Anna‐Lisa Schuler

54 total papers · 560 total citations
33 papers, 331 citations indexed

About

Anna‐Lisa Schuler is a scholar working on Cognitive Neuroscience, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Anna‐Lisa Schuler has authored 33 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 13 papers in Neurology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Anna‐Lisa Schuler's work include Functional Brain Connectivity Studies (19 papers), Transcranial Magnetic Stimulation Studies (13 papers) and Neural dynamics and brain function (9 papers). Anna‐Lisa Schuler is often cited by papers focused on Functional Brain Connectivity Studies (19 papers), Transcranial Magnetic Stimulation Studies (13 papers) and Neural dynamics and brain function (9 papers). Anna‐Lisa Schuler collaborates with scholars based in Austria, United States and Germany. Anna‐Lisa Schuler's co-authors include Martin Tik, Michael Woletz, Giovanni Pellegrino, Christian Windischberger, Giorgio Arcara, Rainer Seidl, Gregor Kasprian, Francesco Piccione, Daniela Prayer and L. Bartha and has published in prestigious journals such as NeuroImage, Scientific Reports and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Anna‐Lisa Schuler

32 papers receiving 330 citations

Author Peers

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

Author Last Decade Papers Cites
Anna‐Lisa Schuler 260 123 67 42 36 33 331
Lena V. Schumacher 181 0.7× 64 0.5× 78 1.2× 26 0.6× 78 2.2× 18 336
Jan Feldheim 239 0.9× 93 0.8× 73 1.1× 19 0.5× 34 0.9× 15 326
Julian Klingbeil 277 1.1× 56 0.5× 126 1.9× 15 0.4× 27 0.8× 21 358
Ana Saitovitch 167 0.6× 28 0.2× 63 0.9× 20 0.5× 25 0.7× 24 298
Elke De Witte 187 0.7× 33 0.3× 49 0.7× 14 0.3× 28 0.8× 25 284
Masaki Tanaka 227 0.9× 49 0.4× 84 1.3× 26 0.6× 17 0.5× 19 346
Jarrett Rushmore 234 0.9× 199 1.6× 57 0.9× 15 0.4× 31 0.9× 19 364
Samuel M. Bierner 94 0.4× 90 0.7× 43 0.6× 14 0.3× 51 1.4× 20 327
Valentinos Zachariou 232 0.9× 25 0.2× 88 1.3× 33 0.8× 34 0.9× 29 350
Maja Rogić Vidaković 104 0.4× 102 0.8× 22 0.3× 42 1.0× 55 1.5× 41 361

Countries citing papers authored by Anna‐Lisa Schuler

Since Specialization
Citations

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

Fields of papers citing papers by Anna‐Lisa Schuler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna‐Lisa Schuler. 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 Anna‐Lisa Schuler. The network helps show where Anna‐Lisa Schuler may publish in the future.

Co-authorship network of co-authors of Anna‐Lisa Schuler

This figure shows the co-authorship network connecting the top 25 collaborators of Anna‐Lisa Schuler. A scholar is included among the top collaborators of Anna‐Lisa Schuler 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 Anna‐Lisa Schuler. Anna‐Lisa Schuler 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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