Gėrard De Geer
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging
- Physiology
- Surgery
- Endocrine and Autonomic Systems top 10%
- Co-authors
- G GamsuW. Richard WebbRichard A. SollittoEric J. MooreA R MargulisHedvig HricakBarbara JensenGrégoire Dooms
- Topics
- Radiomics and Machine Learning in Medical Imaging (3 papers)Lung Cancer Diagnosis and Treatment (3 papers)Atomic and Subatomic Physics Research (2 papers)
- Cited by
- Endocrine and Autonomic SystemsPulmonary and Respiratory MedicineRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Gėrard De Geer
13 papers receiving 371 citations
Peers
Comparison fields: 5 of 72
- Pulmonary and Respiratory Medicine 158
- Radiology, Nuclear Medicine and Imaging 109
- Physiology 97
- Surgery 79
- Endocrine and Autonomic Systems 54
Countries citing papers authored by Gėrard De Geer
This map shows the geographic impact of Gėrard De Geer'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 Gėrard De Geer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gėrard De Geer more than expected).
Fields of papers citing papers by Gėrard De Geer
This network shows the impact of papers produced by Gėrard De Geer. 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 Gėrard De Geer. The network helps show where Gėrard De Geer may publish in the future.
Co-authorship network of co-authors of Gėrard De Geer
This figure shows the co-authorship network connecting the top 25 collaborators of Gėrard De Geer. A scholar is included among the top collaborators of Gėrard De Geer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gėrard De Geer. Gėrard De Geer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 30 | |
| 3 | 14 | |
| 4 | 10 | |
| 5 | 81 | |
| 6 | 5 | |
| 7 | MR characteristics of benign lymph node enlargement in sarcoidosis and Castleman's disease. | 16 |
| 8 | 38 | |
| 9 | 30 | |
| 10 | 54 | |
| 11 | 38 | |
| 12 | 4 | |
| 13 | 68 |
About Gėrard De Geer
Gėrard De Geer is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Endocrine and Autonomic Systems, having authored 13 papers that have together received 392 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Atomic and Subatomic Physics Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (54 citations), Pulmonary and Respiratory Medicine (158 citations) and Radiology, Nuclear Medicine and Imaging (109 citations). Gėrard De Geer has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include G Gamsu, W. Richard Webb, W. Richard Webb, Richard A. Sollitto, Eric J. Moore, A R Margulis, Hedvig Hricak, Barbara Jensen, Grégoire Dooms and D. Tscholakoff. Their work appears in journals such as Radiology, American Journal of Roentgenology and Investigative Radiology.
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.