Vincent Bindschaedler

1.8k citations
25 papers · 1.1k · h-index 14

Impact in

    • Privacy-Preserving Technologies in Data
    • Cryptography and Data Security
    • Security and Verification in Computing
    • Adversarial Robustness in Machine Learning
    • Internet Traffic Analysis and Secure E-voting

Papers in

    • Privacy-Preserving Technologies in Data 9
    • Internet Traffic Analysis and Secure E-voting 7
    • Cryptography and Data Security 5
    • Adversarial Robustness in Machine Learning 4
    • Speech Recognition and Synthesis 3
    • Advanced Malware Detection Techniques 5

Vincent Bindschaedler

22 papers receiving 1.0k citations

Peers

Vincent Bindschaedler
Comparison fields: 5 of 59
  • Artificial Intelligence 905
  • Health Informatics 21
  • Transportation 93
  • Signal Processing 145
  • Information Systems 239
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Dong Su United States
Antonis Michalas Finland
Yao Wan China
Mukund Sundararajan United States
Abhradeep Thakurta United States
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Citations per year

Countries citing papers authored by Vincent Bindschaedler

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Bindschaedler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017214
2 2016164
3 2017145
4 2022106
5 2017101
6 201567
7 202053
8 201848
9 201248
10 201316
11 202116
12 202214
13 201714
14 202214
15 201411
16 20239
17 20176
18 20205
19 20224
20 20234

About Vincent Bindschaedler

Vincent Bindschaedler is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Hardware and Architecture and Safety Research, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (9 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Cryptography and Data Security (5 papers), Advanced Malware Detection Techniques (5 papers), Adversarial Robustness in Machine Learning (4 papers), Spam and Phishing Detection (4 papers), Privacy, Security, and Data Protection (3 papers) and Speech Recognition and Synthesis (3 papers). The work is most often cited by research in Artificial Intelligence (905 citations), Health Informatics (21 citations), Transportation (93 citations), Signal Processing (145 citations) and Information Systems (239 citations). Vincent Bindschaedler has collaborated with scholars based in United States, Jamaica and Switzerland. Frequent co-authors include Reza Shokri, Carl A. Gunter, Muhammad Naveed, Xiaorui Pan, Thomas Ristenpart, Paul Grubbs, Haixu Tang, XiaoFeng Wang, Wenhao Wang and Yinqian Zhang. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Access, IEEE Transactions on Mobile Computing, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Lecture notes in computer science.

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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