J.F. Doherty

1.2k citations
82 papers · 915 · h-index 15

Impact in

Papers in

J.F. Doherty

73 papers receiving 835 citations

Peers

J.F. Doherty
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 425
  • Signal Processing 164
  • Artificial Intelligence 200
  • Aerospace Engineering 120
  • Computational Mechanics 99
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Minli Yao China
Marci Hoffman United States
G.A. Mian Italy
Bin Tang China
Harish Parthasarathy India
Weimin Jia China
Kai‐Bor Yu United States
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Colin C. Murphy Ireland
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Citations per year

Countries citing papers authored by J.F. Doherty

Since Specialization
Citations

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

Fields of papers citing papers by J.F. Doherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside J.F. Doherty, 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.F. Doherty Line = papers co-authored together J.F. Doherty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002301
2 201156
3 201153
4 200847
5 200244
6 199738
7 199730
8 200329
9 199623
10 201119
11 200916
12 199416
13 201015
14 199615
15 200815
16
A Watermarking Algorithm for Fingerprinting Intelligence Images
200113
17 200410
18 20159
19 20099
20 20068

About J.F. Doherty

J.F. Doherty is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 82 papers that have together received 915 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (30 papers), Wireless Communication Networks Research (22 papers), Advanced Adaptive Filtering Techniques (21 papers), Blind Source Separation Techniques (11 papers), Ionosphere and magnetosphere dynamics (8 papers), Machine Fault Diagnosis Techniques (7 papers), Power Line Communications and Noise (7 papers) and Speech and Audio Processing (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (425 citations), Signal Processing (164 citations), Artificial Intelligence (200 citations), Aerospace Engineering (120 citations) and Computational Mechanics (99 citations). J.F. Doherty has collaborated with scholars based in United States, Puerto Rico and Taiwan. Frequent co-authors include R.E. Van Dyck, Mingwei Liu, Arnab Roy, J. D. Mathews, Yiwei Wang, S. J. Briczinski, Anindita Roy, H. Stärk, Richard J. Mammone and Diego Janches. Their work appears in journals such as Journal of Atmospheric and Solar-Terrestrial Physics, IEEE Transactions on Communications, IEEE Transactions on Geoscience and Remote Sensing, Wireless Personal Communications and IEEE Signal Processing Letters.

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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