Fritz Lekschas

3.4k citations
16 papers · 498 indexed · h-index 10
Topics
Data Visualization and Analytics (6 papers)Biomedical Text Mining and Ontologies (5 papers)Bioinformatics and Genomic Networks (5 papers)

In The Last Decade

Fritz Lekschas

16 papers receiving 486 citations

Peers

Fritz Lekschas
Comparison fields: 5 of 78
  • Molecular Biology 348
  • Plant Science 94
  • Computer Vision and Pattern Recognition 87
  • Genetics 63
  • Artificial Intelligence 42
Replace Wim de Leeuw with:
Wim de Leeuw Netherlands
Kasper Dinkla Netherlands
Rodrigo Santamaría Spain
Martin Heß Germany
Cydney Nielsen Canada
Alexander Ku United States
Bruno Augusto Nassif Travençolo Brazil
Andreas Gerasch Germany
Wim C. de Leeuw Netherlands
Lisa Simirenko United States
Fritz Lekschas relative to Wim de Leeuw Netherlands Wim de Leeuw's profile →
Citations per field
00.5×7.2×
Wim de Leeuw · 1×
Citations per year

Countries citing papers authored by Fritz Lekschas

Since Specialization
Citations

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

Fields of papers citing papers by Fritz Lekschas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fritz Lekschas

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 3
2 2
3 3
4 3
5 12
6 24
7 18
8 292
9 10
10 30
11 42
12 9
13 3
14 12
15 22
16 13

About Fritz Lekschas

Fritz Lekschas is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Signal Processing, having authored 16 papers that have together received 498 indexed citations. Recurring topics across this work include Data Visualization and Analytics (6 papers), Biomedical Text Mining and Ontologies (5 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Molecular Biology (348 citations), Biophysics (26 citations) and Computer Vision and Pattern Recognition (87 citations). Fritz Lekschas has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Nils Gehlenborg, Hanspeter Pfister, Peter Kerpedjiev, Chuck McCallum, Soohyun Lee, Kasper Dinkla, Hendrik Strobelt, Nezar Abdennur, Nikhil Kumar and B. Alver. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and Bioinformatics.

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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