Claris Castillo

681 total citations
13 papers, 265 citations indexed

About

Claris Castillo is a scholar working on Computer Networks and Communications, Information Systems and Information Systems and Management. According to data from OpenAlex, Claris Castillo has authored 13 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 11 papers in Information Systems and 4 papers in Information Systems and Management. Recurrent topics in Claris Castillo's work include Cloud Computing and Resource Management (11 papers), Distributed and Parallel Computing Systems (9 papers) and Parallel Computing and Optimization Techniques (4 papers). Claris Castillo is often cited by papers focused on Cloud Computing and Resource Management (11 papers), Distributed and Parallel Computing Systems (9 papers) and Parallel Computing and Optimization Techniques (4 papers). Claris Castillo collaborates with scholars based in United States and Poland. Claris Castillo's co-authors include Khaled Harfoush, George N. Rouskas, Małgorzata Steinder, Mike Spreitzer, Asser Tantawi, Navraj Chohan, Chandra Krintz, Fan Jiang, Ilya Baldin and Anirban Mandal and has published in prestigious journals such as The International Journal of High Performance Computing Applications, Proceedings - IEEE International Parallel and Distributed Processing Symposium and IEEE International Conference on Cloud Computing Technology and Science.

In The Last Decade

Claris Castillo

13 papers receiving 246 citations

Peers

Claris Castillo
Ozan Sonmez Netherlands
Jose M. Faleiro United States
Yadu Babuji United States
Alexandru Calotoiu Switzerland
Navraj Chohan United States
Murali Vilayannur United States
Eli M. Dow United States
Ozan Sonmez Netherlands
Claris Castillo
Citations per year, relative to Claris Castillo Claris Castillo (= 1×) peers Ozan Sonmez

Countries citing papers authored by Claris Castillo

Since Specialization
Citations

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

Fields of papers citing papers by Claris Castillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claris Castillo

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

All Works

13 of 13 papers shown
2.
Jiang, Fan, Claris Castillo, & Stanley C. Ahalt. (2018). Cachalot: A network-aware, cooperative cache network for geo-distributed, data-intensive applications. 1–9. 3 indexed citations
3.
Jiang, Fan, Claris Castillo, & Charles Schmitt. (2016). RADU: Bridging the divide between data and infrastructure management to support data-driven collaborations. 78. 370–377. 1 indexed citations
4.
Mandal, Anirban, Paul Ruth, Ilya Baldin, et al.. (2015). Adapting Scientific Workflows on Networked Clouds Using Proactive Introspection. 162–173. 8 indexed citations
5.
Jiang, Fan, Claris Castillo, Charles Schmitt, et al.. (2015). Enabling workflow repeatability with virtualization support. 1–10. 2 indexed citations
6.
Deelman, Ewa, Anirban Mandal, Brian Tierney, et al.. (2015). PANORAMA: An approach to performance modeling and diagnosis of extreme-scale workflows. The International Journal of High Performance Computing Applications. 31(1). 4–18. 21 indexed citations
7.
Mandal, Anirban, Paul Ruth, Ilya Baldin, et al.. (2013). Evaluating I/O aware network management for scientific workflows on networked clouds. 1–10. 6 indexed citations
8.
Castillo, Claris, Mike Spreitzer, & Małgorzata Steinder. (2011). Towards efficient resource management for data-analytic platforms. 73–80. 1 indexed citations
9.
Chohan, Navraj, Claris Castillo, Mike Spreitzer, et al.. (2010). See spot run: using spot instances for mapreduce workflows. IEEE International Conference on Cloud Computing Technology and Science. 7–7. 127 indexed citations
10.
Castillo, Claris, George N. Rouskas, & Khaled Harfoush. (2009). Resource co-allocation for large-scale distributed environments. 131–140. 10 indexed citations
11.
Rouskas, George N., Khaled Harfoush, & Claris Castillo. (2008). On the design of efficient resource allocation mechanisms for grids. 2 indexed citations
12.
Castillo, Claris, George N. Rouskas, & Khaled Harfoush. (2008). Efficient resource management using advance reservations for heterogeneous Grids. Proceedings - IEEE International Parallel and Distributed Processing Symposium. 1–12. 27 indexed citations
13.
Castillo, Claris, George N. Rouskas, & Khaled Harfoush. (2007). On the Design of Online Scheduling Algorithms for Advance Reservations and QoS in Grids. 1–10. 47 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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