Dana Shapira
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Industrial and Manufacturing Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Hardware and Architecture top 10%
- Co-authors
- Shmuel T. KleinBaruch MorJames A. StorerGur MosheiovCarlos Martı́n-VideAlberto LeporatiClaudio ZandronMichael Hirsch
- Topics
- Algorithms and Data Compression (59 papers)DNA and Biological Computing (14 papers)Advanced Data Storage Technologies (14 papers)
- Partner nations
- IsraelUnited StatesSpain
In The Last Decade
Dana Shapira
65 papers receiving 417 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 272
- Computer Networks and Communications 173
- Industrial and Manufacturing Engineering 116
- Computer Vision and Pattern Recognition 116
- Hardware and Architecture 79
Countries citing papers authored by Dana Shapira
This map shows the geographic impact of Dana Shapira'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 Dana Shapira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Shapira more than expected).
Fields of papers citing papers by Dana Shapira
This network shows the impact of papers produced by Dana Shapira. 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 Dana Shapira. The network helps show where Dana Shapira may publish in the future.
Co-authorship network of co-authors of Dana Shapira
This figure shows the co-authorship network connecting the top 25 collaborators of Dana Shapira. A scholar is included among the top collaborators of Dana Shapira 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 Dana Shapira. Dana Shapira 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 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 22 | |
| 11 | 6 | |
| 12 | Enhanced Extraction from Huffman Encoded Files. | 0 |
| 13 | Controlling the Chunk-Size in Deduplication Systems. | 0 |
| 14 | 16 | |
| 15 | Random Access to Fibonacci Codes. | 0 |
| 16 | Metric Preserving Dense SIFT Compression. | 0 |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 22 |
About Dana Shapira
Dana Shapira is a scholar working on Artificial Intelligence, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 75 papers that have together received 424 indexed citations. Recurring topics across this work include Algorithms and Data Compression (59 papers), DNA and Biological Computing (14 papers) and Advanced Data Storage Technologies (14 papers). The work is most often cited by research in Hardware and Architecture (79 citations), Industrial and Manufacturing Engineering (116 citations) and Artificial Intelligence (272 citations). Dana Shapira has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include Shmuel T. Klein, Baruch Mor, James A. Storer, Gur Mosheiov, Carlos Martı́n-Vide, Alberto Leporati, Claudio Zandron, Michael Hirsch, Amos Azaria and Avivit Levy. Their work appears in journals such as IEEE Access, Journal of the Operational Research Society and Information Processing & Management.
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.