Kathrin Grosse
Impact in
-
- Advanced Malware Detection Techniques
- Artificial Intelligence top 10%
- Adversarial Robustness in Machine Learning
- Sentiment Analysis and Opinion Mining
- Anomaly Detection Techniques and Applications
- Topic Modeling
- Multi-Agent Systems and Negotiation
Papers in
-
- Adversarial Robustness in Machine Learning 8
- Anomaly Detection Techniques and Applications 3
- Semantic Web and Ontologies 2
- Multi-Agent Systems and Negotiation 2
- Advanced Text Analysis Techniques 1
-
- Ethics and Social Impacts of AI 4
- Co-authors
- Battista Biggio (7 shared papers)Ana Gabriela Maguitman (3 shared papers)Carlos Iván Chesñevar (4 shared papers)Fabio Roli (3 shared papers)Ambra Demontis (3 shared papers)Marcello Pelillo (3 shared papers)Werner Zellinger (2 shared papers)María Paula González (1 shared paper)
- Journals
- Information Sciences (1 paper)International Journal of Machine Learning and Cybernetics (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)European Transport Research Review (1 paper)Computer (1 paper)
- Partner nations
- SwitzerlandItalyGermany
In The Last Decade
Kathrin Grosse
13 papers receiving 146 citations
Peers
Comparison fields: 5 of 37
- Signal Processing 42
- Artificial Intelligence 114
- Health Informatics 3
- Safety Research 14
- Computer Networks and Communications 28
Countries citing papers authored by Kathrin Grosse
This map shows the geographic impact of Kathrin Grosse'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 Kathrin Grosse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathrin Grosse more than expected).
Fields of papers citing papers by Kathrin Grosse
This network shows the impact of papers produced by Kathrin Grosse. 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 Kathrin Grosse. The network helps show where Kathrin Grosse may publish in the future.
Co-authors
The 25 scholars most cited alongside Kathrin Grosse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 58 | |
| 2 | 2023 | 22 | |
| 3 | 2015 | 22 | |
| 4 | 2024 | 12 | |
| 5 | An Argument-based Approach to Mining Opinions from Twitter. | 2012 | 12 |
| 6 | 2022 | 9 | |
| 7 | Empowering an E-Government Platform Through Twitter-Based Arguments | 2012 | 5 |
| 8 | 2023 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 2 | |
| 12 | 2024 | 2 | |
| 13 | A First Approach Towards Integrating Twitter and Defeasible Argumentation | 2012 | 1 |
| 14 | 2024 | 0 | |
| 15 | 2025 | 0 |
About Kathrin Grosse
Kathrin Grosse is a scholar working on Artificial Intelligence, Safety Research, Signal Processing, Automotive Engineering and Political Science and International Relations, having authored 15 papers that have together received 154 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (8 papers), Ethics and Social Impacts of AI (4 papers), Advanced Malware Detection Techniques (3 papers), Anomaly Detection Techniques and Applications (3 papers), Semantic Web and Ontologies (2 papers), Multi-Agent Systems and Negotiation (2 papers), Autonomous Vehicle Technology and Safety (2 papers) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Signal Processing (42 citations), Artificial Intelligence (114 citations), Health Informatics (3 citations), Safety Research (14 citations) and Computer Networks and Communications (28 citations). Kathrin Grosse has collaborated with scholars based in Switzerland, Italy and Germany. Frequent co-authors include Battista Biggio, Ana Gabriela Maguitman, Carlos Iván Chesñevar, Fabio Roli, Ambra Demontis, Marcello Pelillo, Werner Zellinger, María Paula González, Sebastiano Vascon and Alina Oprea. Their work appears in journals such as Information Sciences, International Journal of Machine Learning and Cybernetics, IEEE Transactions on Intelligent Transportation Systems, European Transport Research Review and Computer.
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.