Wisam Dakka
- Artificial Intelligence top 5%
- Information Systems top 5%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Co-authors
- Panagiotis G. IpeirotisLuis GravanoSilviu CucerzanNilesh BansalDimitris PapadiasNick KoudasYin YangSameer Maskey
- Topics
- Web Data Mining and Analysis (5 papers)Topic Modeling (3 papers)Data Management and Algorithms (3 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringRare & Special e-Zone (The Hong Kong University of Science and Technology)International Joint Conference on Natural Language Processing
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Wisam Dakka
8 papers receiving 300 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 239
- Information Systems 179
- Signal Processing 90
- Computer Vision and Pattern Recognition 48
- Computer Networks and Communications 44
Countries citing papers authored by Wisam Dakka
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).
Fields of papers citing papers by Wisam Dakka
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.
Co-authorship network of co-authors of Wisam Dakka
This figure shows the co-authorship network connecting the top 25 collaborators of Wisam Dakka. A scholar is included among the top collaborators of Wisam Dakka 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 Wisam Dakka. Wisam Dakka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 55 | |
| 2 | 1 | |
| 3 | 71 | |
| 4 | Augmenting Wikipedia with Named Entity Tags. | 38 |
| 5 | 34 | |
| 6 | 65 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 59 |
About Wisam Dakka
Wisam Dakka is a scholar working on Signal Processing, Information Systems and Artificial Intelligence, having authored 9 papers that have together received 332 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (5 papers), Topic Modeling (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Signal Processing (90 citations), Information Systems (179 citations) and Artificial Intelligence (239 citations). Wisam Dakka has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Panagiotis G. Ipeirotis, Luis Gravano, Silviu Cucerzan, Nilesh Bansal, Dimitris Papadias, Nick Koudas, Yin Yang and Sameer Maskey. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and International Joint Conference on Natural Language Processing.
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.