Yehoshua Perl
- Artificial Intelligence top 0.5%
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.5%
- Computer Networks and Communications top 2%
- Language and Linguistics top 1%
- Co-authors
- James GellerMichael HalperDerek G. CorneilLaura K. StewartYossi ShiloachChristopher OchsHua MinHuanying Gu
- Topics
- Biomedical Text Mining and Ontologies (126 papers)Semantic Web and Ontologies (122 papers)Natural Language Processing Techniques (27 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceDiscrete Mathematics and Combinatorics
- Partner nations
- United StatesIsraelSouth Africa
In The Last Decade
Yehoshua Perl
185 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 1.8k
- Molecular Biology 1.6k
- Computational Theory and Mathematics 932
- Computer Networks and Communications 605
- Language and Linguistics 373
Countries citing papers authored by Yehoshua Perl
This map shows the geographic impact of Yehoshua Perl'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 Yehoshua Perl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yehoshua Perl more than expected).
Fields of papers citing papers by Yehoshua Perl
This network shows the impact of papers produced by Yehoshua Perl. 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 Yehoshua Perl. The network helps show where Yehoshua Perl may publish in the future.
Co-authorship network of co-authors of Yehoshua Perl
This figure shows the co-authorship network connecting the top 25 collaborators of Yehoshua Perl. A scholar is included among the top collaborators of Yehoshua Perl 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 Yehoshua Perl. Yehoshua Perl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 20 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | Can a Convolutional Neural Network Support Auditing of NCI Thesaurus Neoplasm Concepts | 3 |
| 9 | 6 | |
| 10 | 15 | |
| 11 | BLUSNO: A System for Orientation, Visualization, and Quality Assurance of SNOMED CT Using Abstraction Networks. | 1 |
| 12 | 30 | |
| 13 | 3 | |
| 14 | 83 | |
| 15 | 8 | |
| 16 | Utilizing OODB schema modeling for vocabulary management. | 19 |
| 17 | 21 | |
| 18 | 40 | |
| 19 | 6 | |
| 20 | 3 |
About Yehoshua Perl
Yehoshua Perl is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Language and Linguistics, having authored 187 papers that have together received 3.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (126 papers), Semantic Web and Ontologies (122 papers) and Natural Language Processing Techniques (27 papers). The work is most often cited by research in Computational Theory and Mathematics (932 citations), Artificial Intelligence (1.8k citations) and Discrete Mathematics and Combinatorics (133 citations). Yehoshua Perl has collaborated with scholars based in United States, Israel and South Africa. Frequent co-authors include James Geller, Michael Halper, Derek G. Corneil, Laura K. Stewart, Yossi Shiloach, Christopher Ochs, Hua Min, Huanying Gu, Gai Elhanan and Alon Itai. Their work appears in journals such as Communications of the ACM, Annals of the New York Academy of Sciences and Information Sciences.
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.