bear population. Journal of Applied Ecology. 47(1). 172–181. 76 indexed citations
20.
Karamanlidis, Alexandros A., Marta De Barba, Claudio Groff, et al.. (2009). Common guidelines for the genetic study of brown bears (Ursus arctos) in southeastern Europe. 2 indexed citations

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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