Thomas G. Stockham

2.6k citations
25 papers · 1.8k indexed · h-index 11
Topics
Image and Signal Denoising Methods (7 papers)Advanced Data Compression Techniques (5 papers)Digital Filter Design and Implementation (4 papers)
Partner nations
United States

In The Last Decade

Thomas G. Stockham

22 papers receiving 1.6k citations

Peers

Thomas G. Stockham
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 912
  • Signal Processing 449
  • Media Technology 270
  • Electrical and Electronic Engineering 259
  • Computational Mechanics 209
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Citations per field
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Countries citing papers authored by Thomas G. Stockham

Since Specialization
Citations

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

Fields of papers citing papers by Thomas G. Stockham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas G. Stockham. 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 Thomas G. Stockham. The network helps show where Thomas G. Stockham may publish in the future.

Co-authorship network of co-authors of Thomas G. Stockham

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas G. Stockham. A scholar is included among the top collaborators of Thomas G. Stockham 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 Thomas G. Stockham. Thomas G. Stockham 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 12
3 7
4 10
5 8
6 288
7 8
8 2
9 10
10 30
11
Random Access Editing of Digital Audio
2
12
The Promise of Digital Audio
2
13
Records of the Future
4
14 231
15 334
16
A-D and D-A Converters: Their Effect on Digital Audio Fidelity
10
17
Restoration of Old Acoustic Recordings By Means Of Digital Signal Processing
3
18 2
19 212
20 232

About Thomas G. Stockham

Thomas G. Stockham is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 25 papers that have together received 1.8k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (7 papers), Advanced Data Compression Techniques (5 papers) and Digital Filter Design and Implementation (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (912 citations), Signal Processing (449 citations) and Media Technology (270 citations). Thomas G. Stockham has collaborated with scholars based in United States. Frequent co-authors include Ronald W. Schafer, Alan V. Oppenheim, Robert M. Gray, T. M. Cannon, Zhijun Xie, Carl H. Durney, Michael Rodríguez, R F Gesteland, Douglas M. Chabries and David V. Anderson. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Biomedical Engineering.

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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