Edda Leopold
Impact in
- Artificial Intelligence top 5%
- Text and Document Classification Technologies
- Authorship Attribution and Profiling
- Topic Modeling
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Hate Speech and Cyberbullying Detection
- Information Systems top 5%
- Spam and Phishing Detection
- Web Data Mining and Analysis
Papers in
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- Business Process Modeling and Analysis 2
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- Natural Language Processing Techniques 4
- Semantic Web and Ontologies 2
- Text and Document Classification Technologies 2
- Co-authors
- Jörg KindermannGerhard PaaßJoachim DiederichBjörn DeckerKlaus‐Dieter AlthoffJörg RechMartha LarsonStefan Eickeler
In The Last Decade
Edda Leopold
10 papers receiving 468 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 473
- Information Systems 205
- Computer Vision and Pattern Recognition 61
- Signal Processing 25
- General Social Sciences 5
Countries citing papers authored by Edda Leopold
This map shows the geographic impact of Edda Leopold'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 Edda Leopold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edda Leopold more than expected).
Fields of papers citing papers by Edda Leopold
This network shows the impact of papers produced by Edda Leopold. 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 Edda Leopold. The network helps show where Edda Leopold may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Edda Leopold, 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 | 2024 | 0 | |
| 2 | On Semantic Spaces. | 2005 | 6 |
| 3 | 2005 | 1 | |
| 4 | 2004 | 2 | |
| 5 | Learning Prototype Ontologies by Hierachical Latent Semantic Analysis. | 2004 | 7 |
| 6 | 2004 | 2 | |
| 7 | 2004 | 10 | |
| 8 | 2003 | 218 | |
| 9 | 2002 | 279 | |
| 10 | 2002 | 4 | |
| 11 | Das Zipfsche Gesetz. | 2002 | 1 |
| 12 | 1998 | 6 |
About Edda Leopold
Edda Leopold is a scholar working on Management Information Systems, Artificial Intelligence, Signal Processing, Information Systems and Management of Technology and Innovation, having authored 12 papers that have together received 536 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Semantic Web and Ontologies (2 papers), Business Process Modeling and Analysis (2 papers), Image Retrieval and Classification Techniques (2 papers), Video Analysis and Summarization (2 papers), Text and Document Classification Technologies (2 papers), Language and cultural evolution (1 paper) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Artificial Intelligence (473 citations), Information Systems (205 citations), Computer Vision and Pattern Recognition (61 citations), Signal Processing (25 citations) and General Social Sciences (5 citations). Edda Leopold has collaborated with scholars based in Germany, Australia and Spain. Frequent co-authors include Jörg Kindermann, Gerhard Paaß, Joachim Diederich, Björn Decker, Klaus‐Dieter Althoff, Jörg Rech, Martha Larson, Stefan Eickeler and Angi Voß. Their work appears in journals such as Journal of Quantitative Linguistics, Data & Knowledge Engineering, Computers & Graphics, Machine Learning and Applied Intelligence.
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.