J. Woods

3.5k citations
46 papers · 2.3k indexed · 1 hit paper · h-index 16

Impact in

Papers in

J. Woods

40 papers receiving 2.1k citations

Hit Papers

Subband coding of images 1986 · 719 citations
7191986202619992012200400600

Peers

J. Woods
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 1.6k
  • Signal Processing 702
  • Media Technology 408
  • Computational Mechanics 301
  • Artificial Intelligence 334
Replace John W. Woods with:
John W. Woods United States
D.C. Munson United States
Harry C. Andrews United States
J. Biemond Netherlands
N.P. Galatsanos United States
Thomas G. Stockham United States
R. Rezaiifar United States
M. Ibrahim Sezan United States
Yue M. Lu United States
Arie Feuer Israel
J. Woods relative to John W. Woods United States John W. Woods's profile →
Citations per field
00.5×1.5×
John W. Woods · 1×
Citations per year

Countries citing papers authored by J. Woods

Since Specialization
Citations

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

Fields of papers citing papers by J. Woods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside J. Woods, 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. Woods Line = papers co-authored together J. Woods links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20056
2 20051
3 20051
4 200512
5 20051
6
We Will Show Them! Essays in Honour of Dov Gabbay, Volume One
20059
7 20050
8 20050
9 200215
10
Subband coding of images
Hit paper breakdown →
1986719
11 198573
12 19843
13 1981122
14 198045
15 19782
16 197838
17 1976185
18 197655
19 19763
20 19756

About J. Woods

J. Woods is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Applied Mathematics, Media Technology and Control and Systems Engineering, having authored 46 papers that have together received 2.3k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (19 papers), Digital Filter Design and Implementation (12 papers), Advanced Data Compression Techniques (9 papers), Fault Detection and Control Systems (5 papers), Advanced Image Processing Techniques (5 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Statistical and numerical algorithms (3 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Signal Processing (702 citations), Media Technology (408 citations), Computational Mechanics (301 citations) and Artificial Intelligence (334 citations). J. Woods has collaborated with scholars based in United States, Netherlands and Taiwan. Frequent co-authors include Sean O’Neil, M. P. Ekstrom, Vinay K. Ingle, A. Murat Tekalp, H. Kaufman, Hsueh‐Ming Hang, H. Stärk, R. Hingorani, Roger Alexander and Ju-Hong Lee. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Automatic Control, Geophysical Journal International, IEEE Transactions on Circuits and Systems and IRE Transactions on Communications Systems.

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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