Stefan Seritan

76 total papers · 1.0k total citations
26 papers, 682 citations indexed

About

Stefan Seritan is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Stefan Seritan has authored 26 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atomic and Molecular Physics, and Optics, 8 papers in Materials Chemistry and 6 papers in Artificial Intelligence. Recurrent topics in Stefan Seritan's work include Advanced Chemical Physics Studies (5 papers), Machine Learning in Materials Science (5 papers) and Quantum Computing Algorithms and Architecture (5 papers). Stefan Seritan is often cited by papers focused on Advanced Chemical Physics Studies (5 papers), Machine Learning in Materials Science (5 papers) and Quantum Computing Algorithms and Architecture (5 papers). Stefan Seritan collaborates with scholars based in United States, Sweden and Canada. Stefan Seritan's co-authors include Todd J. Martı́nez, B. Scott Fales, Edward G. Hohenstein, Nathan Luehr, A.V. Titov, James W. Snyder, Chenchen Song, Sara Kokkila-Schumacher, Ivan S. Ufimtsev and Christoph Bannwarth and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Stefan Seritan

25 papers receiving 666 citations

Hit Papers

TeraChem: A graphical pro... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Stefan Seritan 275 210 119 83 79 26 682
James W. Snyder 381 1.4× 139 0.7× 109 0.9× 115 1.4× 41 0.5× 16 642
Sara Kokkila-Schumacher 417 1.5× 158 0.8× 131 1.1× 195 2.3× 29 0.4× 14 720
Hugo Gattuso 213 0.8× 216 1.0× 288 2.4× 55 0.7× 45 0.6× 38 726
Max Pinheiro 259 0.9× 320 1.5× 79 0.7× 59 0.7× 20 0.3× 30 598
Dmitry Morozov 327 1.2× 124 0.6× 234 2.0× 46 0.6× 38 0.5× 51 764
Sebastian Keller 521 1.9× 173 0.8× 42 0.4× 125 1.5× 39 0.5× 17 747
Stéphanie Valleau 420 1.5× 134 0.6× 210 1.8× 80 1.0× 28 0.4× 14 575
Janus J. Eriksen 487 1.8× 171 0.8× 52 0.4× 133 1.6× 26 0.3× 31 656
Elias Rudberg 374 1.4× 322 1.5× 52 0.4× 104 1.3× 23 0.3× 25 688
Thomas Kloss 253 0.9× 186 0.9× 105 0.9× 38 0.5× 37 0.5× 35 734

Countries citing papers authored by Stefan Seritan

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Seritan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Seritan

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