Yaacov Choueka

904 total citations
28 papers, 518 citations indexed

About

Yaacov Choueka is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Yaacov Choueka has authored 28 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Computational Theory and Mathematics. Recurrent topics in Yaacov Choueka's work include Handwritten Text Recognition Techniques (8 papers), Natural Language Processing Techniques (6 papers) and Algorithms and Data Compression (5 papers). Yaacov Choueka is often cited by papers focused on Handwritten Text Recognition Techniques (8 papers), Natural Language Processing Techniques (6 papers) and Algorithms and Data Compression (5 papers). Yaacov Choueka collaborates with scholars based in Israel, United States and Canada. Yaacov Choueka's co-authors include Serge Lusignan, Shmuel T. Klein, Aviezri S. Fraenkel, Eran Segal, Nachum Dershowitz, Paul Bratley, Lior Wolf, Yehoshua Perl, Maxine S. Cohen and David Peleg and has published in prestigious journals such as International Journal of Computer Vision, Journal of the ACM and IEEE Transactions on Computers.

In The Last Decade

Yaacov Choueka

27 papers receiving 448 citations

Peers

Yaacov Choueka
Comparison fields: 5 of 52
  • Artificial Intelligence 390
  • Computational Theory and Mathematics 168
  • Computer Vision and Pattern Recognition 87
  • Computer Networks and Communications 76
  • Information Systems 52
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Citations per field, relative to Yaacov Choueka
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Citations per year, relative to Yaacov Choueka
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Countries citing papers authored by Yaacov Choueka

Since Specialization
Citations

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

Fields of papers citing papers by Yaacov Choueka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaacov Choueka

This figure shows the co-authorship network connecting the top 25 collaborators of Yaacov Choueka. A scholar is included among the top collaborators of Yaacov Choueka 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 Yaacov Choueka. Yaacov Choueka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 4
3
Computerizing the Cairo Genizah: Aims, Methodologies and Achievements
3
4 6
5 25
6
Responsa: a full-text retrieval system with linguistic processing for a 65-million word corpus of Jewish heritage in Hebrew
5
7
Looking for Needles in a Haystack or Locating Interesting Collocational Expressions in Large Textual Databases.
63
8 24
9 22
10 29
11 70
12
A note of omega-regular languages.
4
13 20
14 5
15 25
16 20
17 14
18 114
19
Full text document retrieval: Hebrew legal texts
5
20 9

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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