Julia Schiffner

767 citations
20 papers · 497 indexed · h-index 12

Impact in

Papers in

Julia Schiffner

17 papers receiving 479 citations

Peers

Julia Schiffner
Comparison fields: 5 of 134
  • Reproductive Medicine 116
  • Emergency Medical Services 40
  • Emergency Medicine 35
  • Public Health, Environmental and Occupational Health 86
  • Infectious Diseases 52
Replace Brooke Hayward with:
Brooke Hayward United States
Pierre Gillois France
Zheng­ping Liu China
Martin Seneviratne United States
Katherine Halvorsen United States
Lidija Bilić-Zulle Croatia
Ariel Alonso Belgium
Cong Liu China
Bret M. Hanlon United States
Hidetoshi Matsuo Japan
Julia Schiffner relative to Brooke Hayward United States Brooke Hayward's profile →
Citations per field
00.5×10×
Brooke Hayward · 1×
Citations per year

Countries citing papers authored by Julia Schiffner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

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

All Works

20 of 20 papers shown
#Work
1 202125
2 20203
3 202019
4 20195
5 20181
6 201816
7 201717
8 201720
9 20170
10 201613
11 201535
12 201585
13 201525
14 20151
15 2013200
16 201315
17 20120
18 20120
19
D-optimal plans for variable selection in data bases
20091
20 197716

About Julia Schiffner

Julia Schiffner is a scholar working on Reproductive Medicine, Emergency Medical Services, Emergency Medicine, Statistics, Probability and Uncertainty and Public Health, Environmental and Occupational Health, having authored 20 papers that have together received 497 indexed citations. Recurring topics across this work include Ovarian function and disorders (4 papers), Reproductive Biology and Fertility (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Reproductive Health and Technologies (2 papers), COVID-19 Clinical Research Studies (2 papers), Machine Learning and Data Classification (2 papers), Assisted Reproductive Technology and Twin Pregnancy (2 papers) and Disaster Response and Management (2 papers). The work is most often cited by research in Reproductive Medicine (116 citations), Emergency Medical Services (40 citations), Emergency Medicine (35 citations), Public Health, Environmental and Occupational Health (86 citations) and Infectious Diseases (52 citations). Julia Schiffner has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Bernd Bischl, Lars Kotthoff, Zachary Jones, Michel Lang, Giuseppe Casalicchio, Jakob Richter, Christian Gnoth, Günter Freundl, Sarah Johnson and Erhard Godehardt. Their work appears in journals such as The European Journal of Contraception & Reproductive Health Care, Frontiers in Public Health, Clinical Chemistry and Laboratory Medicine (CCLM), Der Unfallchirurg and Archives of Gynecology and Obstetrics.

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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