David S. Flynn

1.2k citations
40 papers · 840 indexed · 1 hit paper · h-index 10

David S. Flynn

34 papers receiving 801 citations

Hit Papers

HEVC Complexity and Implementation Analysis5532012202620162021100200300400500

Peers

David S. Flynn
Comparison fields: 5 of 46
  • Signal Processing 614
  • Computer Vision and Pattern Recognition 652
  • Nuclear and High Energy Physics 98
  • Radiation 49
  • Computer Graphics and Computer-Aided Design 12
Replace António Navarro with:
António Navarro Portugal
George Eichmann United States
Roman Novak Slovenia
Figen S. Öktem Türkiye
Emmanuel Soubies France
G. Vagliasindi Italy
Liangjian Wen China
K. Nelson United States
Jakub Svoboda Czechia
Irène Waldspurger France
David S. Flynn relative to António Navarro Portugal António Navarro's profile →
Citations per field
00.5×4.5×
António Navarro · 1×
Citations per year

Countries citing papers authored by David S. Flynn

Since Specialization
Citations

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

Fields of papers citing papers by David S. Flynn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Flynn. 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 David S. Flynn. The network helps show where David S. Flynn may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201918
2 201595
3
Extreme Partnership in Afghanistan: Arghandab District, Kandahar Province, 2010-2011
20123
4 20041
5 20035
6 20021
7 20011
8 20005
9 19991
10 19970
11 19962
12 19951
13 19952
14 19943
15 198723
16 19872
17 198017
18 197911
19 197812
20 19761

About David S. Flynn

David S. Flynn is a scholar working on Instrumentation, Radiation and Nuclear and High Energy Physics, having authored 40 papers that have together received 840 indexed citations. Recurring topics across this work include Infrared Target Detection Methodologies (14 papers), Nuclear physics research studies (9 papers), Advanced Vision and Imaging (7 papers), Advanced Measurement and Detection Methods (7 papers), Calibration and Measurement Techniques (6 papers), Optical measurement and interference techniques (6 papers), Video Coding and Compression Technologies (5 papers) and X-ray Spectroscopy and Fluorescence Analysis (5 papers). The work is most often cited by research in Signal Processing (614 citations), Computer Vision and Pattern Recognition (652 citations) and Nuclear and High Energy Physics (98 citations). David S. Flynn has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Karsten Sühring, Frank Bossen, Benjamin Bross, F. Gabbard, R. L. Hershberger, Matteo Naccari, Tung Nguyen, Joel Solé, Jizheng Xu and Detlev Marpe. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms and IEEE Journal of Selected Topics in Signal Processing.

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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