Isabel Wagner

1.2k citations
37 papers · 731 · h-index 11

Impact in

Papers in

Isabel Wagner

34 papers receiving 708 citations

Peers

Isabel Wagner
Comparison fields: 5 of 95
  • Computer Science Applications 64
  • Artificial Intelligence 337
  • Computer Networks and Communications 206
  • Information Systems 201
  • Transportation 50
Replace Sujith Samuel Mathew with:
Sujith Samuel Mathew United Arab Emirates
Xiaotong Wu China
Pantea Keikhosrokiani Malaysia
Cong T. Nguyen Vietnam
Ryong Lee Japan
Alvin Chin China
Kassem Fawaz United States
Media Anugerah Ayu Indonesia
José Viterbo Brazil
Kurtis Heimerl United States
Isabel Wagner relative to Sujith Samuel Mathew United Arab Emirates Sujith Samuel Mathew's profile →
Citations per field
00.5×3.1×
Sujith Samuel Mathew · 1×
Citations per year

Countries citing papers authored by Isabel Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Isabel Wagner, 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 Isabel Wagner Line = papers co-authored together Isabel Wagner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018219
2 2017182
3 2016104
4 201627
5 202320
6 201417
7 202215
8 202214
9 201413
10 201811
11 201511
12 201910
13 20249
14 20209
15 20208
16 20167
17 20196
18 20206
19 20195
20 20215

About Isabel Wagner

Isabel Wagner is a scholar working on Sociology and Political Science, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 37 papers that have together received 731 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (17 papers), Privacy-Preserving Technologies in Data (15 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Advanced Malware Detection Techniques (4 papers), User Authentication and Security Systems (3 papers), Bladder and Urothelial Cancer Treatments (3 papers) and Information and Cyber Security (3 papers). The work is most often cited by research in Computer Science Applications (64 citations), Artificial Intelligence (337 citations), Computer Networks and Communications (206 citations), Information Systems (201 citations) and Transportation (50 citations). Isabel Wagner has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include David Eckhoff, Helge Janicke, Ying He, Λέανδρος Μαγλαράς, Ali H. Al‐Bayatti, Yuchen Zhao, Eerke Boiten, Thomas Reisinger, Iryna Yevseyeva and Cinzia Giannetti. Their work appears in journals such as ACM Transactions on Privacy and Security, ACM Computing Surveys, Forensic Science International Digital Investigation, IEEE Communications Surveys & Tutorials and Current Biology.

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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