Dima Suleiman

23 papers and 194 indexed citations i.

About

Dima Suleiman is a scholar working on Artificial Intelligence, Information Systems and Hardware and Architecture. According to data from OpenAlex, Dima Suleiman has authored 23 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Hardware and Architecture. Recurrent topics in Dima Suleiman’s work include Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Algorithms and Data Compression (4 papers). Dima Suleiman is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Algorithms and Data Compression (4 papers). Dima Suleiman collaborates with scholars based in Jordan, United States and United Arab Emirates. Dima Suleiman's co-authors include Arafat Awajan, Wael Etaiwi, Ghazi Al‐Naymat, Amjad Hudaib, Rizik Al-Sayyed, Adnan Shaout, Hadeel Alazzam, Abdel Rahman Mitib Altakhaineh, Aseel Zibin and Ala’ M. Al-Zoubi and has published in prestigious journals such as Knowledge-Based Systems, Multimedia Tools and Applications and Journal of Psycholinguistic Research.

In The Last Decade

Co-authorship network of co-authors of Dima Suleiman i

Fields of papers citing papers by Dima Suleiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dima Suleiman

Since Specialization
Citations

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

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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