Marta M. Paez

25 total papers · 1.0k total citations
20 papers, 808 citations indexed

About

Marta M. Paez is a scholar working on Atmospheric Science, Ecology, Evolution, Behavior and Systematics and Anthropology. According to data from OpenAlex, Marta M. Paez has authored 20 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atmospheric Science, 8 papers in Ecology, Evolution, Behavior and Systematics and 8 papers in Anthropology. Recurrent topics in Marta M. Paez's work include Geology and Paleoclimatology Research (16 papers), Pleistocene-Era Hominins and Archaeology (8 papers) and Lichen and fungal ecology (5 papers). Marta M. Paez is often cited by papers focused on Geology and Paleoclimatology Research (16 papers), Pleistocene-Era Hominins and Archaeology (8 papers) and Lichen and fungal ecology (5 papers). Marta M. Paez collaborates with scholars based in Argentina, Germany and Brazil. Marta M. Paez's co-authors include Aldo R. Prieto, Silvina Stutz, Frank Schäbitz, Marco Mancini, Marcela Sandra Tonello, Isabel Vilanova, Marcelo Zárate, Claudio F. Pérez, Torsten Haberzettl and Bernd Zolitschka and has published in prestigious journals such as Quaternary Science Reviews, Palaeogeography Palaeoclimatology Palaeoecology and Journal of Biogeography.

In The Last Decade

Marta M. Paez

20 papers receiving 780 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marta M. Paez 545 268 265 168 164 20 808
Ulf Segerström 684 1.3× 190 0.7× 101 0.4× 331 2.0× 109 0.7× 30 1.0k
Isabelle Farrera 539 1.0× 160 0.6× 195 0.7× 160 1.0× 158 1.0× 22 894
Johs. Iversen 540 1.0× 147 0.5× 135 0.5× 193 1.1× 81 0.5× 11 987
Edward J. Cushing 546 1.0× 170 0.6× 175 0.7× 167 1.0× 105 0.6× 13 743
Karl‐Dag Vorren 787 1.4× 223 0.8× 217 0.8× 242 1.4× 192 1.2× 38 937
Austin Smith 563 1.0× 236 0.9× 196 0.7× 236 1.4× 129 0.8× 34 855
Sonia L. Fontana 537 1.0× 156 0.6× 149 0.6× 298 1.8× 121 0.7× 38 859
Winifred Tutin 557 1.0× 227 0.8× 221 0.8× 199 1.2× 177 1.1× 7 1.0k
Hervé Richard 474 0.9× 205 0.8× 149 0.6× 120 0.7× 127 0.8× 54 730
Kenneth R. Hirons 589 1.1× 221 0.8× 212 0.8× 184 1.1× 107 0.7× 8 700

Countries citing papers authored by Marta M. Paez

Since Specialization
Citations

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

Fields of papers citing papers by Marta M. Paez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta M. Paez

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

All Works

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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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