Daniel Schonberg

837 citations
16 papers · 581 · h-index 9

Impact in

Papers in

Daniel Schonberg

16 papers receiving 534 citations

Peers

Daniel Schonberg
Comparison fields: 5 of 26
  • Computer Vision and Pattern Recognition 340
  • Hardware and Architecture 93
  • Computer Networks and Communications 196
  • Software 28
  • Artificial Intelligence 137
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Schonberg

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schonberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Schonberg. 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 Daniel Schonberg. The network helps show where Daniel Schonberg may publish in the future.

Co-authors

The 12 scholars most cited alongside Daniel Schonberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Schonberg Line = papers co-authored together Daniel Schonberg links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2004213
2 1989100
3 200468
4 200850
5 200634
6 200432
7 200424
8
Practical distributed source coding and its application to the compression of encrypted data
200714
9 200711
10 20067
11 19897
12
On blind compression of encrypted data approaching the source entropy rate
20056
13 20096
14 20044
15 20084
16 20081

About Daniel Schonberg

Daniel Schonberg is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing and Molecular Biology, having authored 16 papers that have together received 581 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (7 papers), Chaos-based Image/Signal Encryption (7 papers), Error Correcting Code Techniques (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Distributed systems and fault tolerance (2 papers), Biometric Identification and Security (2 papers), Image and Signal Denoising Methods (2 papers) and Advanced Data Compression Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (340 citations), Hardware and Architecture (93 citations), Computer Networks and Communications (196 citations), Software (28 citations) and Artificial Intelligence (137 citations). Daniel Schonberg has collaborated with scholars based in United States. Frequent co-authors include Kannan Ramchandran, Marla Johnson, Vinod M. Prabhakaran, Prakash Ishwar, S. Sandeep Pradhan, Stark C. Draper, Darko Kirovski, Chuohao Yeo, Gary J. Sullivan and S.L. Regunathan. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, ACM SIGPLAN Notices, IEEE Transactions on Signal Processing, UC Berkeley and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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