Wahbeh Qardaji

1.4k citations
12 papers · 787 indexed · h-index 9
Topics
Privacy-Preserving Technologies in Data (9 papers)Cryptography and Data Security (7 papers)Internet Traffic Analysis and Secure E-voting (2 papers)
Journals
Proceedings of the VLDB EndowmentarXiv (Cornell University)Purdue e-Pubs (Purdue University System)
Partner nations
United States

In The Last Decade

Wahbeh Qardaji

12 papers receiving 760 citations

Peers

Wahbeh Qardaji
Comparison fields: 5 of 35
  • Artificial Intelligence 698
  • Sociology and Political Science 265
  • Computer Science Applications 170
  • Electrical and Electronic Engineering 138
  • Information Systems 92
Replace Mukund Sundararajan with:
Mukund Sundararajan United States
Ali Khoshgozaran United States
Vincent Bindschaedler United States
Nadia Fawaz United States
Yaguang Lin China
Huayi Duan Hong Kong
Shaojing Fu China
Chengjun Cai Hong Kong
Mohammad Yahya H. Al-Shamri Saudi Arabia
Wahbeh Qardaji relative to Mukund Sundararajan United States Mukund Sundararajan's profile →
Citations per field
00.5×4.9×
Mukund Sundararajan · 1×
Citations per year

Countries citing papers authored by Wahbeh Qardaji

Since Specialization
Citations

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

Fields of papers citing papers by Wahbeh Qardaji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wahbeh Qardaji

This figure shows the co-authorship network connecting the top 25 collaborators of Wahbeh Qardaji. A scholar is included among the top collaborators of Wahbeh Qardaji 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 Wahbeh Qardaji. Wahbeh Qardaji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 77
2 173
3 110
4 85
5 106
6 2
7 95
8 4
9 8
10
Provably Private Data Anonymization: Or, k-Anonymity Meets Differential Privacy
58
11 19
12 50

About Wahbeh Qardaji

Wahbeh Qardaji is a scholar working on Artificial Intelligence, Signal Processing and Computer Science Applications, having authored 12 papers that have together received 787 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (9 papers), Cryptography and Data Security (7 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). The work is most often cited by research in Computer Science Applications (170 citations), Artificial Intelligence (698 citations) and Transportation (61 citations). Wahbeh Qardaji has collaborated with scholars based in United States. Frequent co-authors include Ninghui Li, Wei‐Ning Yang, Dong Su, Jianneng Cao, Yi Wu, Stephen McLaughlin, Patrick McDaniel, Elisa Bertino, Prathima Rao and Jorge Lobo. Their work appears in journals such as Proceedings of the VLDB Endowment, arXiv (Cornell University) and Purdue e-Pubs (Purdue University System).

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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