Marc L. Schröder

126 total papers · 4.9k total citations
91 papers, 2.8k citations indexed

About

Marc L. Schröder is a scholar working on Pathology and Forensic Medicine, Artificial Intelligence and Pharmacology. According to data from OpenAlex, Marc L. Schröder has authored 91 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Pathology and Forensic Medicine, 30 papers in Artificial Intelligence and 28 papers in Pharmacology. Recurrent topics in Marc L. Schröder's work include Spine and Intervertebral Disc Pathology (32 papers), Musculoskeletal pain and rehabilitation (28 papers) and Speech Recognition and Synthesis (18 papers). Marc L. Schröder is often cited by papers focused on Spine and Intervertebral Disc Pathology (32 papers), Musculoskeletal pain and rehabilitation (28 papers) and Speech Recognition and Synthesis (18 papers). Marc L. Schröder collaborates with scholars based in Netherlands, Switzerland and Germany. Marc L. Schröder's co-authors include Victor E. Staartjes, Jürgen Trouvain, Marlies P. de Wispelaere, J. Paul Muizelaar, Anita M. Klukowska, Alessandro Siccoli, W. Peter Vandertop, Oytun Türk, A Kúta and Sathish Pammi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and Journal of neurosurgery.

In The Last Decade

Marc L. Schröder

91 papers receiving 2.6k citations

Author Peers

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

Author Last Decade Papers Cites
Marc L. Schröder 798 698 621 592 404 91 2.8k
Richard Shiavi 272 0.3× 591 0.8× 47 0.1× 445 0.8× 218 0.5× 94 3.5k
Jacek Dmochowski 116 0.1× 111 0.2× 461 0.7× 298 0.5× 650 1.6× 123 4.8k
Adam P. Vogel 482 0.6× 153 0.2× 136 0.2× 539 0.9× 216 0.5× 192 3.7k
Karen M. von Deneen 115 0.1× 173 0.2× 331 0.5× 392 0.7× 49 0.1× 127 5.0k
Erna Kentala 148 0.2× 390 0.6× 436 0.7× 75 0.1× 39 0.1× 119 4.3k
Carlton Chu 412 0.5× 129 0.2× 86 0.1× 269 0.5× 56 0.1× 30 3.7k
Christine M. Sapienza 533 0.7× 320 0.5× 73 0.1× 1.1k 1.8× 209 0.5× 106 5.2k
J.R. Boston 117 0.1× 541 0.8× 127 0.2× 74 0.1× 246 0.6× 150 2.3k
Meltem İzzetoğlu 51 0.1× 258 0.4× 139 0.2× 194 0.3× 66 0.2× 105 3.6k
John Hansen 157 0.2× 151 0.2× 57 0.1× 93 0.2× 168 0.4× 130 2.1k

Countries citing papers authored by Marc L. Schröder

Since Specialization
Citations

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

Fields of papers citing papers by Marc L. Schröder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc L. Schröder. 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 Marc L. Schröder. The network helps show where Marc L. Schröder may publish in the future.

Co-authorship network of co-authors of Marc L. Schröder

This figure shows the co-authorship network connecting the top 25 collaborators of Marc L. Schröder. A scholar is included among the top collaborators of Marc L. Schröder 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 Marc L. Schröder. Marc L. Schröder 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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