J. Ziv

19.7k citations
97 papers · 12.6k indexed · 4 hit papers · h-index 33

Impact in

Papers in

J. Ziv

93 papers receiving 11.6k citations

Hit Papers

Compression of individual sequences via variable-rate coding 1978 · 2.1k citations
2.1k197620261992200910002.0k3.0k

Peers

J. Ziv
Comparison fields: 5 of 170
  • Artificial Intelligence 6.2k
  • Computer Networks and Communications 4.2k
  • Computational Theory and Mathematics 2.6k
  • Computer Vision and Pattern Recognition 3.1k
  • Hardware and Architecture 1.0k
Replace A. Lempel with:
A. Lempel Israel
José M. F. Moura United States
Sun‐Yuan Kung United States
Keshab K. Parhi United States
J. Rissanen United States
Yu Hen Hu United States
Horst D. Simon United States
João P. Hespanha United States
Tamara G. Kolda United States
Alan V. Oppenheim United States
J. Ziv relative to A. Lempel Israel A. Lempel's profile →
Citations per field
00.5×1.7×
A. Lempel · 1×
Citations per year

Countries citing papers authored by J. Ziv

Since Specialization
Citations

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

Fields of papers citing papers by J. Ziv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Ziv, 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 J. Ziv Line = papers co-authored together J. Ziv links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20075
2 20031
3 20023
4 20000
5 19965
6 19956
7 199268
8 1992103
9 1989101
10 1989183
11 19823
12
Data Compression Panel Discussion
19721
13 197223
14 197143
15 19706
16 19697
17 19691
18 1969236
19 19681
20 19653

About J. Ziv

J. Ziv is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 97 papers that have together received 12.6k indexed citations. Recurring topics across this work include Algorithms and Data Compression (51 papers), Cellular Automata and Applications (35 papers), Wireless Communication Security Techniques (20 papers), DNA and Biological Computing (17 papers), Error Correcting Code Techniques (17 papers), Computability, Logic, AI Algorithms (16 papers), semigroups and automata theory (12 papers) and Machine Learning and Algorithms (9 papers). The work is most often cited by research in Artificial Intelligence (6.2k citations), Computer Networks and Communications (4.2k citations), Computational Theory and Mathematics (2.6k citations), Computer Vision and Pattern Recognition (3.1k citations) and Hardware and Architecture (1.0k citations). J. Ziv has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include A. Lempel, A.D. Wyner, Moshe Zakai, Neri Merhav, J.K. Wolf, Abraham J. Wyner, M.J. Weinberger, Daniel Chazan, T. Kadota and M. Gutman. Their work appears in journals such as IEEE Transactions on Information Theory, Proceedings of the IEEE, IEEE Transactions on Communications, Information and Computation and Bell System Technical Journal.

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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