Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Rayyan—a web and mobile app for systematic reviews
201615.1k citationsMourad Ouzzani, Hossam M. Hammady et al.Systematic Reviewsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Mourad Ouzzani
Since
Specialization
Citations
This map shows the geographic impact of Mourad Ouzzani'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 Mourad Ouzzani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mourad Ouzzani more than expected).
This network shows the impact of papers produced by Mourad Ouzzani. 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 Mourad Ouzzani. The network helps show where Mourad Ouzzani may publish in the future.
Co-authorship network of co-authors of Mourad Ouzzani
This figure shows the co-authorship network connecting the top 25 collaborators of Mourad Ouzzani.
A scholar is included among the top collaborators of Mourad Ouzzani 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 Mourad Ouzzani. Mourad Ouzzani is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Cao, Lei, Giovanni Simonini, Samuel Madden, et al.. (2020). Dagger: A Data (not code) Debugger. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles).8 indexed citations
2.
Tang, Nan, Ju Fan, Fangyi Li, et al.. (2020). Relational Pretrained Transformers towards Democratizing Data Preparation [Vision].. arXiv (Cornell University).2 indexed citations
3.
Thirumuruganathan, Saravanan, Nan Tang, Mourad Ouzzani, & AnHai Doan. (2020). Data Curation with Deep Learning. Movebank.15 indexed citations
Deng, Dong, Raul Castro Fernandez, Ziawasch Abedjan, et al.. (2017). The data civilizer system. Conference on Innovative Data Systems Research.63 indexed citations
9.
Ouzzani, Mourad, Hossam M. Hammady, Zbys Fedorowicz, & Ahmed K. Elmagarmid. (2016). Rayyan—a web and mobile app for systematic reviews. Systematic Reviews. 5(1). 210–210.15121 indexed citations breakdown →
10.
Tang, Mingjie, et al.. (2016). LocationSpark. Proceedings of the VLDB Endowment. 9(13). 1565–1568.104 indexed citations
11.
Abedjan, Ziawasch, Michael Gubanov, Ihab F. Ilyas, et al.. (2015). DataXFormer: Leveraging the Web for Semantic Transformations. Conference on Innovative Data Systems Research.12 indexed citations
12.
Riley, Catherine, et al.. (2010). The Proteome Discovery Pipeline - A Data Analysis Pipeline for Mass Spectrometry-Based Differential Proteomics Discovery. 3(1).8 indexed citations
Ouzzani, Mourad, Athman Bouguettaya, & Brahim Medjahed. (2003). Optimized querying of e-government services. International Conference on Digital Government Research. 1–4.1 indexed citations
Bouguettaya, Athman, Ahmed K. Elmagarmid, Brahim Medjahed, & Mourad Ouzzani. (2001). Ontology-based Support for Digital Government. Very Large Data Bases. 633–636.5 indexed citations
20.
Ouzzani, Mourad, et al.. (1994). A Top-Down Approach for Two Level Serializability. Very Large Data Bases. 226–237.2 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.