Wisam Dakka

11 total papers · 530 total citations
9 papers, 334 citations indexed

About

Wisam Dakka is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Wisam Dakka has authored 9 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 5 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Wisam Dakka's work include Web Data Mining and Analysis (5 papers), Topic Modeling (3 papers) and Data Management and Algorithms (3 papers). Wisam Dakka is often cited by papers focused on Web Data Mining and Analysis (5 papers), Topic Modeling (3 papers) and Data Management and Algorithms (3 papers). Wisam Dakka collaborates with scholars based in United States, United Kingdom and Canada. Wisam Dakka's co-authors include Panagiotis G. Ipeirotis, Luis Gravano, Silviu Cucerzan, Yin Yang, Dimitris Papadias, Nick Koudas, Nilesh Bansal and Sameer Maskey and has published in prestigious 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.

In The Last Decade

Wisam Dakka

8 papers receiving 302 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Wisam Dakka	241	179	91	48	45	9	334
Jagdev Bhogal	248 1.0×	176 1.0×	57 0.6×	35 0.7×	54 1.2×	18	375
Sofia Angeletou	298 1.2×	210 1.2×	34 0.4×	24 0.5×	72 1.6×	12	359
Sheila Kinsella	170 0.7×	131 0.7×	76 0.8×	20 0.4×	45 1.0×	9	329
Thian‐Huat Ong	164 0.7×	223 1.2×	26 0.3×	77 1.6×	49 1.1×	8	350
Daniel Tunkelang	131 0.5×	123 0.7×	37 0.4×	82 1.7×	37 0.8×	16	294
Reiner Kraft	157 0.7×	246 1.4×	62 0.7×	57 1.2×	35 0.8×	19	326
Nilesh Bansal	157 0.7×	154 0.9×	86 0.9×	37 0.8×	86 1.9×	10	307
Bodo Billerbeck	161 0.7×	230 1.3×	85 0.9×	67 1.4×	33 0.7×	19	317
Roberto Mirizzi	243 1.0×	271 1.5×	25 0.3×	66 1.4×	44 1.0×	16	355
Marshall Ramsey	123 0.5×	163 0.9×	63 0.7×	74 1.5×	62 1.4×	16	297

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).

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.

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

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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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