J.F. Doherty

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

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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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-authorship network

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
#Work
1 20210
2 20101
3 20091
4 200915
5 200846
6 20070
7 20061
8 20050
9 200410
10 20047
11 20030
12
Meteor science issues addressed via UHF radar meteor observations at Arecibo Observatory
20022
13 20023
14 20021
15 20021
16 20021
17 199736
18 199729
19 199615
20 19923

About J.F. Doherty

J.F. Doherty is a scholar working on Signal Processing, Computer Networks and Communications and Computational Mechanics, 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), Speech and Audio Processing (7 papers), Power Line Communications and Noise (7 papers) and Machine Fault Diagnosis Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (378 citations), Signal Processing (155 citations) and Artificial Intelligence (191 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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