Joe Tekli
Impact in
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
- Topic Modeling
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
-
- Semantic Web and Ontologies 20
- Topic Modeling 7
- Natural Language Processing Techniques 4
- Advanced Text Analysis Techniques 4
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- Advanced Database Systems and Queries 17
- Co-authors
- Richard Chbeir (29 shared papers)Kokou Yétongnon (10 shared papers)Agma J. M. Traina (5 shared papers)Caetano Traina (4 shared papers)Ernesto Damiani (2 shared papers)Gabriele Gianini (1 shared paper)William I. Grosky (2 shared papers)Marco Viviani (1 shared paper)
In The Last Decade
Joe Tekli
50 papers receiving 744 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 367
- Signal Processing 119
- Information Systems 205
- Human-Computer Interaction 48
- Computer Vision and Pattern Recognition 174
Countries citing papers authored by Joe Tekli
This map shows the geographic impact of Joe Tekli'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 Joe Tekli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joe Tekli more than expected).
Fields of papers citing papers by Joe Tekli
This network shows the impact of papers produced by Joe Tekli. 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 Joe Tekli. The network helps show where Joe Tekli may publish in the future.
Co-authors
The 16 scholars most cited alongside Joe Tekli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 67 | |
| 2 | 2009 | 48 | |
| 3 | 2021 | 40 | |
| 4 | 2018 | 37 | |
| 5 | 2011 | 36 | |
| 6 | 2016 | 36 | |
| 7 | 2021 | 35 | |
| 8 | 2019 | 33 | |
| 9 | 2019 | 33 | |
| 10 | 2017 | 31 | |
| 11 | 2018 | 29 | |
| 12 | 2011 | 26 | |
| 13 | 2018 | 26 | |
| 14 | 2009 | 22 | |
| 15 | 2018 | 22 | |
| 16 | 2016 | 22 | |
| 17 | 2022 | 19 | |
| 18 | 2022 | 17 | |
| 19 | 2022 | 15 | |
| 20 | 2012 | 15 |
About Joe Tekli
Joe Tekli is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 764 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (20 papers), Advanced Database Systems and Queries (17 papers), Data Management and Algorithms (9 papers), Topic Modeling (7 papers), Service-Oriented Architecture and Web Services (5 papers), Web Data Mining and Analysis (5 papers), Natural Language Processing Techniques (4 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (367 citations), Signal Processing (119 citations), Information Systems (205 citations), Human-Computer Interaction (48 citations) and Computer Vision and Pattern Recognition (174 citations). Joe Tekli has collaborated with scholars based in Lebanon, France and Brazil. Frequent co-authors include Richard Chbeir, Kokou Yétongnon, Agma J. M. Traina, Caetano Traina, Ernesto Damiani, Gabriele Gianini, William I. Grosky, Marco Viviani, Solomon Atnafu and Alceu Ferraz Costa. Their work appears in journals such as Knowledge-Based Systems, Soft Computing, International Journal of Human-Computer Studies, Information Sciences and Journal of Web Semantics.
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.