H.-J. Schek
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
-
- Advanced Database Systems and Queries
- Distributed systems and fault tolerance
- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
Papers in
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- Advanced Database Systems and Queries 14
- Advanced Data Storage Technologies 5
- Distributed systems and fault tolerance 2
- Distributed and Parallel Computing Systems 1
-
- Data Management and Algorithms 10
- Co-authors
- Marc H. Scholl (5 shared papers)Gerhard Weikum (3 shared papers)Catriel Beeri (1 shared paper)Laura M. Haas (1 shared paper)Peter Schwarz (1 shared paper)Paul F. Wilms (1 shared paper)Stefan Deßloch (1 shared paper)Theo Härder (1 shared paper)
- Journals
- Lecture notes in computer science (2 papers)Informatik aktuell (2 papers)International ACM SIGIR Conference on Research and Development in Information Retrieval (2 papers)Informatik-Fachberichte (2 papers)Elsevier eBooks (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
H.-J. Schek
14 papers receiving 292 citations
Peers
Comparison fields: 5 of 27
- Signal Processing 184
- Computer Networks and Communications 319
- Artificial Intelligence 137
- Information Systems 55
- Geography, Planning and Development 12
Countries citing papers authored by H.-J. Schek
This map shows the geographic impact of H.-J. Schek'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 H.-J. Schek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H.-J. Schek more than expected).
Fields of papers citing papers by H.-J. Schek
This network shows the impact of papers produced by H.-J. Schek. 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 H.-J. Schek. The network helps show where H.-J. Schek may publish in the future.
Co-authors
The 9 scholars most cited alongside H.-J. Schek, 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 | 1987 | 98 | |
| 2 | 1988 | 54 | |
| 3 | 1988 | 41 | |
| 4 | 1982 | 33 | |
| 5 | A storage system for complex objects | 1986 | 31 |
| 6 | 1983 | 28 | |
| 7 | 1987 | 18 | |
| 8 | 1980 | 15 | |
| 9 | 1984 | 5 | |
| 10 | 1986 | 5 | |
| 11 | 1992 | 2 | |
| 12 | 1991 | 2 | |
| 13 | 1992 | 2 | |
| 14 | 1992 | 2 | |
| 15 | 1991 | 1 |
About H.-J. Schek
H.-J. Schek is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Management Information Systems and Hardware and Architecture, having authored 15 papers that have together received 337 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (14 papers), Data Management and Algorithms (10 papers), Advanced Data Storage Technologies (5 papers), Semantic Web and Ontologies (5 papers), Algorithms and Data Compression (3 papers), Distributed systems and fault tolerance (2 papers), Business Process Modeling and Analysis (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Signal Processing (184 citations), Computer Networks and Communications (319 citations), Artificial Intelligence (137 citations), Information Systems (55 citations) and Geography, Planning and Development (12 citations). H.-J. Schek has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Marc H. Scholl, Gerhard Weikum, Catriel Beeri, Laura M. Haas, Peter Schwarz, Paul F. Wilms, Stefan Deßloch, Theo Härder and Nelson Mendonça Mattos. Their work appears in journals such as Lecture notes in computer science, Informatik aktuell, International ACM SIGIR Conference on Research and Development in Information Retrieval, Informatik-Fachberichte and Elsevier eBooks.
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.