Ingrid Spadinger

2.0k citations
80 papers · 1.5k · h-index 22

Impact in

Papers in

Ingrid Spadinger

78 papers receiving 1.5k citations

Peers

Ingrid Spadinger
Comparison fields: 5 of 74
  • Pulmonary and Respiratory Medicine 991
  • Radiation 252
  • Radiology, Nuclear Medicine and Imaging 214
  • Computer Vision and Pattern Recognition 169
  • Obstetrics and Gynecology 40
Replace Matthias Söhn with:
Matthias Söhn Germany
Jonathan Sykes Australia
Peter Kuess Austria
Ivan Buzurović United States
Pieter Slagmolen Belgium
B. Rigaud France
Xue Dong United States
Junyi Xia United States
Hesheng Wang United States
Ingrid Spadinger relative to Matthias Söhn Germany Matthias Söhn's profile →
Citations per field
00.5×4.1×
Matthias Söhn · 1×
Citations per year

Countries citing papers authored by Ingrid Spadinger

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Spadinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008140
2 201289
3 201989
4 200279
5 200971
6 201064
7 199257
8 201056
9 201154
10 201349
11 200848
12 201447
13 200847
14 200943
15 200238
16 201533
17 198926
18 201225
19 201325
20 200225

About Ingrid Spadinger

Ingrid Spadinger is a scholar working on Pulmonary and Respiratory Medicine, Biomedical Engineering, Radiation, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 80 papers that have together received 1.5k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (45 papers), Advanced Radiotherapy Techniques (14 papers), Medical Image Segmentation Techniques (11 papers), Prostate Cancer Treatment and Research (10 papers), Medical Imaging and Analysis (9 papers), Endometrial and Cervical Cancer Treatments (5 papers), Cell Image Analysis Techniques (4 papers) and Radiation Therapy and Dosimetry (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (991 citations), Radiation (252 citations), Radiology, Nuclear Medicine and Imaging (214 citations), Computer Vision and Pattern Recognition (169 citations) and Obstetrics and Gynecology (40 citations). Ingrid Spadinger has collaborated with scholars based in Canada, Australia and Switzerland. Frequent co-authors include William Morris, Mira Keyes, Tom Pickles, Septimiu E. Salcudean, Michael McKenzie, Branko Palcic, Veronika Moravan, Vincent Lapointe, Howard Pai and S. Sara Mahdavi. Their work appears in journals such as Brachytherapy, International Journal of Radiation Oncology*Biology*Physics, Medical Physics, Physics in Medicine and Biology and Radiotherapy and Oncology.

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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