Markus Miettinen
- Computer Networks and Communications top 2%
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Information Systems top 2%
- Transportation top 2%
- Co-authors
- Ahmad‐Reza SadeghiThien Duc NguyenN. AsokanOlivier DousseDaniel Gática-PérezSamuel MarchalJ. LaurilaJulien Eberle
- Topics
- Advanced Malware Detection Techniques (14 papers)User Authentication and Security Systems (12 papers)Network Security and Intrusion Detection (10 papers)
- Journals
- IEEE Journal on Selected Areas in CommunicationsComputer CommunicationsPervasive and Mobile Computing
- Partner nations
- GermanyFinlandUnited States
In The Last Decade
Markus Miettinen
35 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 77
- Computer Networks and Communications 638
- Artificial Intelligence 504
- Signal Processing 390
- Information Systems 326
- Transportation 240
Countries citing papers authored by Markus Miettinen
This map shows the geographic impact of Markus Miettinen'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 Markus Miettinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Miettinen more than expected).
Fields of papers citing papers by Markus Miettinen
This network shows the impact of papers produced by Markus Miettinen. 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 Markus Miettinen. The network helps show where Markus Miettinen may publish in the future.
Co-authorship network of co-authors of Markus Miettinen
This figure shows the co-authorship network connecting the top 25 collaborators of Markus Miettinen. A scholar is included among the top collaborators of Markus Miettinen 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 Markus Miettinen. Markus Miettinen 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 | 1 | |
| 3 | 2 | |
| 4 | BAFFLE: TOWARDS RESOLVING FEDERATED LEARNING’S DILEMMA - THWARTING BACKDOOR AND INFERENCE ATTACKS | 1 |
| 5 | 2 | |
| 6 | 160 | |
| 7 | 23 | |
| 8 | 64 | |
| 9 | 2 | |
| 10 | DÏoT: A Crowdsourced Self-learning Approach for Detecting Compromised IoT Devices | 28 |
| 11 | 21 | |
| 12 | 8 | |
| 13 | 68 | |
| 14 | 36 | |
| 15 | 2 | |
| 16 | ConXsense - Context Sensing for Adaptive Usable Access Control | 3 |
| 17 | The Mobile Data Challenge: Big Data for Mobile Computing Research | 292 |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 35 |
About Markus Miettinen
Markus Miettinen is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (14 papers), User Authentication and Security Systems (12 papers) and Network Security and Intrusion Detection (10 papers). The work is most often cited by research in Signal Processing (390 citations), Transportation (240 citations) and Computer Networks and Communications (638 citations). Markus Miettinen has collaborated with scholars based in Germany, Finland and United States. Frequent co-authors include Ahmad‐Reza Sadeghi, Thien Duc Nguyen, N. Asokan, Olivier Dousse, Daniel Gática-Pérez, Samuel Marchal, J. Laurila, Julien Eberle, Jan Blom and Imad Aad. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, Computer Communications and Pervasive and Mobile Computing.
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.