Philip Batchelor

1.9k citations
30 papers · 1.4k · h-index 18

Impact in

Papers in

Philip Batchelor

29 papers receiving 1.4k citations

Peers

Philip Batchelor
Comparison fields: 5 of 91
  • Computational Mathematics 67
  • Radiology, Nuclear Medicine and Imaging 880
  • Developmental Neuroscience 54
  • Neurology 87
  • Pediatrics, Perinatology and Child Health 112
Replace F.A. Jolesz with:
F.A. Jolesz United States
Ken Sakaie United States
Matthias Weigel Switzerland
Timothy M. Shepherd United States
Dirk H. J. Poot Netherlands
A. Nabavi Germany
Benoît Scherrer United States
James G. Malcolm United States
Peter Savadjiev United States
Yaniv Gur United States
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Citations per field
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F.A. Jolesz · 1×
Citations per year

Countries citing papers authored by Philip Batchelor

Since Specialization
Citations

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

Fields of papers citing papers by Philip Batchelor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005190
2 2002169
3 2012135
4 2004126
5 2003110
6 201380
7 201175
8 200274
9 200655
10 200654
11 201042
12 201239
13 201237
14 201032
15 201030
16 200827
17 200925
18 200718
19 201214
20 20119

About Philip Batchelor

Philip Batchelor is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Computational Mathematics, Atomic and Molecular Physics, and Optics and Computational Mechanics, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (22 papers), Advanced Neuroimaging Techniques and Applications (11 papers), Cardiac Imaging and Diagnostics (6 papers), Medical Imaging Techniques and Applications (6 papers), Cardiovascular Function and Risk Factors (5 papers), MRI in cancer diagnosis (4 papers), Atomic and Subatomic Physics Research (3 papers) and Tensor decomposition and applications (3 papers). The work is most often cited by research in Computational Mathematics (67 citations), Radiology, Nuclear Medicine and Imaging (880 citations), Developmental Neuroscience (54 citations), Neurology (87 citations) and Pediatrics, Perinatology and Child Health (112 citations). Philip Batchelor has collaborated with scholars based in United Kingdom, France and Chile. Frequent co-authors include David Atkinson, David Hill, Tobias Schaeffter, Alan Connelly, Fernando Calamante, Claudia Prieto, Joseph V. Hajnal, Muhammad Usman, David J. Larkman and Pablo Irarrázaval. Their work appears in journals such as Magnetic Resonance in Medicine, IEEE Transactions on Medical Imaging, Medical Image Analysis, Molecular and Cellular Neuroscience and Physics in Medicine and Biology.

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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