Gian Marco Palamara

1.2k total citations · 1 hit paper
10 papers, 752 citations indexed

About

Gian Marco Palamara is a scholar working on Nature and Landscape Conservation, Ecology and Genetics. According to data from OpenAlex, Gian Marco Palamara has authored 10 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nature and Landscape Conservation, 6 papers in Ecology and 4 papers in Genetics. Recurrent topics in Gian Marco Palamara's work include Ecology and Vegetation Dynamics Studies (6 papers), Animal Ecology and Behavior Studies (3 papers) and Evolution and Genetic Dynamics (3 papers). Gian Marco Palamara is often cited by papers focused on Ecology and Vegetation Dynamics Studies (6 papers), Animal Ecology and Behavior Studies (3 papers) and Evolution and Genetic Dynamics (3 papers). Gian Marco Palamara collaborates with scholars based in Switzerland, United Kingdom and United States. Gian Marco Palamara's co-authors include Owen L. Petchey, Frank Pennekamp, Thomas M. Massie, Mikael Pontarp, Florian Altermatt, Andrea Tabi, Roman Alther, Emanuel A. Fronhofer, Katherine Horgan and Mathew Seymour and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Ecology Letters.

In The Last Decade

Gian Marco Palamara

10 papers receiving 747 citations

Hit Papers

Biodiversity increases and decreases ecosystem stability 2018 2026 2020 2023 2018 100 200 300

Peers

Gian Marco Palamara
Thomas M. Massie Switzerland
Adam Thomas Clark United States
Allison K. Barner United States
Hannah S. Wauchope United Kingdom
Chris Ware Australia
Jaime Ashander United States
Alice Boit Germany
Sam Nicol Australia
Thomas M. Massie Switzerland
Gian Marco Palamara
Citations per year, relative to Gian Marco Palamara Gian Marco Palamara (= 1×) peers Thomas M. Massie

Countries citing papers authored by Gian Marco Palamara

Since Specialization
Citations

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

Fields of papers citing papers by Gian Marco Palamara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gian Marco Palamara. 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 Gian Marco Palamara. The network helps show where Gian Marco Palamara may publish in the future.

Co-authorship network of co-authors of Gian Marco Palamara

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

All Works

10 of 10 papers shown
1.
Palamara, Gian Marco, Alejandro Rozenfeld, Charles Novaes de Santana, et al.. (2023). Biodiversity dynamics in landscapes with fluctuating connectivity. Ecography. 2023(7). 9 indexed citations
2.
Palamara, Gian Marco, et al.. (2022). Investigating the effect of pesticides on Daphnia population dynamics by inferring structure and parameters of a stochastic model. Ecological Modelling. 472. 110076–110076. 1 indexed citations
3.
Losapio, Gianalberto, Christian Schöb, Phillip P. A. Staniczenko, et al.. (2021). Network motifs involving both competition and facilitation predict biodiversity in alpine plant communities. Proceedings of the National Academy of Sciences. 118(6). 51 indexed citations
4.
Palamara, Gian Marco, José A. Capitán, & David Alonso. (2021). The Stochastic Nature of Functional Responses. Entropy. 23(5). 575–575. 3 indexed citations
5.
Pennekamp, Frank, Alison C. Iles, Joshua Garland, et al.. (2019). The intrinsic predictability of ecological time series and its potential to guide forecasting. Ecological Monographs. 89(2). 84 indexed citations
6.
Pennekamp, Frank, Mikael Pontarp, Andrea Tabi, et al.. (2018). Biodiversity increases and decreases ecosystem stability. Nature. 563(7729). 109–112. 368 indexed citations breakdown →
7.
Palamara, Gian Marco, Francesco Carrara, Matthew J. Smith, & Owen L. Petchey. (2016). The effects of demographic stochasticity and parameter uncertainty on predicting the establishment of introduced species. Ecology and Evolution. 6(23). 8440–8451. 10 indexed citations
8.
Petchey, Owen L., Mikael Pontarp, Thomas M. Massie, et al.. (2015). The ecological forecast horizon, and examples of its uses and determinants. Ecology Letters. 18(7). 597–611. 207 indexed citations
9.
Palamara, Gian Marco, Dylan Z. Childs, Christopher F. Clements, et al.. (2014). Inferring the temperature dependence of population parameters: the effects of experimental design and inference algorithm. Ecology and Evolution. 4(24). 4736–4750. 11 indexed citations
10.
Palamara, Gian Marco, Gustav W. Delius, Matthew J. Smith, & Owen L. Petchey. (2013). Predation effects on mean time to extinction under demographic stochasticity. Journal of Theoretical Biology. 334. 61–70. 8 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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