Julia Schiffner
Impact in
- Reproductive Medicine top 5%
- Ovarian function and disorders
- Reproductive Health and Technologies
- Emergency Medical Services top 10%
- Disaster Response and Management
Papers in
-
- Neural Networks and Applications 3
- Machine Learning and Data Classification 3
-
- Music Technology and Sound Studies 3
- Face and Expression Recognition 2
- Co-authors
- Bernd Bischl (4 shared papers)Michel Lang (1 shared paper)Zachary Jones (1 shared paper)Jakob Richter (1 shared paper)Lars Kotthoff (1 shared paper)Giuseppe Casalicchio (1 shared paper)Sarah Johnson (4 shared papers)Christian Gnoth (5 shared papers)
- Journals
- Frontiers in Public Health (2 papers)The European Journal of Contraception & Reproductive Health Care (2 papers)Journal of Machine Learning Research (1 paper)Fertility and Sterility (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)
- Partner nations
- GermanyItalyUnited States
In The Last Decade
Julia Schiffner
27 papers receiving 537 citations
Peers
Comparison fields: 5 of 130
- Reproductive Medicine 113
- Emergency Medical Services 37
- Emergency Medicine 24
- Infectious Diseases 43
- Artificial Intelligence 86
Countries citing papers authored by Julia Schiffner
This map shows the geographic impact of Julia Schiffner'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 Julia Schiffner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Schiffner more than expected).
Fields of papers citing papers by Julia Schiffner
This network shows the impact of papers produced by Julia Schiffner. 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 Julia Schiffner. The network helps show where Julia Schiffner may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Schiffner, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 221 | |
| 2 | 2015 | 94 | |
| 3 | 2015 | 37 | |
| 4 | 2015 | 27 | |
| 5 | 2021 | 25 | |
| 6 | 2017 | 20 | |
| 7 | 2020 | 19 | |
| 8 | 2013 | 18 | |
| 9 | 2017 | 18 | |
| 10 | 2018 | 17 | |
| 11 | 1977 | 16 | |
| 12 | 2016 | 14 | |
| 13 | 2008 | 6 | |
| 14 | 2019 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2013 | 3 | |
| 17 | 2018 | 2 | |
| 18 | 2009 | 2 | |
| 19 | 2012 | 2 | |
| 20 | 2013 | 2 |
About Julia Schiffner
Julia Schiffner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Reproductive Medicine, Signal Processing and Infectious Diseases, having authored 29 papers that have together received 559 indexed citations. Recurring topics across this work include Ovarian function and disorders (4 papers), Music and Audio Processing (4 papers), Music Technology and Sound Studies (3 papers), Neural Networks and Applications (3 papers), Machine Learning and Data Classification (3 papers), Control Systems and Identification (2 papers), Data Mining Algorithms and Applications (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Reproductive Medicine (113 citations), Emergency Medical Services (37 citations), Emergency Medicine (24 citations), Infectious Diseases (43 citations) and Artificial Intelligence (86 citations). Julia Schiffner has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Bernd Bischl, Michel Lang, Zachary Jones, Jakob Richter, Lars Kotthoff, Giuseppe Casalicchio, Sarah Johnson, Christian Gnoth, Erhard Godehardt and Günter Freundl. Their work appears in journals such as Frontiers in Public Health, The European Journal of Contraception & Reproductive Health Care, Journal of Machine Learning Research, Fertility and Sterility and Clinical Chemistry and Laboratory Medicine (CCLM).
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.