J. Conway

83 papers receiving 2.5k citations

Peers

J. Conway
Comparison fields: 5 of 168
  • Radiation 369
  • Computer Vision and Pattern Recognition 550
  • Discrete Mathematics and Combinatorics 75
  • Signal Processing 258
  • Artificial Intelligence 581
Replace Guido van Rossum with:
Guido van Rossum Netherlands
Andrew L. Rukhin United States
R. A. Tapia United States
David Stirzaker United Kingdom
S. L. Singapore
Jeff Bezanson United States
Stefan Karpinski United States
Wai Wan Tsang Hong Kong
Axel Munk Germany
Arif Zaman Pakistan
J. Conway relative to Guido van Rossum Netherlands Guido van Rossum's profile →
Citations per field
00.5×10×16.8×
Guido van Rossum · 1×
Citations per year

Countries citing papers authored by J. Conway

Since Specialization
Citations

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

Fields of papers citing papers by J. Conway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982318
2 1982241
3 1983181
4 2006173
5 1986126
6 197994
7 198689
8 200175
9 196971
10 200867
11 200865
12 198565
13 199463
14 198762
15 201862
16 200659
17 200256
18 200253
19
IPEM report 103: Small field MV photon dosimetry
201053
20 200044

About J. Conway

J. Conway is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Radiation, Electrical and Electronic Engineering and Artificial Intelligence, having authored 93 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (13 papers), Ultrasound and Hyperthermia Applications (9 papers), Coding theory and cryptography (6 papers), Electrical and Bioimpedance Tomography (6 papers), Photoacoustic and Ultrasonic Imaging (6 papers), Medical Imaging Techniques and Applications (5 papers), History and Theory of Mathematics (4 papers) and Diamond and Carbon-based Materials Research (4 papers). The work is most often cited by research in Radiation (369 citations), Computer Vision and Pattern Recognition (550 citations), Discrete Mathematics and Combinatorics (75 citations), Signal Processing (258 citations) and Artificial Intelligence (581 citations). J. Conway has collaborated with scholars based in United Kingdom, United States and Nigeria. Frequent co-authors include N. J. A. Sloane, Simon Kochen, C. Bragg, Martin Robinson, Vera Pless, Edwin Aird, A.P. Anderson, Malcolm F. McGregor, Hermann Bengtson and John J. Dooley. Their work appears in journals such as IEEE Transactions on Information Theory, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, British Journal of Radiology, Radiotherapy and Oncology and International Journal of Radiation Oncology*Biology*Physics.

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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