Micheł Scholl
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Information Systems top 5%
- Management Information Systems top 5%
- Co-authors
- Vassilis ChristophidesDimitris PlexousakisGregory KarvounarakisSofia AlexakiLeonard KleinrockBernd AmannFrançois BancilhonPhilippe Richard
- Topics
- Advanced Database Systems and Queries (21 papers)Data Management and Algorithms (15 papers)Semantic Web and Ontologies (10 papers)
In The Last Decade
Micheł Scholl
30 papers receiving 552 citations
Peers
Comparison fields: 5 of 56
- Computer Networks and Communications 409
- Artificial Intelligence 361
- Signal Processing 207
- Information Systems 172
- Management Information Systems 87
Countries citing papers authored by Micheł Scholl
This map shows the geographic impact of Micheł Scholl'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 Micheł Scholl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Micheł Scholl more than expected).
Fields of papers citing papers by Micheł Scholl
This network shows the impact of papers produced by Micheł Scholl. 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 Micheł Scholl. The network helps show where Micheł Scholl may publish in the future.
Co-authorship network of co-authors of Micheł Scholl
This figure shows the co-authorship network connecting the top 25 collaborators of Micheł Scholl. A scholar is included among the top collaborators of Micheł Scholl 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 Micheł Scholl. Micheł Scholl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 4 | |
| 3 | Empowering learning objects: an experiment with the ganesha platform | 6 |
| 4 | 19 | |
| 5 | 6 | |
| 6 | Rewriting and Evaluating Tree Queries with XPath. | 2 |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | 51 | |
| 12 | Geographic applications: An experience with O 2 | 7 |
| 13 | Towards DBMSs for Supporting New Applications | 10 |
| 14 | VERSO: A Relational Backend Database Machine. | 15 |
| 15 | 78 | |
| 16 | On Line Processing of Compacted Relations | 35 |
| 17 | 0 | |
| 18 | 30 | |
| 19 | On Designing an I/O Processor for a Relational Data Base Machine. | 4 |
| 20 | Multiplexing techniques for data transmission over packet switched radio systems. | 24 |
About Micheł Scholl
Micheł Scholl is a scholar working on Signal Processing, Computer Networks and Communications and Geography, Planning and Development, having authored 33 papers that have together received 658 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (21 papers), Data Management and Algorithms (15 papers) and Semantic Web and Ontologies (10 papers). The work is most often cited by research in Signal Processing (207 citations), Computer Networks and Communications (409 citations) and Artificial Intelligence (361 citations). Micheł Scholl has collaborated with scholars based in France, Greece and Denmark. Frequent co-authors include Vassilis Christophides, Dimitris Plexousakis, Gregory Karvounarakis, Sofia Alexaki, Leonard Kleinrock, Bernd Amann, François Bancilhon, Philippe Richard, Christian S. Jensen and Philippe Rigaux. Their work appears in journals such as Operations Research, International Journal of Human-Computer Studies and ACM SIGMOD Record.
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.