Christian Vecchiola

2.4k total citations
24 papers, 836 citations indexed

About

Christian Vecchiola is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Christian Vecchiola has authored 24 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 15 papers in Information Systems and 10 papers in Artificial Intelligence. Recurrent topics in Christian Vecchiola's work include Distributed and Parallel Computing Systems (10 papers), Cloud Computing and Resource Management (9 papers) and Multi-Agent Systems and Negotiation (6 papers). Christian Vecchiola is often cited by papers focused on Distributed and Parallel Computing Systems (10 papers), Cloud Computing and Resource Management (9 papers) and Multi-Agent Systems and Negotiation (6 papers). Christian Vecchiola collaborates with scholars based in Australia, Italy and China. Christian Vecchiola's co-authors include Rajkumar Buyya, Rodrigo N. Calheiros, Dileban Karunamoorthy, S. Thamarai Selvi, Chao Jin, Adel N. Toosi, Saurabh Garg, Yining Hu, Michael Kirley and Petr Novotny and has published in prestigious journals such as Future Generation Computer Systems, IBM Journal of Research and Development and Journal of Parallel and Distributed Computing.

In The Last Decade

Christian Vecchiola

22 papers receiving 777 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christian Vecchiola Australia 10 685 576 154 52 47 24 836
Adam Barker United Kingdom 15 535 0.8× 533 0.9× 134 0.9× 46 0.9× 78 1.7× 56 721
Nikolas Herbst Germany 19 903 1.3× 916 1.6× 196 1.3× 35 0.7× 54 1.1× 55 1.1k
Sivadon Chaisiri Singapore 11 763 1.1× 751 1.3× 99 0.6× 29 0.6× 37 0.8× 26 926
David Breitgand Israel 15 979 1.4× 1.1k 1.8× 163 1.1× 45 0.9× 58 1.2× 47 1.3k
Moreno Marzolla Italy 15 359 0.5× 622 1.1× 190 1.2× 72 1.4× 27 0.6× 55 750
Benjamin Satzger Austria 14 373 0.5× 391 0.7× 127 0.8× 41 0.8× 54 1.1× 37 610
Rafael Moreno‐Vozmediano Spain 14 971 1.4× 1.0k 1.8× 95 0.6× 33 0.6× 45 1.0× 35 1.2k
Marı́a S. Pérez Spain 15 312 0.5× 370 0.6× 198 1.3× 32 0.6× 27 0.6× 61 665
Víctor Muntés-Mulero Spain 13 322 0.5× 369 0.6× 194 1.3× 31 0.6× 66 1.4× 40 645
Waldemar Hummer Austria 18 666 1.0× 579 1.0× 177 1.1× 17 0.3× 104 2.2× 76 868

Countries citing papers authored by Christian Vecchiola

Since Specialization
Citations

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

Fields of papers citing papers by Christian Vecchiola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian Vecchiola. 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 Christian Vecchiola. The network helps show where Christian Vecchiola may publish in the future.

Co-authorship network of co-authors of Christian Vecchiola

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Vecchiola. A scholar is included among the top collaborators of Christian Vecchiola 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 Christian Vecchiola. Christian Vecchiola 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.
Vecchiola, Christian, et al.. (2013). Global technology trends: perspectives from IBM Research Australia on resilient systems. International Journal of Computational Science and Engineering. 8(3). 269–269. 4 indexed citations
2.
Vecchiola, Christian, et al.. (2013). Engineering resilient information systems for emergency management. IBM Journal of Research and Development. 57(5). 2:1–2:12. 6 indexed citations
3.
Vecchiola, Christian, et al.. (2012). Task granularity policies for deploying bag-of-task applications on global grids. Future Generation Computer Systems. 29(1). 170–181. 23 indexed citations
4.
Calheiros, Rodrigo N., Adel N. Toosi, Christian Vecchiola, & Rajkumar Buyya. (2012). A coordinator for scaling elastic applications across multiple clouds. Future Generation Computer Systems. 28(8). 1350–1362. 72 indexed citations
5.
Garg, Saurabh, Christian Vecchiola, & Rajkumar Buyya. (2011). Mandi: a market exchange for trading utility and cloud computing services. The Journal of Supercomputing. 64(3). 1153–1174. 43 indexed citations
6.
Vecchiola, Christian, Rodrigo N. Calheiros, Dileban Karunamoorthy, & Rajkumar Buyya. (2011). Deadline-driven provisioning of resources for scientific applications in hybrid clouds with Aneka. Future Generation Computer Systems. 28(1). 58–65. 122 indexed citations
7.
Netto, Marco A. S., Christian Vecchiola, Michael Kirley, Carlos A. Varela, & Rajkumar Buyya. (2011). Use of run time predictions for automatic co-allocation of multi-cluster resources for iterative parallel applications. Journal of Parallel and Distributed Computing. 71(10). 1388–1399. 9 indexed citations
8.
Calheiros, Rodrigo N., Christian Vecchiola, Dileban Karunamoorthy, & Rajkumar Buyya. (2011). The Aneka platform and QoS-driven resource provisioning for elastic applications on hybrid Clouds. Future Generation Computer Systems. 28(6). 861–870. 109 indexed citations
9.
Vecchiola, Christian, et al.. (2010). Managing Peak Loads by Leasing Cloud Infrastructure Services from a Spot Market. 180–188. 67 indexed citations
10.
Vecchiola, Christian, Mani Abedini, Michael Kirley, Xingchen Chu, & Rajkumar Buyya. (2010). Gene Expression Classification with a Novel Coevolutionary Based Learning Classifier System on Public Clouds. 5866. 92–97. 8 indexed citations
11.
Vecchiola, Christian, Michael Kirley, & Rajkumar Buyya. (2009). Multi-Objective Problem Solving With Offspring on Enterprise Clouds. arXiv (Cornell University). 7 indexed citations
12.
Vecchiola, Christian, et al.. (2009). Agentservice: A Framework for Distributed Multiagent System Development. International Journal of Computers and Applications. 31(3). 204–210. 3 indexed citations
13.
Jin, Chao, Christian Vecchiola, & Rajkumar Buyya. (2008). MRPGA: An Extension of MapReduce for Parallelizing Genetic Algorithms. 214–221. 87 indexed citations
14.
Vecchiola, Christian, et al.. (2008). AgentService: a framework to develop distributed multiagent systems. Minerva Access (University of Melbourne). 2(3). 290–290. 7 indexed citations
15.
Anghinolfi, Davide, et al.. (2007). A Swarm Intelligence Method Applied to Manufacturing Scheduling.. CINECA IRIS Institutial Research Information System (University of Genoa). 65–70. 2 indexed citations
16.
Vecchiola, Christian, et al.. (2007). Image Filtering on .NET-based Desktop Grids. 582–592. 2 indexed citations
17.
Vecchiola, Christian, et al.. (2006). Integrating Ontology Support within AgentService.. 1 indexed citations
18.
Vecchiola, Christian, et al.. (2005). A multiuser groupware calendar system based on agent tools and technology. 23. 144–151. 3 indexed citations
19.
Vecchiola, Christian, Mauro Coccoli, & A. Boccalatte. (2004). Agent programming extensions relying on a component-based platform. ii. 24–31.
20.
Vecchiola, Christian, et al.. (2001). A Knowledge Modeling Tool for Rule-Based Agents.. 24–29. 1 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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2026