P Galavis

543 citations
21 papers · 413 · h-index 6

Impact in

Papers in

P Galavis

19 papers receiving 413 citations

Peers

P Galavis
Comparison fields: 5 of 35
  • Radiology, Nuclear Medicine and Imaging 367
  • Radiation 92
  • Health Informatics 7
  • Pulmonary and Respiratory Medicine 140
  • Biomedical Engineering 136
Replace Kristin A. Plichta with:
Kristin A. Plichta United States
Christian Hollensen Denmark
Yushi Chang United States
Yao Ai China
Claudio Votta Italy
Ngoneh Jallow United States
Ronrick Da‐ano France
Aditi Iyer United States
Adrien Le Pogam France
K. Gnep France
P Galavis relative to Kristin A. Plichta United States Kristin A. Plichta's profile →
Citations per field
00.5×10×20×34×
Kristin A. Plichta · 1×
Citations per year

Countries citing papers authored by P Galavis

Since Specialization
Citations

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

Fields of papers citing papers by P Galavis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P Galavis, 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 P Galavis Line = papers co-authored together P Galavis 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 2010281
2 201953
3 201727
4 202116
5 20237
6 20217
7 20234
8 20214
9 20143
10 20222
11 20191
12 20221
13 20211
14 20161
15 20141
16 20211
17 20131
18
Development of a software platform for evaluating automatic PET segmentation methods
20141
19 20181
20 20240

About P Galavis

P Galavis is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Biomedical Engineering, Pulmonary and Respiratory Medicine and Hematology, having authored 21 papers that have together received 413 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (12 papers), Medical Imaging Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced X-ray and CT Imaging (5 papers), Radiation Therapy and Dosimetry (4 papers), Advances in Oncology and Radiotherapy (4 papers), Breast Cancer Treatment Studies (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (367 citations), Radiation (92 citations), Health Informatics (7 citations), Pulmonary and Respiratory Medicine (140 citations) and Biomedical Engineering (136 citations). P Galavis has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Robert Jeraj, Bhudatt Paliwal, Christian Hollensen, Ngoneh Jallow, Indra J. Das, Shannon Holmes, Lei Hu, Jose R. Teruel, Naamit K. Gerber and Aditya Apte. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Journal of Applied Clinical Medical Physics, Frontiers in Oncology 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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