J.F. Doherty

1.2k citations
81 papers · 842 · h-index 15

Impact in

Papers in

J.F. Doherty

71 papers receiving 768 citations

Peers

J.F. Doherty
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 378
  • Signal Processing 155
  • Artificial Intelligence 191
  • Computational Mechanics 98
  • Aerospace Engineering 115
Replace K.M.M. Prabhu with:
K.M.M. Prabhu India
Minli Yao China
Bin Tang China
Zhuang Zhao-wen China
Jacob H. Gunther United States
Kamran Ali United States
Marci Hoffman United States
G.A. Mian Italy
Weimin Jia China
Jun Shi China
J.F. Doherty relative to K.M.M. Prabhu India K.M.M. Prabhu's profile →
Citations per field
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K.M.M. Prabhu · 1×
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 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002267
2 201155
3 201150
4 200846
5 200239
6 199736
7 199729
8 200328
9 201119
10 199616
11 200915
12 199615
13 200815
14 199414
15 201014
16 200410
17 20159
18 20099
19
A Watermarking Algorithm for Fingerprinting Intelligence Images
20018
20 20047

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 81 papers that have together received 842 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (29 papers), Advanced Adaptive Filtering Techniques (21 papers), Wireless Communication Networks Research (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 (378 citations), Signal Processing (155 citations), Artificial Intelligence (191 citations), Computational Mechanics (98 citations) and Aerospace Engineering (115 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, Digital Signal Processing and IEEE Transactions on Information Forensics and Security.

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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