Mark J. Gooding

2.4k citations
71 papers · 1.7k · 1 hit paper · h-index 20

Impact in

Papers in

Mark J. Gooding

69 papers receiving 1.7k citations

Mark J. Gooding's Hit Papers

Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer 2017 · 273 citations
2730+3+6Years since publication50100150200250

Peers

Mark J. Gooding
Comparison fields: 5 of 93
  • Radiation 704
  • Health Informatics 102
  • Radiology, Nuclear Medicine and Imaging 707
  • Otorhinolaryngology 62
  • Biophysics 63
Replace Hidetaka Arimura with:
Hidetaka Arimura Japan
Neelam Tyagi United States
Yong Yin China
Anna M. Dinkla Netherlands
Linghong Zhou China
Geoffrey Zhang United States
Aaron D. Ward Canada
Chenyang Shen United States
Jun Zhou United States
Tyler Bradshaw United States
Mark J. Gooding relative to Hidetaka Arimura Japan Hidetaka Arimura's profile →
Citations per field
00.5×2×3×4.4×
Hidetaka Arimura · 1×
Citations per year

Countries citing papers authored by Mark J. Gooding

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Gooding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer
Hit paper breakdown →
2017273
2 2018187
3 2019155
4 2019132
5 2019113
6 201865
7 201260
8 202047
9 201146
10 202039
11 202034
12 200932
13 202028
14 200527
15 200827
16 201925
17 201625
18 201025
19 201822
20 202220

About Mark J. Gooding

Mark J. Gooding is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence, having authored 71 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (28 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), Medical Imaging Techniques and Applications (10 papers), Medical Image Segmentation Techniques (8 papers), Ultrasound Imaging and Elastography (6 papers), Lung Cancer Diagnosis and Treatment (5 papers), AI in cancer detection (5 papers) and Advanced X-ray and CT Imaging (4 papers). The work is most often cited by research in Radiation (704 citations), Health Informatics (102 citations), Radiology, Nuclear Medicine and Imaging (707 citations), Otorhinolaryngology (62 citations) and Biophysics (63 citations). Mark J. Gooding has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Wouter van Elmpt, Paul Aljabar, Devis Peressutti, André Dekker, Johan van Soest, Tim Lustberg, J. van der Stoep, Katherine A. Vallis, Eleanor Stride and Charlotte L. Brouwer. Their work appears in journals such as Radiotherapy and Oncology, Medical Physics, Physics and Imaging in Radiation Oncology, IEEE Transactions on Medical Imaging and Ultrasound in Medicine & 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.

Explore authors with similar magnitude of impact