Matthias Bechstein

105 total papers · 1.2k total citations
57 papers, 582 citations indexed

About

Matthias Bechstein is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Neurology. According to data from OpenAlex, Matthias Bechstein has authored 57 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Epidemiology, 29 papers in Pulmonary and Respiratory Medicine and 28 papers in Neurology. Recurrent topics in Matthias Bechstein's work include Acute Ischemic Stroke Management (47 papers), Cerebrovascular and Carotid Artery Diseases (27 papers) and Traumatic Brain Injury and Neurovascular Disturbances (21 papers). Matthias Bechstein is often cited by papers focused on Acute Ischemic Stroke Management (47 papers), Cerebrovascular and Carotid Artery Diseases (27 papers) and Traumatic Brain Injury and Neurovascular Disturbances (21 papers). Matthias Bechstein collaborates with scholars based in Germany, United States and Switzerland. Matthias Bechstein's co-authors include Jens Fiehler, Uta Hanning, Gabriel Broocks, Lukas Meyer, Gerhard Schön, Helge Kniep, André Kemmling, Fabian Flottmann, Rosalie McDonough and Götz Thomalla and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Stroke.

In The Last Decade

Matthias Bechstein

51 papers receiving 575 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 Bechstein 442 267 196 173 143 57 582
Ilko Maier 570 1.3× 276 1.0× 245 1.3× 176 1.0× 176 1.2× 52 685
Alan O’Hare 360 0.8× 246 0.9× 230 1.2× 198 1.1× 92 0.6× 53 651
Vivek Nambiar 424 1.0× 259 1.0× 250 1.3× 139 0.8× 139 1.0× 37 544
Xianjun Huang 394 0.9× 282 1.1× 276 1.4× 95 0.5× 91 0.6× 74 686
Kornelia Kreiser 351 0.8× 250 0.9× 165 0.8× 147 0.8× 72 0.5× 38 545
Nishita Singh 352 0.8× 272 1.0× 197 1.0× 86 0.5× 98 0.7× 89 583
Mikito Hayakawa 353 0.8× 333 1.2× 242 1.2× 137 0.8× 66 0.5× 67 599
Sarah Power 310 0.7× 298 1.1× 269 1.4× 148 0.9× 61 0.4× 47 642
Edwin D. Cacayorin 364 0.8× 327 1.2× 250 1.3× 88 0.5× 87 0.6× 36 673
Taketo Hatano 391 0.9× 303 1.1× 353 1.8× 79 0.5× 98 0.7× 83 667

Countries citing papers authored by Matthias Bechstein

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Bechstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Bechstein

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