Jörg Schad
Impact in
- Information Systems top 1%
- Cloud Computing and Resource Management
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- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Caching and Content Delivery
- Advanced Database Systems and Queries
- Software System Performance and Reliability
Papers in
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- Advanced Data Storage Technologies 4
- Distributed systems and fault tolerance 3
- Advanced Database Systems and Queries 3
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- Cloud Computing and Resource Management 7
- Co-authors
- Jens Dittrich (6 shared papers)Jorge-Arnulfo Quiané-Ruiz (6 shared papers)Alekh Jindal (2 shared papers)Yağíz Kargín (1 shared paper)Vinay Setty (1 shared paper)Christoph Pinkel (2 shared papers)Stefan Richter (1 shared paper)Essam Mansour (3 shared papers)
- Journals
- Proceedings of the VLDB Endowment (3 papers)SHILAP Revista de lepidopterología (1 paper)
In The Last Decade
Jörg Schad
10 papers receiving 816 citations
Jörg Schad's Hit Papers
Peers
Comparison fields: 5 of 38
- Information Systems 761
- Computer Networks and Communications 773
- Information Systems and Management 91
- Signal Processing 91
- Computer Vision and Pattern Recognition 117
Countries citing papers authored by Jörg Schad
This map shows the geographic impact of Jörg Schad'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 Jörg Schad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg Schad more than expected).
Fields of papers citing papers by Jörg Schad
This network shows the impact of papers produced by Jörg Schad. 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 Jörg Schad. The network helps show where Jörg Schad may publish in the future.
Co-authors
The 10 scholars most cited alongside Jörg Schad, 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 | Runtime measurements in the cloud Hit paper breakdown → | 2010 | 493 |
| 2 | 2010 | 239 | |
| 3 | 2012 | 64 | |
| 4 | 2011 | 49 | |
| 5 | 2021 | 6 | |
| 6 | 2011 | 5 | |
| 7 | 2009 | 5 | |
| 8 | 2013 | 3 | |
| 9 | 2009 | 2 | |
| 10 | MyMIDP and MyMIDP-client: Direct access to MySQL databases from cell phones | 2009 | 2 |
About Jörg Schad
Jörg Schad is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 10 papers that have together received 868 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (7 papers), Advanced Data Storage Technologies (4 papers), Distributed systems and fault tolerance (3 papers), Advanced Database Systems and Queries (3 papers), Complex Network Analysis Techniques (1 paper), Data Management and Algorithms (1 paper), Semantic Web and Ontologies (1 paper) and Data Stream Mining Techniques (1 paper). The work is most often cited by research in Information Systems (761 citations), Computer Networks and Communications (773 citations), Information Systems and Management (91 citations), Signal Processing (91 citations) and Computer Vision and Pattern Recognition (117 citations). Jörg Schad has collaborated with scholars based in Germany, Qatar and Cambodia. Frequent co-authors include Jens Dittrich, Jorge-Arnulfo Quiané-Ruiz, Alekh Jindal, Yağíz Kargín, Vinay Setty, Christoph Pinkel, Stefan Richter, Essam Mansour, Hagen Höpfner and C. Woodward. Their work appears in journals such as Proceedings of the VLDB Endowment and SHILAP Revista de lepidopterología.
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.