Wisam Dakka

3 papers and 61 indexed citations i.

About

Wisam Dakka is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Wisam Dakka has authored 3 papers receiving a total of 61 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Signal Processing. Recurrent topics in Wisam Dakka’s work include Topic Modeling (2 papers), Advanced Graph Neural Networks (1 paper) and Web Data Mining and Analysis (1 paper). Wisam Dakka is often cited by papers focused on Topic Modeling (2 papers), Advanced Graph Neural Networks (1 paper) and Web Data Mining and Analysis (1 paper). Wisam Dakka collaborates with scholars based in United States and United Kingdom. Wisam Dakka's co-authors include Luis Gravano, Panagiotis G. Ipeirotis, Silviu Cucerzan and Sameer Maskey and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Interspeech 2022 and International Joint Conference on Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Wisam Dakka i

Fields of papers citing papers by Wisam Dakka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wisam Dakka

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025