M. Dunham

637 citations
7 papers · 318 · h-index 5

Impact in

    • Advanced Data Compression Techniques
    • Image and Signal Denoising Methods
    • Advanced Image and Video Retrieval Techniques
    • Digital Filter Design and Implementation
    • Speech and Audio Processing
    • Video Coding and Compression Technologies

Papers in

M. Dunham

6 papers receiving 283 citations

Peers

M. Dunham
Comparison fields: 5 of 22
  • Computer Vision and Pattern Recognition 283
  • Signal Processing 143
  • Artificial Intelligence 86
  • Computer Networks and Communications 19
  • Electrical and Electronic Engineering 31
Replace Kou-Hu Tzou with:
Kou-Hu Tzou United States
R. Lancini Italy
Ira A. Gerson United States
C. Chrysafis United States
Shih-Ta Hsiang United States
Mark A. Jasiuk United States
Beong-Jo Kim United States
Troy Chinen United States
Stéphane Ragot France
Luis Pérez-Freire Spain
M. Dunham relative to Kou-Hu Tzou United States Kou-Hu Tzou's profile →
Citations per field
00.5×1.5×
Kou-Hu Tzou · 1×
Citations per year

Countries citing papers authored by M. Dunham

Since Specialization
Citations

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

Fields of papers citing papers by M. Dunham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside M. Dunham, 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 M. Dunham Line = papers co-authored together M. Dunham links everyone, so they are left out of the graph.

All Works

About M. Dunham

M. Dunham is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering and Molecular Biology, having authored 7 papers that have together received 318 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (4 papers), Algorithms and Data Compression (3 papers), Speech Recognition and Synthesis (3 papers), Speech and Audio Processing (2 papers), Digital Filter Design and Implementation (2 papers), DNA and Biological Computing (1 paper), Natural Language Processing Techniques (1 paper) and Cognitive Computing and Networks (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (283 citations), Signal Processing (143 citations), Artificial Intelligence (86 citations), Computer Networks and Communications (19 citations) and Electrical and Electronic Engineering (31 citations). M. Dunham has collaborated with scholars based in United States. Frequent co-authors include Robert M. Gray, John Burt Foster, S. Roucos, M. Krasner, P. Price, Owen Kimball, Richard Schwartz, J. Makhoul, Y.-L. Chow and Yen-Lu Chow. Their work appears in journals such as IEEE Transactions on Information Theory 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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