Mario Heiderich
- Information Systems top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computer Networks and Communications
- Sociology and Political Science
- Co-authors
- Jörg SchwenkThorsten HolzMeiko JensenJuraj SomorovskyLuigi Lo IaconoNils GruschkaFélix SchusterEdward Z. Yang
- Topics
- Web Application Security Vulnerabilities (7 papers)Security and Verification in Computing (7 papers)Advanced Malware Detection Techniques (6 papers)
- Journals
- Journal of Computer SecurityCERN Document Server (European Organization for Nuclear Research)Chalmers Research (Chalmers University of Technology)
- Partner nations
- GermanySwedenUnited Kingdom
In The Last Decade
Mario Heiderich
10 papers receiving 188 citations
Peers
Comparison fields: 5 of 19
- Information Systems 179
- Artificial Intelligence 143
- Signal Processing 88
- Computer Networks and Communications 53
- Sociology and Political Science 11
Countries citing papers authored by Mario Heiderich
This map shows the geographic impact of Mario Heiderich'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 Mario Heiderich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Heiderich more than expected).
Fields of papers citing papers by Mario Heiderich
This network shows the impact of papers produced by Mario Heiderich. 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 Mario Heiderich. The network helps show where Mario Heiderich may publish in the future.
Co-authorship network of co-authors of Mario Heiderich
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Heiderich. A scholar is included among the top collaborators of Mario Heiderich 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 Mario Heiderich. Mario Heiderich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | ToStaticHTML for Everyone! About DOMPurify, Security in the {DOM}, and Why We Really Need Both | 1 |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 34 | |
| 6 | On the fragility and limitations of current browser-provided clickjacking protection schemes | 13 |
| 7 | 49 | |
| 8 | All your clouds are belong to us | 1 |
| 9 | 81 | |
| 10 | 11 | |
| 11 | Web Application Obfuscation: '-/Wafs..Evasion..Filters//Alert(/Obfuscation/)-' | 2 |
About Mario Heiderich
Mario Heiderich is a scholar working on Signal Processing, Information Systems and Artificial Intelligence, having authored 11 papers that have together received 207 indexed citations. Recurring topics across this work include Web Application Security Vulnerabilities (7 papers), Security and Verification in Computing (7 papers) and Advanced Malware Detection Techniques (6 papers). The work is most often cited by research in Signal Processing (88 citations), Information Systems (179 citations) and Artificial Intelligence (143 citations). Mario Heiderich has collaborated with scholars based in Germany, Sweden and United Kingdom. Frequent co-authors include Jörg Schwenk, Thorsten Holz, Meiko Jensen, Juraj Somorovsky, Luigi Lo Iacono, Nils Gruschka, Félix Schuster, Edward Z. Yang, Martin Johns and Sebastian Lekies. Their work appears in journals such as Journal of Computer Security, CERN Document Server (European Organization for Nuclear Research) and Chalmers Research (Chalmers University of Technology).
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.