Florian Schmidt
Impact in
- Marketing top 10%
- Sharing Economy and Platforms
- Computer Science Applications top 10%
Papers in
-
- Genomics and Chromatin Dynamics 13
- Single-cell and spatial transcriptomics 7
- Gene expression and cancer classification 5
- Epigenetics and DNA Methylation 5
-
- Digital Economy and Work Transformation 3
- Co-authors
- Marcel H. Schulz (15 shared papers)Fabian Kern (2 shared papers)Yannic Kilcher (1 shared paper)Peter Ebert (3 shared papers)Nina Baumgarten (6 shared papers)Nirmala Arul Rayan (5 shared papers)Shyam Prabhakar (5 shared papers)Mohammad Amin Honardoost (4 shared papers)
- Journals
- Nucleic Acids Research (7 papers)Bioinformatics (4 papers)GigaScience (2 papers)Nature Communications (1 paper)Cell Reports (1 paper)
- Partner nations
- GermanySingaporeUnited States
In The Last Decade
Florian Schmidt
34 papers receiving 459 citations
Peers
Comparison fields: 5 of 98
- Marketing 55
- Computer Science Applications 25
- Cancer Research 45
- Molecular Biology 210
- Biophysics 16
Countries citing papers authored by Florian Schmidt
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
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.
All Works
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 | 2017 | 81 |
| 2 | 2021 | 45 | |
| 3 | 2020 | 30 | |
| 4 | 2013 | 27 | |
| 5 | 2019 | 26 | |
| 6 | 2018 | 25 | |
| 7 | 2020 | 21 | |
| 8 | 2024 | 20 | |
| 9 | 2018 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2017 | 15 | |
| 12 | 2021 | 14 | |
| 13 | 2023 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2020 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2021 | 10 | |
| 18 | Crowdproduktion von Trainingsdaten: Zur Rolle von Online-Arbeit beim Trainieren autonomer Fahrzeuge | 2019 | 9 |
| 19 | 2022 | 9 | |
| 20 | 2023 | 8 |
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 467 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (13 papers), Single-cell and spatial transcriptomics (7 papers), Gene expression and cancer classification (5 papers), Epigenetics and DNA Methylation (5 papers), Digital Economy and Work Transformation (3 papers), Natural Language Processing Techniques (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Sharing Economy and Platforms (2 papers). The work is most often cited by research in Marketing (55 citations), Computer Science Applications (25 citations), Cancer Research (45 citations), Molecular Biology (210 citations) and Biophysics (16 citations). Florian Schmidt has collaborated with scholars based in Germany, Singapore and United States. Frequent co-authors include Marcel H. Schulz, Fabian Kern, Yannic Kilcher, Peter Ebert, Nina Baumgarten, Nirmala Arul Rayan, Shyam Prabhakar, Mohammad Amin Honardoost, Bobby Ranjan and Markus List. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, GigaScience, Nature Communications and Cell Reports.
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.