Matthias Alberti

75 total papers · 865 total citations
55 papers, 640 citations indexed

About

Matthias Alberti is a scholar working on Paleontology, Atmospheric Science and Ecology. According to data from OpenAlex, Matthias Alberti has authored 55 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Paleontology, 27 papers in Atmospheric Science and 17 papers in Ecology. Recurrent topics in Matthias Alberti's work include Paleontology and Stratigraphy of Fossils (33 papers), Geology and Paleoclimatology Research (27 papers) and Geological formations and processes (15 papers). Matthias Alberti is often cited by papers focused on Paleontology and Stratigraphy of Fossils (33 papers), Geology and Paleoclimatology Research (27 papers) and Geological formations and processes (15 papers). Matthias Alberti collaborates with scholars based in Germany, India and China. Matthias Alberti's co-authors include Franz T. Fürsich, Dhirendra K. Pandey, Nils Andersen, Alfred Uchman, Ahmed Awad Abdelhady, Mu. Ramkumar, F. A. Decandia, Enrico Tavarnelli, Dieter Garbe‐Schönberg and Chunlian Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Matthias Alberti

54 papers receiving 614 citations

Author Peers

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

Author Last Decade Papers Cites
Matthias Alberti 453 316 184 173 127 55 640
Miriam Cobianchi 507 1.1× 472 1.5× 204 1.1× 247 1.4× 111 0.9× 41 779
Michał Gruszczyński 446 1.0× 299 0.9× 123 0.7× 141 0.8× 78 0.6× 31 607
Karlos Guilherme Diemer Kochhann 362 0.8× 511 1.6× 152 0.8× 149 0.9× 105 0.8× 46 694
Adrijan Košir 301 0.7× 262 0.8× 161 0.9× 176 1.0× 84 0.7× 27 620
Raymond C. Gutschick 377 0.8× 322 1.0× 181 1.0× 81 0.5× 131 1.0× 51 720
Bronisław Andrzej Matyja 595 1.3× 311 1.0× 127 0.7× 397 2.3× 78 0.6× 48 785
Joachim Szulc 517 1.1× 331 1.0× 222 1.2× 250 1.4× 48 0.4× 39 778
Peter H. von Bitter 526 1.2× 267 0.8× 146 0.8× 156 0.9× 66 0.5× 46 679
Zeev Lewy 398 0.9× 243 0.8× 144 0.8× 93 0.5× 92 0.7× 38 642
Emilia Jarochowska 497 1.1× 233 0.7× 76 0.4× 126 0.7× 105 0.8× 57 726

Countries citing papers authored by Matthias Alberti

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Alberti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Alberti

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