Dan Green

2.2k citations
12 papers · 56 · h-index 4

Impact in

Papers in

Dan Green

9 papers receiving 54 citations

Peers

Dan Green
Comparison fields: 5 of 40
  • Nuclear and High Energy Physics 16
  • Radiology, Nuclear Medicine and Imaging 22
  • Radiation 7
  • Computer Science Applications 2
  • Atomic and Molecular Physics, and Optics 10
Replace J.-M. Reymond with:
J.-M. Reymond France
J. Strologas United States
F. H. Garcia Canada
J. Wear United States
K. S. Ganezer United States
B. Williamson United Kingdom
R. Granelli France
K. Kotera Japan
A. Morelos Mexico
W. Ashmanskas United States
Dan Green relative to J.-M. Reymond France J.-M. Reymond's profile →
Citations per field
00.5×
J.-M. Reymond · 1×
Citations per year

Countries citing papers authored by Dan Green

Since Specialization
Citations

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

Fields of papers citing papers by Dan Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Dan Green, 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 Dan Green Line = papers co-authored together Dan Green links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 200929
2 19908
3 20167
4 20104
5 20103
6 19942
7
Energy Flow Objects and Usage of Tracks for Energy Measurement in CMS
20021
8 19861
9 19931
10 20240
11 19940
12 20240

About Dan Green

Dan Green is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Political Science and International Relations, having authored 12 papers that have together received 56 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (5 papers), Particle Detector Development and Performance (4 papers), Computational Physics and Python Applications (2 papers), Advanced NMR Techniques and Applications (1 paper), Environmental Impact and Sustainability (1 paper), Radiation Detection and Scintillator Technologies (1 paper), Distributed and Parallel Computing Systems (1 paper) and Cognitive Radio Networks and Spectrum Sensing (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (16 citations), Radiology, Nuclear Medicine and Imaging (22 citations), Radiation (7 citations), Computer Science Applications (2 citations) and Atomic and Molecular Physics, and Optics (10 citations). Dan Green has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Rob Hawkes, Richard Bowtell, Michael Poole, Adrian Carpenter, Linda Newnes, Marcelle McManus, William C. Headley, Olga Kodolova, A. Nikitenko and Shuichi Kunori. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Cleaner Production, IEEE Transactions on Nuclear Science, Radiation Physics and Chemistry and CERN Document Server (European Organization for Nuclear Research).

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