Robbert van Renesse

11.7k total citations · 1 hit paper
166 papers, 6.0k citations indexed

About

Robbert van Renesse is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Robbert van Renesse has authored 166 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Computer Networks and Communications, 44 papers in Information Systems and 37 papers in Artificial Intelligence. Recurrent topics in Robbert van Renesse's work include Distributed systems and fault tolerance (91 papers), Peer-to-Peer Network Technologies (33 papers) and Distributed and Parallel Computing Systems (26 papers). Robbert van Renesse is often cited by papers focused on Distributed systems and fault tolerance (91 papers), Peer-to-Peer Network Technologies (33 papers) and Distributed and Parallel Computing Systems (26 papers). Robbert van Renesse collaborates with scholars based in United States, Netherlands and Norway. Robbert van Renesse's co-authors include Ken Birman, Andrew S. Tanenbaum, Fred B. Schneider, Werner Vogels, Lidong Zhou, Silvano Maffeis, R. van Renesse, Hans van Staveren, Sape J. Mullender and Roy Friedman and has published in prestigious journals such as Proceedings of the IEEE, Communications of the ACM and ACM Computing Surveys.

In The Last Decade

Robbert van Renesse

157 papers receiving 5.1k citations

Hit Papers

Distributed operating sys... 1985 2026 1998 2012 1985 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robbert van Renesse 5.4k 1.6k 1.1k 1.1k 399 166 6.0k
Darrell D. E. Long 5.0k 0.9× 2.1k 1.3× 871 0.8× 1.0k 0.9× 356 0.9× 212 5.7k
David R. Cheriton 6.1k 1.1× 1.1k 0.7× 943 0.9× 2.0k 1.9× 857 2.1× 156 7.0k
Rachid Guerraoui 8.2k 1.5× 1.8k 1.1× 2.0k 1.8× 2.0k 1.8× 566 1.4× 402 9.5k
Pascal Felber 4.9k 0.9× 1.5k 0.9× 1.0k 0.9× 1.2k 1.1× 485 1.2× 195 5.7k
Andrew Birrell 4.7k 0.9× 2.4k 1.4× 1.0k 0.9× 1.6k 1.4× 369 0.9× 57 5.5k
Ken Birman 7.5k 1.4× 1.8k 1.1× 1.1k 1.0× 1.6k 1.4× 750 1.9× 232 8.5k
Patrick Eugster 4.0k 0.7× 1.2k 0.7× 861 0.8× 549 0.5× 363 0.9× 170 4.7k
Gerald J. Popek 3.5k 0.7× 1.2k 0.7× 1.1k 1.0× 1.3k 1.2× 233 0.6× 100 4.3k
P. M. Melliar‐Smith 3.6k 0.7× 869 0.5× 755 0.7× 1.1k 1.0× 456 1.1× 180 4.3k
Yu‐Kwong Kwok 3.7k 0.7× 1.6k 1.0× 435 0.4× 1.9k 1.8× 444 1.1× 162 4.3k

Countries citing papers authored by Robbert van Renesse

Since Specialization
Citations

This map shows the geographic impact of Robbert van Renesse'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 Robbert van Renesse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robbert van Renesse more than expected).

Fields of papers citing papers by Robbert van Renesse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robbert van Renesse. 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 Robbert van Renesse. The network helps show where Robbert van Renesse may publish in the future.

Co-authorship network of co-authors of Robbert van Renesse

This figure shows the co-authorship network connecting the top 25 collaborators of Robbert van Renesse. A scholar is included among the top collaborators of Robbert van Renesse 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 Robbert van Renesse. Robbert van Renesse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chu, David, et al.. (2020). Scalog: Seamless Reconfiguration and Total Order in a Scalable Shared Log. Networked Systems Design and Implementation. 325–338. 7 indexed citations
2.
Zhang, Fan, Ittay Eyal, Robert Escriva, Ari Juels, & Robbert van Renesse. (2017). REM: Resource-Efficient Mining for Blockchains.. IACR Cryptology ePrint Archive. 2017. 1427–1444. 43 indexed citations
3.
Renesse, Robbert van, et al.. (2016). Ovid: A Software-Defined Distributed Systems Framework to support Consistency and Change.. IEEE Data(base) Engineering Bulletin. 39. 65–80.
4.
Shen, Zhiming, et al.. (2016). Smart spot instances for the supercloud. 1–6. 19 indexed citations
5.
Schiper, Nicolas, Vincent Rahli, Robbert van Renesse, Mark Bickford, & Robert L. Constable. (2012). ShadowDB: a replicated database on a synthesized consensus core. Open Repository and Bibliography (University of Luxembourg). 19(11). 7–7. 3 indexed citations
6.
Constable, Robert L., Mark Bickford, & Robbert van Renesse. (2011). Investigating correct-by-construction attack-tolerant systems. Journal of Clinical Gastroenterology. 49(5). 429–37. 5 indexed citations
7.
Leitão, João, Robbert van Renesse, & Luı́s Rodrigues. (2010). Balancing gossip exchanges in networks with firewalls. 7–7. 12 indexed citations
8.
Haridasan, Maya & Robbert van Renesse. (2008). Gossip-based distribution estimation in peer-to-peer networks. 13–13. 27 indexed citations
9.
Renesse, Robbert van, et al.. (2008). Nysiad: practical protocol transformation to tolerate Byzantine failures. Networked Systems Design and Implementation. 175–188. 23 indexed citations
10.
Castro, Miguel & Robbert van Renesse. (2005). Proceedings of the 4th international conference on Peer-to-Peer Systems. 20 indexed citations
11.
Barr, Rimon, Zygmunt J. Haas, & Robbert van Renesse. (2005). JiST: an efficient approach to simulation using virtual machines: Research Articles. Software Practice and Experience. 35(6). 539–576. 28 indexed citations
12.
Renesse, Robbert van & Fred B. Schneider. (2004). Chain replication for supporting high throughput and availability. Operating Systems Design and Implementation. 7–7. 254 indexed citations
13.
Gupta, Indranil, et al.. (2003). Kelips: Building an efficient and stable P2P DHT through increased memory and background overhead. Lecture notes in computer science. 2735. 160–169. 2 indexed citations
14.
Johansen, Dag, Robbert van Renesse, & Fred B. Schneider. (1999). Operating system support for mobile agents: position paper for 5th IEEE Workshop on Hot Topics in Operating Systems. 557–563. 3 indexed citations
15.
Johansen, Dag, Fred B. Schneider, & Robbert van Renesse. (1999). What TACOMA taught us. 564–566. 11 indexed citations
16.
Johansen, Dag, Robbert van Renesse, & Fred B. Schneider. (1999). Operating system support for mobile agents. eCommons (Cornell University). 557–563. 4 indexed citations
17.
Tanenbaum, Andrew S., et al.. (1991). Experience with the Amoeba distributed operating system. University of Twente Research Information. 33(2). 86–105. 2 indexed citations
18.
Tanenbaum, Andrew S. & Robbert van Renesse. (1987). Reliability Issues in Distributed Operating Systems. Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam). 3–11. 5 indexed citations
19.
Bal, Henri E., Robbert van Renesse, & Andrew S. Tanenbaum. (1987). Implementing Distributed Algorithms using Remote Procedure Call. 499–505. 21 indexed citations
20.
Tanenbaum, Andrew S., Sape J. Mullender, & Robbert van Renesse. (1986). Using Sparse Capabilities in a Distributed Operating System. Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam). 558–563. 108 indexed citations

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.

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