Kris Bubendorfer
- Information Systems top 0.5%
- Cloud Computing and Resource Management 23
- Blockchain Technology Applications and Security 9
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- Distributed and Parallel Computing Systems 23
- Peer-to-Peer Network Technologies 12
- Advanced Data Storage Technologies 6
- Caching and Content Delivery 5
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- Scientific Computing and Data Management 16
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- Cryptography and Data Security 6
Kris Bubendorfer
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 66
- Information Systems 807
- Computer Networks and Communications 807
- Information Systems and Management 189
- Computer Science Applications 73
- Management Science and Operations Research 85
Countries citing papers authored by Kris Bubendorfer
This map shows the geographic impact of Kris Bubendorfer'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 Kris Bubendorfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kris Bubendorfer more than expected).
Fields of papers citing papers by Kris Bubendorfer
This network shows the impact of papers produced by Kris Bubendorfer. 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 Kris Bubendorfer. The network helps show where Kris Bubendorfer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kris Bubendorfer, 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 | 2021 | 0 | |
| 2 | 2018 | 119 | |
| 3 | 2018 | 13 | |
| 4 | 2017 | 63 | |
| 5 | 2016 | 15 | |
| 6 | 2015 | 5 | |
| 7 | 2015 | 20 | |
| 8 | 2015 | 6 | |
| 9 | Development and evaluation of a secure, privacy preserving combinatorial auction | 2011 | 3 |
| 10 | 2011 | 0 | |
| 11 | 2011 | 12 | |
| 12 | Grid resource allocation: allocation mechanisms and utilisation patterns | 2008 | 12 |
| 13 | 2008 | 4 | |
| 14 | 2007 | 16 | |
| 15 | 2006 | 5 | |
| 16 | 2006 | 12 | |
| 17 | Improving resource utilisation in market oriented grid management and scheduling | 2006 | 8 |
| 18 | 2006 | 14 | |
| 19 | Fine grained resource reservation and management in grid economies | 2005 | 12 |
| 20 | Auction based resource negotiation in NOMAD | 2005 | 1 |
About Kris Bubendorfer
Kris Bubendorfer is a scholar working on Information Systems and Management, Computer Networks and Communications and Information Systems, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (23 papers), Cloud Computing and Resource Management (23 papers), Scientific Computing and Data Management (16 papers), Peer-to-Peer Network Technologies (12 papers), Blockchain Technology Applications and Security (9 papers), Advanced Data Storage Technologies (6 papers), Cryptography and Data Security (6 papers) and Caching and Content Delivery (5 papers). The work is most often cited by research in Information Systems (807 citations), Computer Networks and Communications (807 citations) and Information Systems and Management (189 citations). Kris Bubendorfer has collaborated with scholars based in New Zealand, United States and Germany. Frequent co-authors include Kyle Chard, Bryan Ng, Simon Caton, Omer Rana, Ryan Chard, Ravi Madduri, Ian Foster, Rajkumar Buyya, Peter Komisarczuk and Christian Haas. Their work appears in journals such as Future Generation Computer Systems, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Services Computing, IEEE Cloud Computing and IEEE Transactions on Emerging Topics in Computing.
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.