Dima Taji

688 total citations
12 papers, 169 citations indexed

About

Dima Taji is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Dima Taji has authored 12 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computer Science Applications. Recurrent topics in Dima Taji's work include Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers) and Software Engineering Research (4 papers). Dima Taji is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers) and Software Engineering Research (4 papers). Dima Taji collaborates with scholars based in United States, United Arab Emirates and Palestinian Territory. Dima Taji's co-authors include Nizar Habash, Salam Khalifa, Fadhl Eryani, Ossama Obeid, Nasser Zalmout, Mai Oudah, Bashar Alhafni, Go Inoue, Alexander Erdmann and Daniel Zeman and has published in prestigious journals such as Language Resources and Evaluation, HAL (Le Centre pour la Communication Scientifique Directe) and International Conference on Computational Linguistics.

In The Last Decade

Dima Taji

11 papers receiving 157 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dima Taji United States 6 152 19 16 13 10 12 169
Jenna Kanerva Finland 10 205 1.3× 13 0.7× 16 1.0× 19 1.5× 4 0.4× 32 219
Barbora Hladká Czechia 7 168 1.1× 13 0.7× 20 1.3× 28 2.2× 18 1.8× 26 191
Erick Galani Maziero Brazil 8 233 1.5× 21 1.1× 6 0.4× 14 1.1× 2 0.2× 17 251
Hėctor Martínez Alonso Denmark 10 336 2.2× 23 1.2× 21 1.3× 20 1.5× 8 0.8× 39 356
Paula Carvalho Portugal 6 125 0.8× 20 1.1× 8 0.5× 12 0.9× 5 0.5× 25 151
Michael Dorna Germany 10 172 1.1× 8 0.4× 10 0.6× 23 1.8× 2 0.2× 26 188
Harish Tayyar Madabushi United Kingdom 6 137 0.9× 32 1.7× 17 1.1× 4 0.3× 2 0.2× 22 166
Corina Forăscu Romania 9 193 1.3× 27 1.4× 30 1.9× 13 1.0× 4 0.4× 15 217
Ildikó Pilán Sweden 9 226 1.5× 19 1.0× 8 0.5× 22 1.7× 5 0.5× 30 260
Muntsin Kolss Germany 10 289 1.9× 7 0.4× 20 1.3× 21 1.6× 3 0.3× 17 305

Countries citing papers authored by Dima Taji

Since Specialization
Citations

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

Fields of papers citing papers by Dima Taji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dima Taji

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

All Works

12 of 12 papers shown
1.
Obeid, Ossama, Nasser Zalmout, Salam Khalifa, et al.. (2020). CAMeL tools: An open source python toolkit for arabic natural language processing. Language Resources and Evaluation. 7022–7032. 88 indexed citations
2.
Roux, Joseph Le, et al.. (2020). Multitask Easy-First Dependency Parsing: Exploiting Complementarities of Different Dependency Representations. HAL (Le Centre pour la Communication Scientifique Directe). 2497–2508. 4 indexed citations
3.
Taji, Dima & Nizar Habash. (2020). PALMYRA 2.0: A Configurable Multilingual Platform Independent Tool for Morphology and Syntax Annotation. 168–177.
4.
Javed, Talha, Nizar Habash, & Dima Taji. (2018). Palmyra: A platform independent dependency annotation tool for morphologically rich languages. Language Resources and Evaluation. 2185–2188. 2 indexed citations
5.
Taji, Dima, Salam Khalifa, Ossama Obeid, Fadhl Eryani, & Nizar Habash. (2018). An Arabic Morphological Analyzer and Generator with Copious Features. 140–150. 16 indexed citations
6.
Taji, Dima, Nizar Habash, & Daniel Zeman. (2017). Universal Dependencies for Arabic. 166–176. 14 indexed citations
7.
Habash, Nizar, et al.. (2017). A Parallel Corpus for Evaluating Machine Translation between Arabic and European Languages. 235–241. 12 indexed citations
8.
Khalifa, Salam, et al.. (2016). CamelParser: A system for Arabic syntactic analysis and morphological disambiguation. International Conference on Computational Linguistics. 228–232. 18 indexed citations
9.
Taji, Dima, Ramy Eskander, Nizar Habash, & Owen Rambow. (2016). The Columbia University - New York University Abu Dhabi SIGMORPHON 2016 Morphological Reinflection Shared Task Submission. 71–75. 4 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026