Daniel J. Weitzner

2.8k total citations
46 papers, 1.4k citations indexed

About

Daniel J. Weitzner is a scholar working on Sociology and Political Science, Artificial Intelligence and Information Systems. According to data from OpenAlex, Daniel J. Weitzner has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Sociology and Political Science, 19 papers in Artificial Intelligence and 17 papers in Information Systems. Recurrent topics in Daniel J. Weitzner's work include Privacy, Security, and Data Protection (18 papers), Internet Traffic Analysis and Secure E-voting (9 papers) and Advanced Malware Detection Techniques (8 papers). Daniel J. Weitzner is often cited by papers focused on Privacy, Security, and Data Protection (18 papers), Internet Traffic Analysis and Secure E-voting (9 papers) and Advanced Malware Detection Techniques (8 papers). Daniel J. Weitzner collaborates with scholars based in United States, United Kingdom and South Sudan. Daniel J. Weitzner's co-authors include Tim Berners‐Lee, James Hendler, Nigel Shadbolt, Wendy Hall, Gerald Jay Sussman, Harold Abelson, Ilaria Liccardi, Joan Feigenbaum, Lalana Kagal and Kieron O’Hara and has published in prestigious journals such as Science, JAMA and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel J. Weitzner

44 papers receiving 1.3k citations

Peers

Daniel J. Weitzner
Comparison fields: 5 of 113
  • Sociology and Political Science 590
  • Artificial Intelligence 585
  • Information Systems 549
  • Computer Networks and Communications 228
  • Information Systems and Management 157
Replace Wingyan Chung with:
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Esma Aı̈meur Canada
Jennifer Xu United States
Wingyan Chung United States View profile →
Citations per field, relative to Daniel J. Weitzner
Daniel J. Weitzner · 1×
Citations per year, relative to Daniel J. Weitzner
Daniel J. Weitzner · 1×

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-authorship network of co-authors of Daniel J. Weitzner

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Weitzner. A scholar is included among the top collaborators of Daniel J. Weitzner 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 Daniel J. Weitzner. Daniel J. Weitzner 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
# Work Indexed citations
1 1
2
Ransomware Readiness Index: A Proposal to Measure Current Preparedness and Progress Over Time
1
3 2
4
Practical Accountability of Secret Processes
10
5 5
6 54
7 15
8
Detecting Creative Commons License Violations on Images on the World Wide Web
2
9 2
10 181
11 207
12 0
13 1
14 6
15
Transparent Accountable Data Mining: New Strategies for Privacy Protection
39
16
Using semantic web technologies for policy management on the web
42
17 1
18 11
19 3
20 3

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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