T Mackie

6.4k citations
96 papers · 4.7k indexed · 2 hit papers · h-index 31

Impact in

Papers in

T Mackie

92 papers receiving 4.6k citations

Hit Papers

BEAM: A Monte Carlo code to simulate radiotherapy treatment units 1995 · 1.2k citations
1.2k19932026200420152505007501000

Peers

T Mackie
Comparison fields: 5 of 82
  • Radiation 4.2k
  • Radiology, Nuclear Medicine and Imaging 2.9k
  • Pulmonary and Respiratory Medicine 3.1k
  • Biomedical Engineering 1.2k
  • Genetics 275
Replace Ali S. Meigooni with:
Ali S. Meigooni United States
Alan E. Nahum United Kingdom
Indrin J. Chetty United States
M. Saiful Huq United States
D Followill United States
Indra J. Das United States
Mark J. Rivard United States
Eric Klein United States
C Yu United States
W. F. Hanson United States
T Mackie relative to Ali S. Meigooni United States Ali S. Meigooni's profile →
Citations per field
00.5×1.5×
Ali S. Meigooni · 1×
Citations per year

Countries citing papers authored by T Mackie

Since Specialization
Citations

This map shows the geographic impact of T Mackie'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 T Mackie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Mackie more than expected).

Fields of papers citing papers by T Mackie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201120
2 201015
3 201011
4 200921
5 200978
6 20087
7 20073
8 200666
9 20056
10 200526
11 2004157
12 200498
13 2003108
14 200241
15 200093
16 199938
17 199910
18 199646
19
Tomotherapy: A new concept for the delivery of dynamic conformal radiotherapy
Hit paper breakdown →
1993820
20 199128

About T Mackie

T Mackie is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Otorhinolaryngology and Biomedical Engineering, having authored 96 papers that have together received 4.7k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (76 papers), Medical Imaging Techniques and Applications (46 papers), Radiation Therapy and Dosimetry (36 papers), Advanced X-ray and CT Imaging (18 papers), Radiation Dose and Imaging (14 papers), Radiation Detection and Scintillator Technologies (11 papers), Radiation Effects and Dosimetry (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Radiation (4.2k citations), Radiology, Nuclear Medicine and Imaging (2.9k citations), Pulmonary and Respiratory Medicine (3.1k citations), Biomedical Engineering (1.2k citations) and Genetics (275 citations). T Mackie has collaborated with scholars based in United States, Canada and Slovenia. Frequent co-authors include D. W. O. Rogers, G Ding, Bruce Faddegon, Paul Reckwerdt, Chao Ma, Bhudatt R. Paliwal, Timothy Holmes, Joseph O. Deasy, James N. Yang and G Olivera. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology, Radiotherapy and Oncology and Veterinary Radiology & Ultrasound.

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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