Marcus Schwarting

800 citations
15 papers · 405 indexed · h-index 6
Topics
Machine Learning in Materials Science (7 papers)Computational Drug Discovery Methods (2 papers)Terrorism, Counterterrorism, and Political Violence (2 papers)

In The Last Decade

Marcus Schwarting

14 papers receiving 395 citations

Peers

Marcus Schwarting
Comparison fields: 5 of 73
  • Materials Chemistry 289
  • Electrical and Electronic Engineering 88
  • Catalysis 68
  • Computational Theory and Mathematics 48
  • Renewable Energy, Sustainability and the Environment 40
Replace Sebastiaan P. Huber with:
Sebastiaan P. Huber Switzerland
Max C. Gallant United States
Bernardus Rendy United States
David Milsted United States
Steven B. Torrisi United States
Cher Tian Ser Canada
Rishi E. Kumar United States
Carl S. Adorf United States
Janosh Riebesell United States
Fernando Gargiulo Switzerland
Marcus Schwarting relative to Sebastiaan P. Huber Switzerland Sebastiaan P. Huber's profile →
Citations per field
00.5×2.8×
Sebastiaan P. Huber · 1×
Citations per year

Countries citing papers authored by Marcus Schwarting

Since Specialization
Citations

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

Fields of papers citing papers by Marcus Schwarting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcus Schwarting

This figure shows the co-authorship network connecting the top 25 collaborators of Marcus Schwarting. A scholar is included among the top collaborators of Marcus Schwarting 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 Marcus Schwarting. Marcus Schwarting is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 2
2 3
3 4
4 2
5 0
6 5
7 7
8 1
9 5
10 16
11 124
12 153
13 58
14 22
15 3

About Marcus Schwarting

Marcus Schwarting is a scholar working on Catalysis, Materials Chemistry and Electrochemistry, having authored 15 papers that have together received 405 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (7 papers), Computational Drug Discovery Methods (2 papers) and Terrorism, Counterterrorism, and Political Violence (2 papers). The work is most often cited by research in Catalysis (68 citations), Materials Chemistry (289 citations) and Structural Biology (7 citations). Marcus Schwarting has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Andriy Zakutayev, Caleb Phillips, Robert White, Kristin Munch, John D. Perkins, Ben Blaiszik, William Tumas, Ian Foster, Kyle Chard and Logan Ward. Their work appears in journals such as The Journal of Chemical Physics, Chemical Communications and Nanoscale.

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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