W. Greiner
Impact in
- Information Systems top 2%
- Web Data Mining and Analysis
- Information Retrieval and Search Behavior
- Recommender Systems and Techniques
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
-
- Machine Learning and Algorithms 3
-
- Image and Object Detection Techniques 2
- Co-authors
- Omid Madani (3 shared papers)Benjamin Rey (1 shared paper)Rosie Jones (2 shared papers)Roland Würschum (3 shared papers)H. SCHAEFER (2 shared papers)O. Schneeweiss (1 shared paper)Р. З. Валиев (1 shared paper)M. Rapp (1 shared paper)
- Journals
- Science (1 paper)Nanostructured Materials (1 paper)Machine Vision and Applications (1 paper)Journal of Machine Learning Research (1 paper)Crystal Research and Technology (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
W. Greiner
14 papers receiving 505 citations
Hit Papers
Peers
Comparison fields: 5 of 53
- Information Systems 317
- Signal Processing 98
- Artificial Intelligence 245
- Management Science and Operations Research 43
- Computer Vision and Pattern Recognition 65
Countries citing papers authored by W. Greiner
This map shows the geographic impact of W. Greiner'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 W. Greiner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Greiner more than expected).
Fields of papers citing papers by W. Greiner
This network shows the impact of papers produced by W. Greiner. 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 W. Greiner. The network helps show where W. Greiner may publish in the future.
Co-authors
The 25 scholars most cited alongside W. Greiner, 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 | Generating query substitutions Hit paper breakdown → | 2006 | 422 |
| 2 | 1991 | 47 | |
| 3 | 1993 | 27 | |
| 4 | Recall Systems: Effcient Learning and Use of Category Indices | 2007 | 10 |
| 5 | 1989 | 7 | |
| 6 | Learning When Concepts Abound | 2009 | 6 |
| 7 | 1982 | 5 | |
| 8 | 2003 | 5 | |
| 9 | 1992 | 4 | |
| 10 | 2006 | 2 | |
| 11 | Radar Observations of Tinatin Planitia: Goldstone 1988 Observations of Venus | 1990 | 1 |
| 12 | Digital transmission experiments over OTS repeaters | 1975 | 1 |
| 13 | 2002 | 1 | |
| 14 | 1993 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 1978 | 0 | |
| 17 | Limiting upconverter for space use | 1974 | 0 |
About W. Greiner
W. Greiner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Astronomy and Astrophysics and Media Technology, having authored 17 papers that have together received 539 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (3 papers), Image Processing Techniques and Applications (2 papers), Spacecraft Design and Technology (2 papers), Image and Object Detection Techniques (2 papers), Satellite Communication Systems (2 papers), Metallic Glasses and Amorphous Alloys (2 papers), Planetary Science and Exploration (2 papers) and Astro and Planetary Science (2 papers). The work is most often cited by research in Information Systems (317 citations), Signal Processing (98 citations), Artificial Intelligence (245 citations), Management Science and Operations Research (43 citations) and Computer Vision and Pattern Recognition (65 citations). W. Greiner has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Omid Madani, Benjamin Rey, Rosie Jones, Roland Würschum, H. SCHAEFER, O. Schneeweiss, Р. З. Валиев, M. Rapp, Wilfried Sigle and David Kempe. Their work appears in journals such as Science, Nanostructured Materials, Machine Vision and Applications, Journal of Machine Learning Research and Crystal Research and 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.