J.M. Shapiro

5.3k citations
16 papers · 3.6k indexed · 1 hit paper · h-index 10

J.M. Shapiro

14 papers receiving 3.2k citations

Hit Papers

Embedded image coding using zerotrees of wavelet coeffici...3.3k199320262004201510002.0k3.0k

Peers

J.M. Shapiro
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 3.3k
  • Signal Processing 1.4k
  • Media Technology 564
  • Computer Graphics and Computer-Aided Design 134
  • Computational Mathematics 5
Replace Amir Said with:
Amir Said United States
C. Christopoulos Sweden
Ya-Qin Zhang United States
I. Sebestyén Austria
V. Cappellini Italy
Vladimír Britaňák Slovakia
Béatrice Pesquet‐Popescu France
N. Farvardin United States
Shuozhong Wang China
Glen G. Langdon United States
J.M. Shapiro relative to Amir Said United States Amir Said's profile →
Citations per field
00.5×1.5×
Amir Said · 1×
Citations per year

Countries citing papers authored by J.M. Shapiro

Since Specialization
Citations

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

Fields of papers citing papers by J.M. Shapiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 6 scholars most cited alongside J.M. Shapiro, 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.M. Shapiro Line = papers co-authored together J.M. Shapiro links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20240
2 200913
3 20053
4 20031
5 200315
6 200262
7 20029
8 200224
9 20023
10 199412
11 199311
12 199323
13
Embedded image coding using zerotrees of wavelet coefficientsbreakdown →
19933283
14 199289
15 19925
16 19601

About J.M. Shapiro

J.M. Shapiro is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Development, having authored 16 papers that have together received 3.6k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (10 papers), Advanced Data Compression Techniques (10 papers), Digital Filter Design and Implementation (6 papers), Advanced Adaptive Filtering Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), PAPR reduction in OFDM (1 paper), Sparse and Compressive Sensing Techniques (1 paper) and Advanced Image Fusion Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (3.3k citations), Signal Processing (1.4k citations) and Media Technology (564 citations). J.M. Shapiro has collaborated with scholars based in United States. Frequent co-authors include K.M. Uz, Benjamin R. Epstein, R. Hingorani, Richard J. Barron, D. H. Staelin and Ethan B. Kapstein. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Circuits and Systems for Video Technology, Research & Politics, International Conference on Acoustics, Speech, and Signal Processing and IEEE International Conference on Acoustics Speech and 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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