Le Gruenwald
- Artificial Intelligence top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Michael GoebelNan JiangJianting ZhangJorge BernardinoWenyan WuMichael GertzHongmian GongSimin You
- Topics
- Data Management and Algorithms (6 papers)Data Mining Algorithms and Applications (5 papers)Data Stream Mining Techniques (4 papers)
- Journals
- Computers & GeosciencesApplied SciencesJournal of King Saud University - Computer and Information Sciences
- Partner nations
- United StatesPortugalFrance
In The Last Decade
Le Gruenwald
24 papers receiving 405 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 228
- Information Systems 203
- Signal Processing 110
- Computer Networks and Communications 100
- Computational Theory and Mathematics 82
Countries citing papers authored by Le Gruenwald
This map shows the geographic impact of Le Gruenwald'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 Le Gruenwald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Gruenwald more than expected).
Fields of papers citing papers by Le Gruenwald
This network shows the impact of papers produced by Le Gruenwald. 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 Le Gruenwald. The network helps show where Le Gruenwald may publish in the future.
Co-authorship network of co-authors of Le Gruenwald
This figure shows the co-authorship network connecting the top 25 collaborators of Le Gruenwald. A scholar is included among the top collaborators of Le Gruenwald based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Le Gruenwald. Le Gruenwald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 32 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 15 | |
| 11 | 15 | |
| 12 | 14 | |
| 13 | 9 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 74 | |
| 17 | 2 | |
| 18 | A Prototype Content-Based Retrieval System that Uses Virtual Images to Save Space | 1 |
| 19 | 9 | |
| 20 | 217 |
About Le Gruenwald
Le Gruenwald is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 24 papers that have together received 456 indexed citations. Recurring topics across this work include Data Management and Algorithms (6 papers), Data Mining Algorithms and Applications (5 papers) and Data Stream Mining Techniques (4 papers). The work is most often cited by research in Signal Processing (110 citations), Information Systems (203 citations) and Artificial Intelligence (228 citations). Le Gruenwald has collaborated with scholars based in United States, Portugal and France. Frequent co-authors include Michael Goebel, Nan Jiang, Jianting Zhang, Jorge Bernardino, Wenyan Wu, Michael Gertz, Jianting Zhang, Hongmian Gong, Simin You and Camille Kamga. Their work appears in journals such as Computers & Geosciences, Applied Sciences and Journal of King Saud University - Computer and Information Sciences.
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.