Andreas Pastoors

69 total papers · 989 total citations
33 papers, 689 citations indexed

About

Andreas Pastoors is a scholar working on Anthropology, Paleontology and Atmospheric Science. According to data from OpenAlex, Andreas Pastoors has authored 33 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Anthropology, 18 papers in Paleontology and 10 papers in Atmospheric Science. Recurrent topics in Andreas Pastoors's work include Pleistocene-Era Hominins and Archaeology (23 papers), Archaeology and ancient environmental studies (17 papers) and Geology and Paleoclimatology Research (10 papers). Andreas Pastoors is often cited by papers focused on Pleistocene-Era Hominins and Archaeology (23 papers), Archaeology and ancient environmental studies (17 papers) and Geology and Paleoclimatology Research (10 papers). Andreas Pastoors collaborates with scholars based in Germany, Spain and Italy. Andreas Pastoors's co-authors include Gerd‐Christian Weniger, Marcel Bradtmöller, Bernhard Weninger, Marco Peresani, Martin Kehl, Manuel Vaquero, Matteo Romandini, Isabell Schmidt, Véronique Laroulandie and Laure Metz and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Quaternary Science Reviews.

In The Last Decade

Andreas Pastoors

30 papers receiving 647 citations

Author Peers

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

Author Last Decade Papers Cites
Andreas Pastoors 506 431 238 181 59 33 689
Shannon McPherron 426 0.8× 401 0.9× 233 1.0× 118 0.7× 29 0.5× 21 605
Jan F. Simek 405 0.8× 407 0.9× 188 0.8× 144 0.8× 41 0.7× 35 601
LuAnn Wandsnider 456 0.9× 512 1.2× 223 0.9× 92 0.5× 91 1.5× 25 776
Marcello Piperno 518 1.0× 478 1.1× 318 1.3× 168 0.9× 41 0.7× 37 782
Brad Gravina 606 1.2× 545 1.3× 335 1.4× 99 0.5× 45 0.8× 34 743
Catherine Ferrier 276 0.5× 217 0.5× 180 0.8× 124 0.7× 64 1.1× 47 599
Chantal Conneller 361 0.7× 405 0.9× 178 0.7× 168 0.9× 57 1.0× 45 654
Jacopo Crezzini 519 1.0× 431 1.0× 390 1.6× 88 0.5× 23 0.4× 47 697
Carole Fritz 352 0.7× 262 0.6× 183 0.8× 73 0.4× 136 2.3× 48 584
Anita Quilès 355 0.7× 504 1.2× 336 1.4× 230 1.3× 65 1.1× 39 784

Countries citing papers authored by Andreas Pastoors

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Pastoors

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas Pastoors. 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 Andreas Pastoors. The network helps show where Andreas Pastoors may publish in the future.

Co-authorship network of co-authors of Andreas Pastoors

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Pastoors. A scholar is included among the top collaborators of Andreas Pastoors 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 Andreas Pastoors. Andreas Pastoors 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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