R. Mersereau

1.5k citations
57 papers · 919 indexed · h-index 14
Topics
Image and Signal Denoising Methods (21 papers)Digital Filter Design and Implementation (20 papers)Advanced Data Compression Techniques (14 papers)

In The Last Decade

R. Mersereau

50 papers receiving 842 citations

Peers

R. Mersereau
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 612
  • Signal Processing 526
  • Computational Mechanics 309
  • Electrical and Electronic Engineering 94
  • Biomedical Engineering 78
Replace S. Dimolitsas with:
S. Dimolitsas United States
M.M. Fahmy Canada
Anamitra Makur Singapore
Eric Price United States
Ke Wei China
P. Strobach Germany
G.M. Cortelazzo Italy
W. Mecklenbräuker Netherlands
P. Heinonen Finland
Yuan-Pei Lin Taiwan
R. Mersereau relative to S. Dimolitsas United States S. Dimolitsas's profile →
Citations per field
00.5×
S. Dimolitsas · 1×
Citations per year

Countries citing papers authored by R. Mersereau

Since Specialization
Citations

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

Fields of papers citing papers by R. Mersereau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Mersereau

This figure shows the co-authorship network connecting the top 25 collaborators of R. Mersereau. A scholar is included among the top collaborators of R. Mersereau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R. Mersereau. R. Mersereau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 7
5 9
6 2
7 4
8 0
9 5
10 7
11 1
12 11
13
A robust digital watermark procedure for still images using DCT phase modulation
2
14 46
15 38
16 21
17
Homomorphic processing of signals
1
18 79
19 55
20 171

About R. Mersereau

R. Mersereau is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Applied Mathematics, having authored 57 papers that have together received 919 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (21 papers), Digital Filter Design and Implementation (20 papers) and Advanced Data Compression Techniques (14 papers). The work is most often cited by research in Signal Processing (526 citations), Computer Vision and Pattern Recognition (612 citations) and Computational Mechanics (309 citations). R. Mersereau has collaborated with scholars based in United States, Netherlands and Kuwait. Frequent co-authors include W. Mecklenbräuker, Thomas F. Quatieri, Ronald W. Schafer, D. B. Harris, Petros Maragos, A. Oppenheim, A. Guessoum, Dan E. Dudgeon, Y. Altunbasak and Bahadır K. Güntürk. Their work appears in journals such as IEEE Transactions on Circuits and Systems, Digital Signal Processing and National University of Singapore.

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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