Marc Schmitz

25 total papers · 803 total citations
13 papers, 652 citations indexed

About

Marc Schmitz is a scholar working on Process Chemistry and Technology, Inorganic Chemistry and Surgery. According to data from OpenAlex, Marc Schmitz has authored 13 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Process Chemistry and Technology, 7 papers in Inorganic Chemistry and 4 papers in Surgery. Recurrent topics in Marc Schmitz's work include Carbon dioxide utilization in catalysis (8 papers), Asymmetric Hydrogenation and Catalysis (7 papers) and Organometallic Complex Synthesis and Catalysis (2 papers). Marc Schmitz is often cited by papers focused on Carbon dioxide utilization in catalysis (8 papers), Asymmetric Hydrogenation and Catalysis (7 papers) and Organometallic Complex Synthesis and Catalysis (2 papers). Marc Schmitz collaborates with scholars based in Germany, Netherlands and United Kingdom. Marc Schmitz's co-authors include Walter Leitner, Jürgen Klankermayer, Thomas G. Ostapowicz, Markus Hölscher, Jacorien Coetzee, Markus Meuresch, David J. Cole‐Hamilton, Thorsten vom Stein, Akash Kaithal and Takuji Ishikawa and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Journal of Fluid Mechanics.

In The Last Decade

Marc Schmitz

13 papers receiving 644 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 Schmitz 390 377 261 179 153 13 652
Jeroen Rintjema 585 1.5× 278 0.7× 276 1.1× 266 1.5× 121 0.8× 15 727
Weijia Gan 342 0.9× 298 0.8× 99 0.4× 200 1.1× 81 0.5× 7 706
S.S Weng 230 0.6× 123 0.3× 190 0.7× 88 0.5× 177 1.2× 14 613
Daniela Cozzula 244 0.6× 315 0.8× 295 1.1× 125 0.7× 104 0.7× 12 643
Martin Hulla 616 1.6× 365 1.0× 250 1.0× 303 1.7× 78 0.5× 17 721
Sachin R. Jagtap 294 0.8× 175 0.5× 333 1.3× 91 0.5× 94 0.6× 20 584
Punnamchandar Ramidi 346 0.9× 188 0.5× 180 0.7× 226 1.3× 93 0.6× 21 554
Jacob Schneidewind 301 0.8× 342 0.9× 217 0.8× 322 1.8× 88 0.6× 11 673
Viktoriia Zubar 303 0.8× 539 1.4× 494 1.9× 72 0.4× 107 0.7× 15 742
Jaisiel Meléndez 588 1.5× 207 0.5× 284 1.1× 300 1.7× 149 1.0× 18 721

Countries citing papers authored by Marc Schmitz

Since Specialization
Citations

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

Fields of papers citing papers by Marc Schmitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Schmitz

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