Edda Leopold
Impact in
- Artificial Intelligence top 2%
- 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
-
- Text and Document Classification Technologies 6
- Semantic Web and Ontologies 5
- Natural Language Processing Techniques 4
- Advanced Text Analysis Techniques 2
-
- Spam and Phishing Detection 2
- Web Data Mining and Analysis 2
- Co-authors
- Jörg Kindermann (9 shared papers)Gerhard Paaß (8 shared papers)Joachim Diederich (1 shared paper)Martha Larson (2 shared papers)Stefan Eickeler (2 shared papers)Michael May (1 shared paper)Jörg Rech (4 shared papers)Klaus‐Dieter Althoff (4 shared papers)
- Journals
- Journal of Quantitative Linguistics (1 paper)Data & Knowledge Engineering (1 paper)Applied Intelligence (1 paper)Computers & Graphics (1 paper)Machine Learning (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Edda Leopold
17 papers receiving 639 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 613
- Information Systems 286
- Computer Vision and Pattern Recognition 79
- Signal Processing 40
- Management Information Systems 33
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-authors
The 10 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 | 2002 | 332 | |
| 2 | 2003 | 264 | |
| 3 | 2002 | 25 | |
| 4 | 2006 | 19 | |
| 5 | 2002 | 16 | |
| 6 | 2001 | 13 | |
| 7 | 2004 | 12 | |
| 8 | Learning Prototype Ontologies by Hierachical Latent Semantic Analysis. | 2004 | 11 |
| 9 | 1998 | 7 | |
| 10 | On Semantic Spaces. | 2005 | 6 |
| 11 | 2002 | 6 | |
| 12 | 2004 | 4 | |
| 13 | 2002 | 4 | |
| 14 | 2004 | 2 | |
| 15 | 2007 | 2 | |
| 16 | 2004 | 2 | |
| 17 | 2005 | 1 | |
| 18 | Das Zipfsche Gesetz. | 2002 | 1 |
| 19 | 2024 | 0 |
About Edda Leopold
Edda Leopold is a scholar working on Artificial Intelligence, Information Systems, Management Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 727 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (6 papers), Semantic Web and Ontologies (5 papers), Business Process Modeling and Analysis (4 papers), Natural Language Processing Techniques (4 papers), Spam and Phishing Detection (2 papers), Web Data Mining and Analysis (2 papers), Advanced Text Analysis Techniques (2 papers) and Music and Audio Processing (2 papers). The work is most often cited by research in Artificial Intelligence (613 citations), Information Systems (286 citations), Computer Vision and Pattern Recognition (79 citations), Signal Processing (40 citations) and Management Information Systems (33 citations). Edda Leopold has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Jörg Kindermann, Gerhard Paaß, Joachim Diederich, Martha Larson, Stefan Eickeler, Michael May, Jörg Rech, Klaus‐Dieter Althoff, Björn Decker and Angi Voß. Their work appears in journals such as Journal of Quantitative Linguistics, Data & Knowledge Engineering, Applied Intelligence, Computers & Graphics and Machine Learning.
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.