Remmert Daams

54 total papers · 2.0k total citations
39 papers, 1.4k citations indexed

About

Remmert Daams is a scholar working on Paleontology, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Remmert Daams has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Paleontology, 19 papers in Ecology and 17 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Remmert Daams's work include Evolution and Paleontology Studies (36 papers), Animal Ecology and Behavior Studies (16 papers) and Bat Biology and Ecology Studies (16 papers). Remmert Daams is often cited by papers focused on Evolution and Paleontology Studies (36 papers), Animal Ecology and Behavior Studies (16 papers) and Bat Biology and Ecology Studies (16 papers). Remmert Daams collaborates with scholars based in Spain, Netherlands and Chad. Remmert Daams's co-authors include A.J. van der Meulen, M. Freudenthal, Pablo Peláez‐Campomanes, Hans de Bruijn, María Sierra, Wout Krijgsman, Matthijs Freudenthal, Norbert Schmidt-Kittler, Volker Fahlbusch and Miguel Telles Antunes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Earth and Planetary Science Letters and Palaeogeography Palaeoclimatology Palaeoecology.

In The Last Decade

Remmert Daams

38 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Remmert Daams 1.3k 592 510 483 331 39 1.4k
A.J. van der Meulen 1.4k 1.1× 653 1.1× 648 1.3× 664 1.4× 297 0.9× 26 1.7k
Volker Fahlbusch 1.2k 0.9× 587 1.0× 503 1.0× 415 0.9× 306 0.9× 28 1.4k
А. С. Тесаков 1.0k 0.8× 664 1.1× 553 1.1× 466 1.0× 253 0.8× 97 1.7k
Andossa Likius 1.1k 0.9× 451 0.8× 871 1.7× 307 0.6× 281 0.8× 55 1.8k
Jacques Dam 908 0.7× 384 0.6× 412 0.8× 600 1.2× 215 0.6× 50 1.3k
Serge Legendre 1.1k 0.9× 563 1.0× 410 0.8× 422 0.9× 297 0.9× 51 1.4k
Léonard Ginsburg 1.4k 1.1× 684 1.2× 448 0.9× 235 0.5× 517 1.6× 90 1.6k
Zhaoqun Zhang 895 0.7× 484 0.8× 281 0.6× 441 0.9× 300 0.9× 58 1.4k
Béatriz Azanza 983 0.8× 569 1.0× 521 1.0× 250 0.5× 224 0.7× 67 1.2k
Ursula B. Göhlich 920 0.7× 477 0.8× 240 0.5× 220 0.5× 277 0.8× 66 1.4k

Countries citing papers authored by Remmert Daams

Since Specialization
Citations

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

Fields of papers citing papers by Remmert Daams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Remmert Daams

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