Carmen García‐Comas

1.3k total citations
16 papers, 974 citations indexed

About

Carmen García‐Comas is a scholar working on Ecology, Oceanography and Global and Planetary Change. According to data from OpenAlex, Carmen García‐Comas has authored 16 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, 9 papers in Oceanography and 8 papers in Global and Planetary Change. Recurrent topics in Carmen García‐Comas's work include Marine and coastal ecosystems (8 papers), Marine and fisheries research (7 papers) and Isotope Analysis in Ecology (6 papers). Carmen García‐Comas is often cited by papers focused on Marine and coastal ecosystems (8 papers), Marine and fisheries research (7 papers) and Isotope Analysis in Ecology (6 papers). Carmen García‐Comas collaborates with scholars based in France, Spain and Taiwan. Carmen García‐Comas's co-authors include Lars Stemmann, Stéphane Gasparini, Marc Picheral, Stéphane Pesant, Mark D. Ohman, Jean‐Baptiste Romagnan, A Cawood, Gwo‐Ching Gong, Chih‐hao Hsieh and Maria Grazia Mazzocchi and has published in prestigious journals such as Nature, The Science of The Total Environment and Bioresource Technology.

In The Last Decade

Carmen García‐Comas

15 papers receiving 960 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Carmen García‐Comas France 11 577 460 354 181 113 16 974
Lorenzo Angeletti Italy 23 556 1.0× 657 1.4× 476 1.3× 109 0.6× 111 1.0× 58 1.3k
David Alberto Salas‐de‐León Mexico 20 611 1.1× 449 1.0× 407 1.1× 102 0.6× 180 1.6× 96 1.1k
Stéphane Gasparini France 23 1.4k 2.3× 882 1.9× 762 2.2× 151 0.8× 278 2.5× 43 1.9k
Gavin M. Rishworth South Africa 16 228 0.4× 321 0.7× 177 0.5× 51 0.3× 85 0.8× 51 610
Alain Vézina Canada 21 667 1.2× 528 1.1× 374 1.1× 116 0.6× 126 1.1× 33 1.1k
Nelson Silva Chile 22 888 1.5× 542 1.2× 370 1.0× 60 0.3× 215 1.9× 49 1.3k
José Manuel Oro Cabanas Spain 22 949 1.6× 565 1.2× 801 2.3× 105 0.6× 204 1.8× 39 1.6k
Laura Carrillo Mexico 17 331 0.6× 296 0.6× 329 0.9× 78 0.4× 52 0.5× 54 719
M. F. Lavín Mexico 27 1.3k 2.2× 665 1.4× 1.0k 3.0× 157 0.9× 73 0.6× 53 1.9k
Gilberto Gaxiola‐Castro Mexico 22 923 1.6× 361 0.8× 523 1.5× 102 0.6× 126 1.1× 73 1.3k

Countries citing papers authored by Carmen García‐Comas

Since Specialization
Citations

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

Fields of papers citing papers by Carmen García‐Comas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carmen García‐Comas. 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 Carmen García‐Comas. The network helps show where Carmen García‐Comas may publish in the future.

Co-authorship network of co-authors of Carmen García‐Comas

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

All Works

16 of 16 papers shown
1.
Giner, Caterina R., Carmen García‐Comas, Ana Sánchez‐Zurano, et al.. (2025). Complex interplay between the microalgae and their microbiome in production raceways. Bioresource Technology. 432. 132650–132650.
2.
García‐Comas, Carmen, et al.. (2023). Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates. Journal of Visualized Experiments. 1 indexed citations
3.
Brucet, Sandra, Mireia Bartrons, Carmen García‐Comas, et al.. (2022). Individual body mass and length dataset for over 12,000 fish from Iberian streams. Data in Brief. 42. 108248–108248. 1 indexed citations
4.
Cermeño, Pedro, Carmen García‐Comas, Alexandre Pohl, et al.. (2022). Post-extinction recovery of the Phanerozoic oceans and biodiversity hotspots. Nature. 607(7919). 507–511. 21 indexed citations
5.
Brucet, Sandra, et al.. (2021). Fish size spectra are affected by nutrient concentration and relative abundance of non-native species across streams of the NE Iberian Peninsula. The Science of The Total Environment. 795. 148792–148792. 16 indexed citations
6.
Sastri, Akash R., Carmen García‐Comas, Noboru Okuda, et al.. (2020). Prey stoichiometry and phytoplankton and zooplankton composition influence the production of marine crustacean zooplankton. Progress In Oceanography. 186. 102369–102369. 3 indexed citations
7.
Caley, T., James A Collins, Enno Schefuß, et al.. (2018). A two-million-year-long hydroclimatic context for hominin evolution in southeastern Africa. Nature. 560(7716). 76–79. 78 indexed citations
8.
García‐Comas, Carmen, et al.. (2016). Prey size diversity hinders biomass trophic transfer and predator size diversity promotes it in planktonic communities. Proceedings of the Royal Society B Biological Sciences. 283(1824). 20152129–20152129. 66 indexed citations
9.
García‐Comas, Carmen, et al.. (2016). Comparison of copepod species-based and individual-size-based community structuring. Journal of Plankton Research. 38(4). 1006–1020. 7 indexed citations
10.
García‐Comas, Carmen, Lin Ye, Akash R. Sastri, et al.. (2013). Mesozooplankton size structure in response to environmental conditions in the East China Sea: How much does size spectra theory fit empirical data of a dynamic coastal area?. Progress In Oceanography. 121. 141–157. 60 indexed citations
11.
Ye, Lin, et al.. (2013). Increasing zooplankton size diversity enhances the strength of top‐down control on phytoplankton through diet niche partitioning. Journal of Animal Ecology. 82(5). 1052–1061. 84 indexed citations
12.
Vandromme, Pieter, et al.. (2012). Assessing biases in computing size spectra of automatically classified zooplankton from imaging systems: A case study with the ZooScan integrated system. HAL (Le Centre pour la Communication Scientifique Directe). 1-2. 3–21. 62 indexed citations
13.
Mazzocchi, Maria Grazia, Laurent Dubroca, Carmen García‐Comas, Iole Di Capua, & Maurizio Ribera d’Alcalà. (2011). Stability and resilience in coastal copepod assemblages: The case of the Mediterranean long-term ecological research at Station MC (LTER-MC). Progress In Oceanography. 97-100. 135–151. 55 indexed citations
14.
Berline, Léo, Ioanna Siokou-Frangou, Ivona Marasović, et al.. (2011). Intercomparison of six Mediterranean zooplankton time series. Progress In Oceanography. 97-100. 76–91. 55 indexed citations
15.
García‐Comas, Carmen, Lars Stemmann, Frédéric Ibañez, et al.. (2011). Zooplankton long-term changes in the NW Mediterranean Sea: Decadal periodicity forced by winter hydrographic conditions related to large-scale atmospheric changes?. Journal of Marine Systems. 87(3-4). 216–226. 81 indexed citations
16.
Ohman, Mark D., Marc Picheral, Stéphane Gasparini, et al.. (2010). Digital zooplankton image analysis using the ZooScan integrated system. Journal of Plankton Research. 32(3). 285–303. 384 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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