M. Goldberg
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Artificial Intelligence
- Media Technology
- Electrical and Electronic Engineering
- Co-authors
- Huifang SunSeymour ShlienS. PanchanathanLingfeng WangHao SunAndra SmithRichard F. DillonJohn Robertson
- Topics
- Advanced Data Compression Techniques (16 papers)Video Coding and Compression Technologies (10 papers)Image and Signal Denoising Methods (7 papers)
- Journals
- IEEE Transactions on CommunicationsIEEE Transactions on Circuits and Systems for Video TechnologyJournal of Visual Communication and Image Representation
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
M. Goldberg
16 papers receiving 287 citations
Peers
Comparison fields: 5 of 24
- Computer Vision and Pattern Recognition 304
- Signal Processing 122
- Artificial Intelligence 24
- Media Technology 23
- Electrical and Electronic Engineering 13
Countries citing papers authored by M. Goldberg
This map shows the geographic impact of M. Goldberg'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. Goldberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Goldberg more than expected).
Fields of papers citing papers by M. Goldberg
This network shows the impact of papers produced by M. Goldberg. 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. Goldberg. The network helps show where M. Goldberg may publish in the future.
Co-authorship network of co-authors of M. Goldberg
This figure shows the co-authorship network connecting the top 25 collaborators of M. Goldberg. A scholar is included among the top collaborators of M. Goldberg 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. Goldberg. M. Goldberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 50 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 10 | |
| 14 | 25 | |
| 15 | 32 | |
| 16 | 76 | |
| 17 | 4 | |
| 18 | 86 | |
| 19 | 1 |
About M. Goldberg
M. Goldberg is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Urban Studies, having authored 19 papers that have together received 317 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (16 papers), Video Coding and Compression Technologies (10 papers) and Image and Signal Denoising Methods (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (304 citations), Signal Processing (122 citations) and Media Technology (23 citations). M. Goldberg has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Huifang Sun, Seymour Shlien, S. Panchanathan, Lingfeng Wang, Hao Sun, S. Panchanathan, Andra Smith, Richard F. Dillon, John Robertson and Jo W. Tombaugh. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Circuits and Systems for Video Technology and Journal of Visual Communication and Image Representation.
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.