M.T. Orchard

8.7k total citations · 1 hit paper
134 papers, 5.8k citations indexed

About

M.T. Orchard is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, M.T. Orchard has authored 134 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Computer Vision and Pattern Recognition, 53 papers in Signal Processing and 25 papers in Media Technology. Recurrent topics in M.T. Orchard's work include Image and Signal Denoising Methods (80 papers), Advanced Data Compression Techniques (69 papers) and Advanced Image Processing Techniques (43 papers). M.T. Orchard is often cited by papers focused on Image and Signal Denoising Methods (80 papers), Advanced Data Compression Techniques (69 papers) and Advanced Image Processing Techniques (43 papers). M.T. Orchard collaborates with scholars based in United States, Türkiye and Japan. M.T. Orchard's co-authors include Xin Li, Kannan Ramchandran, Zixiang Xiong, Amy R. Reibman, Charles A. Bouman, Gary J. Sullivan, Xin Li, Onur G. Guleryuz, Ya-Qin Zhang and Vinay A. Vaishampayan and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

M.T. Orchard

125 papers receiving 5.3k citations

Hit Papers

New edge-directed interpolation 2001 2026 2009 2017 2001 400 800 1.2k

Peers

M.T. Orchard
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 5.2k
  • Signal Processing 1.7k
  • Media Technology 1.3k
  • Artificial Intelligence 407
  • Computational Mechanics 339
Replace Michel Barlaud with:
Michel Barlaud France
John W. Woods United States
William A. Pearlman United States
Luı́s B. Almeida Portugal
Amir Said United States
David Taubman Australia
Christine Guillemot France
Marc Antonini France
Arun N. Netravali United States
Gregory K. Wallace United States
Michel Barlaud France View profile →
Citations per field, relative to M.T. Orchard
M.T. Orchard · 1×
Citations per year, relative to M.T. Orchard
M.T. Orchard · 1×

Countries citing papers authored by M.T. Orchard

Since Specialization
Citations

This map shows the geographic impact of M.T. Orchard'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.T. Orchard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T. Orchard more than expected).

Fields of papers citing papers by M.T. Orchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.T. Orchard

This figure shows the co-authorship network connecting the top 25 collaborators of M.T. Orchard. A scholar is included among the top collaborators of M.T. Orchard 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 M.T. Orchard. M.T. Orchard 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
# Work Indexed citations
1 11
2 3
3 11
4 0
5 2
6 1
7
Transmit Diversity with Channel Feedback
9
8 13
9 15
10
New edge-directed interpolation breakdown →
1469
11 253
12 94
13 9
14 14
15 264
16 30
17 8
18 22
19 266
20 12

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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2026