Marc Ph. Stoecklin
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Co-authors
- Jiyong JangAndreas KindXenofontas DimitropoulosJialong ZhangHeqing HuangZhongshu GuHui WuIan Molloy
- Topics
- Network Security and Intrusion Detection (24 papers)Advanced Malware Detection Techniques (16 papers)Internet Traffic Analysis and Secure E-voting (11 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Marc Ph. Stoecklin
28 papers receiving 682 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 462
- Computer Networks and Communications 372
- Signal Processing 244
- Computer Vision and Pattern Recognition 195
- Information Systems 172
Countries citing papers authored by Marc Ph. Stoecklin
This map shows the geographic impact of Marc Ph. Stoecklin'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 Marc Ph. Stoecklin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Ph. Stoecklin more than expected).
Fields of papers citing papers by Marc Ph. Stoecklin
This network shows the impact of papers produced by Marc Ph. Stoecklin. 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 Marc Ph. Stoecklin. The network helps show where Marc Ph. Stoecklin may publish in the future.
Co-authorship network of co-authors of Marc Ph. Stoecklin
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Ph. Stoecklin. A scholar is included among the top collaborators of Marc Ph. Stoecklin 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 Marc Ph. Stoecklin. Marc Ph. Stoecklin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 42 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | Protecting Intellectual Property of Deep Neural Networks with Watermarkingbreakdown → | 277 |
| 6 | 25 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 16 | |
| 10 | 13 | |
| 11 | 8 | |
| 12 | 10 | |
| 13 | 8 | |
| 14 | 6 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | Practical comprehensive bounds on surreptitious communication over DNS | 23 |
| 18 | 10 | |
| 19 | 7 | |
| 20 | 7 |
About Marc Ph. Stoecklin
Marc Ph. Stoecklin is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 28 papers that have together received 718 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (24 papers), Advanced Malware Detection Techniques (16 papers) and Internet Traffic Analysis and Secure E-voting (11 papers). The work is most often cited by research in Signal Processing (244 citations), Computer Networks and Communications (372 citations) and Artificial Intelligence (462 citations). Marc Ph. Stoecklin has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Jiyong Jang, Andreas Kind, Xenofontas Dimitropoulos, Jialong Zhang, Heqing Huang, Zhongshu Gu, Hui Wu, Ian Molloy, Michail Vlachos and Francesco Fusco. Their work appears in journals such as IBM Journal of Research and Development, Computer Networks and Proceedings of the VLDB Endowment.
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.