Kai Fischer

2.3k citations
66 papers · 1.7k indexed · h-index 22
Topics
Thermodynamic properties of mixtures (28 papers)Phase Equilibria and Thermodynamics (27 papers)Chemical Thermodynamics and Molecular Structure (24 papers)
Partner nations
GermanyFranceChina

In The Last Decade

Kai Fischer

63 papers receiving 1.7k citations

Peers

Kai Fischer
Comparison fields: 5 of 111
  • Biomedical Engineering 1.1k
  • Fluid Flow and Transfer Processes 660
  • Organic Chemistry 537
  • Mechanical Engineering 351
  • Filtration and Separation 199
Replace William Y. Svrcek with:
William Y. Svrcek Canada
Graham Morrison Australia
Behzad Vaferi Iran
Ross Taylor United States
Haruki Sato Japan
Mark A. Stadtherr United States
Curtis H. Whitson Norway
Ernest J. Henley United States
H.I. Britt United States
Juan A. Lazzús Chile
Kai Fischer relative to William Y. Svrcek Canada William Y. Svrcek's profile →
Citations per field
00.5×6.4×
William Y. Svrcek · 1×
Citations per year

Countries citing papers authored by Kai Fischer

Since Specialization
Citations

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

Fields of papers citing papers by Kai Fischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Fischer

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Fischer. A scholar is included among the top collaborators of Kai Fischer 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 Kai Fischer. Kai Fischer 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 1
2 0
3 0
4 41
5 1
6 6
7
StickyPillars: Robust feature matching on point clouds using Graph Neural Networks
3
8 9
9 26
10 4
11 60
12
End-to-End Security for DTLS-SRTP
1
13 113
14 15
15 10
16 30
17 13
18 35
19 82
20 6

About Kai Fischer

Kai Fischer is a scholar working on Filtration and Separation, Fluid Flow and Transfer Processes and Organic Chemistry, having authored 66 papers that have together received 1.7k indexed citations. Recurring topics across this work include Thermodynamic properties of mixtures (28 papers), Phase Equilibria and Thermodynamics (27 papers) and Chemical Thermodynamics and Molecular Structure (24 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (660 citations), Filtration and Separation (199 citations) and Biomedical Engineering (1.1k citations). Kai Fischer has collaborated with scholars based in Germany, France and China. Frequent co-authors include Jürgen Gmehling, Sven Horstmann, Juergen Gmehling, Michael Wilken, Jiding Li, Ivo Häring, Werner Riedel, Stefan Milz, E. Christian Ihmels and Martín Simón. Their work appears in journals such as Industrial & Engineering Chemistry Research, Sensors and Chemical Engineering Science.

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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