J. Phillips

518 citations
13 papers · 227 · h-index 6

Impact in

  • Radiation top 5%
    • Advanced Radiotherapy Techniques
    • Radiation Detection and Scintillator Technologies
  • Software top 10%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research

Papers in

J. Phillips

13 papers receiving 222 citations

Peers

J. Phillips
Comparison fields: 5 of 35
  • Radiation 103
  • Software 38
  • Pulmonary and Respiratory Medicine 100
  • Radiology, Nuclear Medicine and Imaging 60
  • Information Systems 41
Replace Sreeram Narayanan with:
Sreeram Narayanan United States
Raghu Venkat United States
Marina Romanchikova United Kingdom
S. Amerio Italy
Tobias Beisel Germany
Rebecca L. Russell United States
Xiaowei Liu China
P. Zotto Italy
Supriyanto Ardjo Pawiro Indonesia
Xiao Liang United States
J. Phillips relative to Sreeram Narayanan United States Sreeram Narayanan's profile →
Citations per field
00.5×10×12.7×
Sreeram Narayanan · 1×
Citations per year

Countries citing papers authored by J. Phillips

Since Specialization
Citations

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

Fields of papers citing papers by J. Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2015109
2 201836
3 201634
4 201911
5 201910
6 20147
7 20195
8 19915
9 20173
10
Proliferation Risk Reduction Study of Alternative Spent Fuel Processing
20093
11 20152
12 20141
13 20151

About J. Phillips

J. Phillips is a scholar working on Pulmonary and Respiratory Medicine, Radiation, Information Systems, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 13 papers that have together received 227 indexed citations. Recurring topics across this work include Radiation Therapy and Dosimetry (7 papers), Advanced Radiotherapy Techniques (5 papers), Medical Imaging Techniques and Applications (3 papers), Software System Performance and Reliability (2 papers), Software Testing and Debugging Techniques (2 papers), Software Engineering Research (2 papers), Cloud Computing and Resource Management (1 paper) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Radiation (103 citations), Software (38 citations), Pulmonary and Respiratory Medicine (100 citations), Radiology, Nuclear Medicine and Imaging (60 citations) and Information Systems (41 citations). J. Phillips has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include G Sharp, Brian Winey, Peter Clarke, Tariq M. King, Kristin Stützer, Annika Jakobi, Erik W. Korevaar, Harald Paganetti, Rosalind Perrin and Martin F. Fast. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology, Physica Medica and Cureus.

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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