Florian Schmidt

2.0k citations
35 papers · 449 · h-index 13

Impact in

Papers in

    • Genomics and Chromatin Dynamics 14
    • Single-cell and spatial transcriptomics 8
    • Gene expression and cancer classification 7
    • Epigenetics and DNA Methylation 5
    • RNA Research and Splicing 5
    • RNA modifications and cancer 3
    • Digital Economy and Work Transformation 3

Florian Schmidt

34 papers receiving 441 citations

Peers

Florian Schmidt
Comparison fields: 5 of 100
  • Marketing 56
  • Computer Science Applications 24
  • Cancer Research 56
  • Molecular Biology 226
  • Biophysics 18
Replace Hallam Stevens with:
Hallam Stevens Singapore
Mark Stubbs United Kingdom
Jorge L. Contreras United States
Sebastian Kaiser Germany
J. Leon Zhao China
Kim South Korea
Tin Trung Nguyen Vietnam
Carmen Fischer Germany
Emőke-Ágnes Horvát United States
Hubert Hubert Germany
Florian Schmidt relative to Hallam Stevens Singapore Hallam Stevens's profile →
Citations per field
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Citations per year

Countries citing papers authored by Florian Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Florian Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Florian Schmidt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Florian Schmidt Line = papers co-authored together Florian Schmidt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Digital labour markets in the platform economy: mapping the political challenges of crowd work and gig work
201780
2 202143
3 202028
4 201926
5 201326
6 201825
7 202021
8 201817
9 202016
10 202414
11 202114
12 201714
13 202012
14 202112
15 202111
16 202311
17
Crowdproduktion von Trainingsdaten: Zur Rolle von Online-Arbeit beim Trainieren autonomer Fahrzeuge
20199
18 20219
19 20229
20 20238

About Florian Schmidt

Florian Schmidt is a scholar working on Molecular Biology, Sociology and Political Science, Artificial Intelligence, Management of Technology and Innovation and Marketing, having authored 35 papers that have together received 449 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (14 papers), Single-cell and spatial transcriptomics (8 papers), Gene expression and cancer classification (7 papers), Epigenetics and DNA Methylation (5 papers), RNA Research and Splicing (5 papers), Digital Economy and Work Transformation (3 papers), RNA modifications and cancer (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Marketing (56 citations), Computer Science Applications (24 citations), Cancer Research (56 citations), Molecular Biology (226 citations) and Biophysics (18 citations). Florian Schmidt has collaborated with scholars based in Germany, Singapore and United Kingdom. Frequent co-authors include Marcel H. Schulz, Fabian Kern, Nina Baumgarten, Peter Ebert, Yannic Kilcher, Mohammad Amin Honardoost, Nirmala Arul Rayan, Bobby Ranjan, Markus List and Shyam Prabhakar. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, GigaScience, Blood and Food and Chemical Toxicology.

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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