Lena Clever
Impact in
- Communication top 10%
- Social Media and Politics
- Information Systems top 10%
- Spam and Phishing Detection
Papers in
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- Misinformation and Its Impacts 4
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- Hate Speech and Cyberbullying Detection 3
- Data Stream Mining Techniques 1
- Sentiment Analysis and Opinion Mining 1
- Co-authors
- Christian Grimme (3 shared papers)Heike Trautmann (4 shared papers)Mike Preuß (1 shared paper)Lena Frischlich (6 shared papers)Dennis Assenmacher (2 shared papers)Thorsten Quandt (1 shared paper)Tim Schatto‐Eckrodt (5 shared papers)Jakob Bossek (1 shared paper)
- Journals
- Social Media + Society (2 papers)Applied Sciences (1 paper)Big Data (1 paper)American Behavioral Scientist (1 paper)Social Science Computer Review (1 paper)
- Partner nations
- GermanyNetherlandsDenmark
In The Last Decade
Lena Clever
8 papers receiving 153 citations
Peers
Comparison fields: 5 of 34
- Communication 50
- Information Systems 62
- Sociology and Political Science 112
- Signal Processing 26
- Artificial Intelligence 61
Countries citing papers authored by Lena Clever
This map shows the geographic impact of Lena Clever'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 Lena Clever with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lena Clever more than expected).
Fields of papers citing papers by Lena Clever
This network shows the impact of papers produced by Lena Clever. 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 Lena Clever. The network helps show where Lena Clever may publish in the future.
Co-authors
The 13 scholars most cited alongside Lena Clever, 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 | 2017 | 84 | |
| 2 | 2020 | 50 | |
| 3 | 2022 | 18 | |
| 4 | 2023 | 6 | |
| 5 | 2020 | 3 | |
| 6 | 2022 | 3 | |
| 7 | Towards Real-Time and Unsupervised Campaign Detection in Social Media. | 2020 | 2 |
| 8 | 2024 | 2 | |
| 9 | 2025 | 0 | |
| 10 | 2023 | 0 |
About Lena Clever
Lena Clever is a scholar working on Sociology and Political Science, Artificial Intelligence, Communication, Information Systems and Signal Processing, having authored 10 papers that have together received 168 indexed citations. Recurring topics across this work include Social Media and Politics (4 papers), Misinformation and Its Impacts (4 papers), Hate Speech and Cyberbullying Detection (3 papers), Spam and Phishing Detection (2 papers), Advanced Malware Detection Techniques (2 papers), Data Stream Mining Techniques (1 paper), Species Distribution and Climate Change (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Communication (50 citations), Information Systems (62 citations), Sociology and Political Science (112 citations), Signal Processing (26 citations) and Artificial Intelligence (61 citations). Lena Clever has collaborated with scholars based in Germany, Netherlands and Denmark. Frequent co-authors include Christian Grimme, Heike Trautmann, Mike Preuß, Lena Frischlich, Dennis Assenmacher, Thorsten Quandt, Tim Schatto‐Eckrodt, Jakob Bossek, Pascal Kerschke and Ralf Schenkel. Their work appears in journals such as Social Media + Society, Applied Sciences, Big Data, American Behavioral Scientist and Social Science Computer Review.
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.