Stefan Schmitt

2.8k citations
74 papers · 1.8k indexed · h-index 20
Topics
Atmospheric and Environmental Gas Dynamics (9 papers)Computational Drug Discovery Methods (8 papers)Multiple Myeloma Research and Treatments (8 papers)

In The Last Decade

Stefan Schmitt

72 papers receiving 1.8k citations

Peers

Stefan Schmitt
Comparison fields: 5 of 133
  • Molecular Biology 833
  • Computational Theory and Mathematics 517
  • Materials Chemistry 398
  • Organic Chemistry 223
  • Electrical and Electronic Engineering 181
Replace Romano T. Kroemer with:
Romano T. Kroemer United Kingdom
Daria B. Kokh Germany
Chung F. Wong United States
Tong Zhu China
Gregory J. Tawa United States
Matthew Eldridge United Kingdom
Wenbo Yu United States
Paul A. Rejto United States
Daan P. Geerke Netherlands
Rita C. Guedes Portugal
Stefan Schmitt relative to Romano T. Kroemer United Kingdom Romano T. Kroemer's profile →
Citations per field
00.5×3.1×
Romano T. Kroemer · 1×
Citations per year

Countries citing papers authored by Stefan Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Schmitt

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 10
3 13
4 9
5 32
6 24
7
HALVIRE: HALogen activation in Volcanic plumes In Reaction chamber Experiments
1
8 6
9 28
10
Autonomous long-term trace gas measurements using Long-Path Differential Optical Absorption Spectroscopy
1
11 1
12 2
13 65
14 11
15 0
16 41
17
Controlling the Quantum Properties of Optical Solitons in Fibres
1
18 89
19 2
20 2

About Stefan Schmitt

Stefan Schmitt is a scholar working on Hematology, Atmospheric Science and Computational Theory and Mathematics, having authored 74 papers that have together received 1.8k indexed citations. Recurring topics across this work include Atmospheric and Environmental Gas Dynamics (9 papers), Computational Drug Discovery Methods (8 papers) and Multiple Myeloma Research and Treatments (8 papers). The work is most often cited by research in Computational Theory and Mathematics (517 citations), Molecular Biology (833 citations) and Materials Chemistry (398 citations). Stefan Schmitt has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include G. Klebe, Daniel Kühn, Dilmurat Yusuf, A. M. Davis, Gerard J. Kleywegt, Anders Hogner, Jonas Boström, Hjalmar Kurzen, Thomas Möhler and Helmut Näher. Their work appears in journals such as Cell, Physical Review Letters and Angewandte Chemie International Edition.

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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