Isabel Wagner

1.2k citations
37 papers · 711 · h-index 11

Impact in

Papers in

Isabel Wagner

33 papers receiving 688 citations

Peers

Isabel Wagner
Comparison fields: 5 of 94
  • Computer Science Applications 64
  • Artificial Intelligence 334
  • Computer Networks and Communications 204
  • Information Systems 197
  • Transportation 49
Replace Sujith Samuel Mathew with:
Sujith Samuel Mathew United Arab Emirates
José Viterbo Brazil
Alvin Chin China
Ryong Lee Japan
Kassem Fawaz United States
Media Anugerah Ayu Indonesia
Kurtis Heimerl United States
Chandra Narayanaswami United States
László Kovács Hungary
Maqbool Khan Pakistan
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 2018213
2 2017178
3 2016105
4 201627
5 201417
6 202317
7 202215
8 202214
9 201413
10 201811
11 201511
12 201910
13 20209
14 20208
15 20247
16 20167
17 20206
18 20195
19 20215
20 20195

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 711 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), Bladder and Urothelial Cancer Treatments (3 papers), Information and Cyber Security (3 papers) and User Authentication and Security Systems (3 papers). The work is most often cited by research in Computer Science Applications (64 citations), Artificial Intelligence (334 citations), Computer Networks and Communications (204 citations), Information Systems (197 citations) and Transportation (49 citations). Isabel Wagner has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include David Eckhoff, Ying He, Helge Janicke, Λέανδρος Μαγλαράς, Ali H. Al‐Bayatti, Yuchen Zhao, Eerke Boiten, Thomas Reisinger, Iryna Yevseyeva and Aladdin Ayesh. Their work appears in journals such as ACM Computing Surveys, ACM Transactions on Privacy and Security, IEEE Transactions on Mobile Computing, Current Biology and Forensic Science International Digital Investigation.

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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