Daniel J. Weitzner

2.8k citations
53 papers · 1.9k · h-index 20

Impact in

Papers in

    • Privacy, Security, and Data Protection 19
    • Access Control and Trust 8
    • Internet Traffic Analysis and Secure E-voting 9
    • Privacy-Preserving Technologies in Data 8
    • Semantic Web and Ontologies 4
    • Cryptography and Data Security 3

Daniel J. Weitzner

49 papers receiving 1.7k citations

Peers

Daniel J. Weitzner
Comparison fields: 5 of 112
  • Information Systems 744
  • Information Systems and Management 206
  • Artificial Intelligence 830
  • Computer Science Applications 117
  • Communication 139
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Citations per field
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Citations per year

Countries citing papers authored by Daniel J. Weitzner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Weitzner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Weitzner. 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 Daniel J. Weitzner. The network helps show where Daniel J. Weitzner may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel J. Weitzner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel J. Weitzner Line = papers co-authored together Daniel J. Weitzner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008289
2 2008230
3 2006223
4 2006198
5 2001112
6 201591
7 202068
8 201764
9 201562
10
Transparent Accountable Data Mining: New Strategies for Privacy Protection
200653
11
Using semantic web technologies for policy management on the web
200652
12 200846
13 200837
14
The Ballot is Busted Before the Blockchain: A Security Analysis of Voatz, the First Internet Voting Application Used in U.S. Federal Elections.
202036
15 200731
16 201429
17 201127
18 200625
19 199522
20 201920

About Daniel J. Weitzner

Daniel J. Weitzner is a scholar working on Sociology and Political Science, Artificial Intelligence, Information Systems, Signal Processing and Computer Networks and Communications, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (19 papers), Internet Traffic Analysis and Secure E-voting (9 papers), Access Control and Trust (8 papers), Privacy-Preserving Technologies in Data (8 papers), Advanced Malware Detection Techniques (8 papers), User Authentication and Security Systems (7 papers), Semantic Web and Ontologies (4 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Information Systems (744 citations), Information Systems and Management (206 citations), Artificial Intelligence (830 citations), Computer Science Applications (117 citations) and Communication (139 citations). Daniel J. Weitzner has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Tim Berners‐Lee, James Hendler, Nigel Shadbolt, Wendy Hall, Harold Abelson, Gerald Jay Sussman, Joan Feigenbaum, Ilaria Liccardi, Lalana Kagal and Mark S. Ackerman. Their work appears in journals such as IEEE Internet Computing, Communications of the ACM, Internet Research, Science and JAMA.

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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