Erik Ordentlich
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering top 10%
- Signal Processing top 2%
- Co-authors
- M.J. WeinbergerThomas M. CoverG. SeroussiTsachy WeissmanRaúl EtkinSergio VerdúRon M. RothDavid Taubman
- Topics
- Algorithms and Data Compression (27 papers)Cellular Automata and Applications (21 papers)Advanced Data Compression Techniques (17 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Information TheoryIEEE Transactions on Image Processing
- Partner nations
- United StatesIsraelAustralia
In The Last Decade
Erik Ordentlich
76 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 513
- Artificial Intelligence 495
- Computer Networks and Communications 425
- Electrical and Electronic Engineering 367
- Signal Processing 287
Countries citing papers authored by Erik Ordentlich
This map shows the geographic impact of Erik Ordentlich'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 Erik Ordentlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Ordentlich more than expected).
Fields of papers citing papers by Erik Ordentlich
This network shows the impact of papers produced by Erik Ordentlich. 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 Erik Ordentlich. The network helps show where Erik Ordentlich may publish in the future.
Co-authorship network of co-authors of Erik Ordentlich
This figure shows the co-authorship network connecting the top 25 collaborators of Erik Ordentlich. A scholar is included among the top collaborators of Erik Ordentlich 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 Erik Ordentlich. Erik Ordentlich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 46 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 73 | |
| 8 | 47 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 10 | |
| 13 | 33 | |
| 14 | 11 | |
| 15 | 17 | |
| 16 | 15 | |
| 17 | Inequalities for the L1 Deviation of the Empirical Distribution | 74 |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 27 |
About Erik Ordentlich
Erik Ordentlich is a scholar working on Computational Theory and Mathematics, Signal Processing and Artificial Intelligence, having authored 78 papers that have together received 1.5k indexed citations. Recurring topics across this work include Algorithms and Data Compression (27 papers), Cellular Automata and Applications (21 papers) and Advanced Data Compression Techniques (17 papers). The work is most often cited by research in Signal Processing (287 citations), Computer Vision and Pattern Recognition (513 citations) and Management Science and Operations Research (275 citations). Erik Ordentlich has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include M.J. Weinberger, Thomas M. Cover, G. Seroussi, Tsachy Weissman, Raúl Etkin, Sergio Verdú, Ron M. Roth, David Taubman, Neri Merhav and Y. Shoham. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing.
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.