S. Tetar

740 citations
21 papers · 526 · h-index 10

Impact in

Papers in

    • Radiation Therapy and Dosimetry 5
    • Prostate Cancer Diagnosis and Treatment 5
    • Lung Cancer Diagnosis and Treatment 4
    • Renal cell carcinoma treatment 2
    • Advanced Radiotherapy Techniques 13

S. Tetar

20 papers receiving 523 citations

Peers

S. Tetar
Comparison fields: 5 of 31
  • Radiation 324
  • Radiology, Nuclear Medicine and Imaging 201
  • Pulmonary and Respiratory Medicine 235
  • Health Informatics 2
  • Otorhinolaryngology 5
Replace S. Vigorito with:
S. Vigorito Italy
P. Freislederer Germany
Tony He United States
Omar Bohoudi Netherlands
P. Lattuada Italy
Naipy Pérez United States
Tomoyasu Yashiro Japan
Dave Shepard United States
Greetje Groenendaal Netherlands
M. Philippens Netherlands
S. Tetar relative to S. Vigorito Italy S. Vigorito's profile →
Citations per field
00.5×4.0×
S. Vigorito · 1×
Citations per year

Countries citing papers authored by S. Tetar

Since Specialization
Citations

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

Fields of papers citing papers by S. Tetar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019137
2 2019131
3 202052
4 201534
5 201833
6 202031
7 201925
8 202117
9 201715
10 20239
11 20189
12 20158
13 20226
14 20175
15 20174
16 20173
17 20182
18 20172
19 20172
20 20201

About S. Tetar

S. Tetar is a scholar working on Pulmonary and Respiratory Medicine, Radiation, Radiology, Nuclear Medicine and Imaging, Surgery and Genetics, having authored 21 papers that have together received 526 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (13 papers), Radiation Therapy and Dosimetry (5 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Renal cell carcinoma treatment (2 papers), MRI in cancer diagnosis (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Radiation (324 citations), Radiology, Nuclear Medicine and Imaging (201 citations), Pulmonary and Respiratory Medicine (235 citations), Health Informatics (2 citations) and Otorhinolaryngology (5 citations). S. Tetar has collaborated with scholars based in Netherlands, Canada and United States. Frequent co-authors include A. Bruynzeel, Frank J. Lagerwaard, Ben J. Slotman, M. Palacios, Suresh Senan, Omar Bohoudi, S.S. Oei, R. Jeroen A. van Moorselaar, Cornelis J.A. Haasbeek and F. Spoelstra. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Physics and Imaging in Radiation Oncology, Radiotherapy and Oncology, Acta Oncologica and Cancers.

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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