P. Major

6.6k citations
15 papers · 313 · h-index 9

Impact in

  • Radiation top 5%
    • Radiation Detection and Scintillator Technologies
    • Advanced Radiotherapy Techniques
    • Medical Imaging Techniques and Applications
    • Advanced MRI Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • Radiopharmaceutical Chemistry and Applications

Papers in

P. Major

13 papers receiving 306 citations

Peers

P. Major
Comparison fields: 5 of 65
  • Radiation 110
  • Radiology, Nuclear Medicine and Imaging 197
  • Catalysis 14
  • Biomedical Engineering 63
  • Process Chemistry and Technology 3
Replace Sangsu Kim with:
Sangsu Kim South Korea
Srinivasarao Allu United States
Pál Mikecz Hungary
Philippe Barberet France
Changguo Ji China
Marjut Timonen Finland
Jinn‐Jer Peir Taiwan
B. Q. Lee Australia
Mark F. McLaughlin United States
E. Tsyganov United States
P. Major relative to Sangsu Kim South Korea Sangsu Kim's profile →
Citations per field
00.5×
Sangsu Kim · 1×
Citations per year

Countries citing papers authored by P. Major

Since Specialization
Citations

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

Fields of papers citing papers by P. Major

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2011100
2 201399
3 201921
4 201319
5 201117
6 201412
7 201811
8 200711
9 20069
10 20145
11 20094
12 20093
13 20132
14 20200
15 20100

About P. Major

P. Major is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Biomedical Engineering, Catalysis and Nuclear and High Energy Physics, having authored 15 papers that have together received 313 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (10 papers), Radiation Detection and Scintillator Technologies (6 papers), Advanced Radiotherapy Techniques (3 papers), Particle Detector Development and Performance (3 papers), Advanced X-ray and CT Imaging (3 papers), Ammonia Synthesis and Nitrogen Reduction (3 papers), Nanomaterials for catalytic reactions (2 papers) and Dark Matter and Cosmic Phenomena (1 paper). The work is most often cited by research in Radiation (110 citations), Radiology, Nuclear Medicine and Imaging (197 citations), Catalysis (14 citations), Biomedical Engineering (63 citations) and Process Chemistry and Technology (3 citations). P. Major has collaborated with scholars based in Hungary, United Kingdom and Italy. Frequent co-authors include Gergely Patay, Gábor Németh, Miklós Tóth, Kálmán Nagy, Christer Halldin, Andrea Varrone, Balázs Gulyás, Istvan Szanda, Kavitha Sunassee and Jenny Häggkvist. 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 Physics, Physical Review B and Chemical Papers.

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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