Marcus Schwarting

800 total citations
15 papers, 405 citations indexed

About

Marcus Schwarting is a scholar working on Materials Chemistry, Biomedical Engineering and Sociology and Political Science. According to data from OpenAlex, Marcus Schwarting has authored 15 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 3 papers in Biomedical Engineering and 2 papers in Sociology and Political Science. Recurrent topics in Marcus Schwarting's work include Machine Learning in Materials Science (7 papers), Computational Drug Discovery Methods (2 papers) and Terrorism, Counterterrorism, and Political Violence (2 papers). Marcus Schwarting is often cited by papers focused on Machine Learning in Materials Science (7 papers), Computational Drug Discovery Methods (2 papers) and Terrorism, Counterterrorism, and Political Violence (2 papers). Marcus Schwarting collaborates with scholars based in United States, South Korea and Australia. Marcus Schwarting's 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 and has published in prestigious journals such as The Journal of Chemical Physics, Chemical Communications and Nanoscale.

In The Last Decade

Marcus Schwarting

14 papers receiving 395 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marcus Schwarting United States	6	289	88	68	48	40	15	405
Sebastiaan P. Huber Switzerland	10	411 1.4×	117 1.3×	34 0.5×	41 0.9×	34 0.8×	16	543
Carl S. Adorf United States	9	408 1.4×	105 1.2×	42 0.6×	40 0.8×	23 0.6×	13	570
Casper Welzel Andersen Denmark	7	488 1.7×	124 1.4×	161 2.4×	32 0.7×	54 1.4×	11	623
Martin Uhrin Switzerland	6	574 2.0×	218 2.5×	33 0.5×	41 0.9×	75 1.9×	7	726
Max C. Gallant United States	4	317 1.1×	119 1.4×	28 0.4×	47 1.0×	43 1.1×	8	505
Bernardus Rendy United States	4	287 1.0×	113 1.3×	24 0.4×	46 1.0×	41 1.0×	8	472
David Milsted United States	4	285 1.0×	105 1.2×	23 0.3×	46 1.0×	41 1.0×	6	481
Steven B. Torrisi United States	12	463 1.6×	171 1.9×	50 0.7×	38 0.8×	92 2.3×	21	619
Cher Tian Ser Canada	4	288 1.0×	121 1.4×	22 0.3×	88 1.8×	34 0.8×	4	479
Fernando Gargiulo Switzerland	8	571 2.0×	216 2.5×	21 0.3×	30 0.6×	31 0.8×	9	642

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

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Brenner, David A., et al.. (2024). Technical and Religious Perspectives on AI Misinformation and Disinformation. SSRN Electronic Journal. 2 indexed citations

Ward, Logan, Steven R. Wangen, Marcus Schwarting, et al.. (2024). Foundry-ML - Software and Services to Simplify Accessto Machine Learning Datasets in Materials Science. The Journal of Open Source Software. 9(93). 5467–5467. 3 indexed citations

Lake, John R., et al.. (2024). Machine learning-guided discovery of gas evolving electrode bubble inactivation. Nanoscale. 17(3). 1270–1281. 4 indexed citations

Schwarting, Marcus, et al.. (2024). Reverse AFM Height Map Search: Content-Based Topography Retrieval via Self-Supervised Deep Learning. Integrating materials and manufacturing innovation. 13(4). 942–954. 2 indexed citations

Schwarting, Marcus, Nathan A. Seifert, Michael J. Davis, et al.. (2024). Twins in rotational spectroscopy: Does a rotational spectrum uniquely identify a molecule?. The Journal of Chemical Physics. 161(4).

Schwarting, Marcus, et al.. (2023). Truth and Regret: Large Language Models, the Quran, and Misinformation. Theology and Science. 21(4). 557–563. 5 indexed citations

Schneider, Ludwig, Marcus Schwarting, Heyi Liang, et al.. (2022). In silico active learning for small molecule properties. Molecular Systems Design & Engineering. 7(12). 1611–1621. 7 indexed citations

Schwarting, Marcus, et al.. (2022). 3D Convolutional Neural Networks for Dendrite Segmentation Using Fine-Tuning and Hyperparameter Optimization. SSRN Electronic Journal. 1 indexed citations

Schwarting, Marcus, et al.. (2022). Segmentation of tomography datasets using 3D convolutional neural networks. Computational Materials Science. 216. 111847–111847. 5 indexed citations

10.

Li, Xiangguo, Ben Blaiszik, Marcus Schwarting, et al.. (2021). Graph network based deep learning of bandgaps. The Journal of Chemical Physics. 155(15). 154702–154702. 16 indexed citations

11.

Blaiszik, Ben, Logan Ward, Marcus Schwarting, et al.. (2019). A data ecosystem to support machine learning in materials science. MRS Communications. 9(4). 1125–1133. 124 indexed citations

12.

Zakutayev, Andriy, Marcus Schwarting, John D. Perkins, et al.. (2018). An open experimental database for exploring inorganic materials. Scientific Data. 5(1). 180053–180053. 153 indexed citations

13.

Kumari, Sudesh, et al.. (2018). Synergistic plasma-assisted electrochemical reduction of nitrogen to ammonia. Chemical Communications. 54(95). 13347–13350. 58 indexed citations

14.

Schwarting, Marcus, Sebastian Siol, Kevin R. Talley, Andriy Zakutayev, & Caleb Phillips. (2017). Automated algorithms for band gap analysis from optical absorption spectra. DORA Empa (Swiss Federal Laboratories for Materials Science and Technology (Empa)). 10. 43–52. 22 indexed citations

15.

Schwarting, Marcus, et al.. (2015). On the Obfuscation of Image Sensor Fingerprints. 66–69. 3 indexed citations

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.

Explore authors with similar magnitude of impact