W. Stern

2.5k citations
42 papers · 860 · h-index 14

Impact in

Papers in

W. Stern

32 papers receiving 807 citations

Peers

W. Stern
Comparison fields: 5 of 92
  • Obstetrics and Gynecology 146
  • Pathology and Forensic Medicine 275
  • Pediatrics, Perinatology and Child Health 127
  • Neurology 87
  • Developmental Neuroscience 24
Replace Ö. Özsarlak with:
Ö. Özsarlak Belgium
Ianina Scheer Switzerland
Hidemasa Uematsu Japan
Yuriko Suzuki Japan
Kevin L. Berger United States
Nathaniel Wycliffe United States
M Shakudo Japan
Magdalena Sokolska United Kingdom
Kenji Matsuzaki Japan
N. Rocourt France
W. Stern relative to Ö. Özsarlak Belgium Ö. Özsarlak's profile →
Citations per field
00.5×12×
Ö. Özsarlak · 1×
Citations per year

Countries citing papers authored by W. Stern

Since Specialization
Citations

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

Fields of papers citing papers by W. Stern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside W. Stern, 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 W. Stern Line = papers co-authored together W. Stern links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984179
2 2014156
3 199785
4 201578
5 201951
6 201551
7 201828
8 201928
9 201428
10 202319
11
Complications in fetal macrosomia.
198419
12 202216
13 198815
14 201813
15 200010
16 20229
17 19859
18 19658
19
The neural network of sensory-substitution object shape recognition
20117
20 19896

About W. Stern

W. Stern is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Mechanics of Materials, having authored 42 papers that have together received 860 indexed citations. Recurring topics across this work include Plasma Diagnostics and Applications (8 papers), Laser Design and Applications (7 papers), Multiple Sclerosis Research Studies (6 papers), Laser-induced spectroscopy and plasma (5 papers), Advanced Frequency and Time Standards (4 papers), Spectroscopy and Laser Applications (4 papers), Advanced MRI Techniques and Applications (4 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Obstetrics and Gynecology (146 citations), Pathology and Forensic Medicine (275 citations), Pediatrics, Perinatology and Child Health (127 citations), Neurology (87 citations) and Developmental Neuroscience (24 citations). W. Stern has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include N Jagani, Roland G. Henry, Adiel Fleischer, Peggy Blattner, George Farmakides, Harold Schulman, Nico Papinutto, Stephen L. Hauser, Eduardo Caverzasi and Regina Schlaeger. Their work appears in journals such as Multiple Sclerosis Journal, Neurology, Applied Physics Letters, Annals of Neurology and American Journal of Obstetrics and Gynecology.

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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