Milan Grkovski

1.2k citations
44 papers · 550 · h-index 13

Impact in

Papers in

Milan Grkovski

41 papers receiving 545 citations

Peers

Milan Grkovski
Comparison fields: 5 of 54
  • Radiology, Nuclear Medicine and Imaging 369
  • Otorhinolaryngology 42
  • Cancer Research 126
  • Radiation 63
  • Health Informatics 8
Replace Sebastian Zschaeck with:
Sebastian Zschaeck Germany
Shozo Okamoto Japan
Rebecca Bütof Germany
Wenny J.M. Peeters Netherlands
Bianca A.W. Hoeben Netherlands
Travis C. Salzillo United States
Damiënne Marcus Netherlands
Vikram Rao Bollineni Netherlands
Barbara Lewellen United States
Haley K. Perlow United States
Milan Grkovski relative to Sebastian Zschaeck Germany Sebastian Zschaeck's profile →
Citations per field
00.5×1.5×
Sebastian Zschaeck · 1×
Citations per year

Countries citing papers authored by Milan Grkovski

Since Specialization
Citations

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

Fields of papers citing papers by Milan Grkovski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202053
2 202048
3 201747
4 201747
5 201932
6 201731
7 201731
8 201626
9 201925
10 201722
11 202314
12 201913
13 202213
14 201512
15 201212
16 201711
17 202211
18 202110
19 20189
20 20158

About Milan Grkovski

Milan Grkovski is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cancer Research, Radiation and Genetics, having authored 44 papers that have together received 550 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (31 papers), Cancer, Hypoxia, and Metabolism (12 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Radiopharmaceutical Chemistry and Applications (9 papers), Glioma Diagnosis and Treatment (7 papers), Radiation Detection and Scintillator Technologies (6 papers), Brain Metastases and Treatment (6 papers) and Advanced Radiotherapy Techniques (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (369 citations), Otorhinolaryngology (42 citations), Cancer Research (126 citations), Radiation (63 citations) and Health Informatics (8 citations). Milan Grkovski has collaborated with scholars based in United States, Spain and Slovenia. Frequent co-authors include John L. Humm, Heiko Schöder, Nancy Y. Lee, Pat Zanzonico, Sean Carlin, Aditya Apte, Joseph O. Deasy, Neeta Pandit‐Taskar, Joseph A. O’Donoghue and Jung Hun Oh. Their work appears in journals such as Journal of Nuclear Medicine, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, EJNMMI Research, Physics in Medicine and Biology and European Journal of Nuclear Medicine and Molecular Imaging.

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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