Guido Urdaneta

779 total citations
11 papers, 514 citations indexed

About

Guido Urdaneta is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Guido Urdaneta has authored 11 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 3 papers in Information Systems and 3 papers in Artificial Intelligence. Recurrent topics in Guido Urdaneta's work include Peer-to-Peer Network Technologies (10 papers), Caching and Content Delivery (7 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). Guido Urdaneta is often cited by papers focused on Peer-to-Peer Network Technologies (10 papers), Caching and Content Delivery (7 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). Guido Urdaneta collaborates with scholars based in Netherlands, Norway and Sweden. Guido Urdaneta's co-authors include Maarten van Steen, Guillaume Pierre, Gunnar Kreitz, Roman Vitenberg, Vinay Setty, Dick Epema, Boxun Zhang, Johan Pouwelse and Néstor V. Queipo and has published in prestigious journals such as ACM Computing Surveys, Computer Networks and Computers in Industry.

In The Last Decade

Guido Urdaneta

10 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guido Urdaneta Netherlands	9	434	292	86	37	37	11	514
Vijay K. Gurbani United States	13	390 0.9×	223 0.8×	110 1.3×	21 0.6×	162 4.4×	83	541
Amitanand S. Aiyer United States	9	564 1.3×	372 1.3×	125 1.5×	36 1.0×	11 0.3×	10	663
Nuno Preguiça Portugal	13	694 1.6×	350 1.2×	117 1.4×	19 0.5×	23 0.6×	64	787
Marco Guazzone Italy	12	203 0.5×	257 0.9×	49 0.6×	97 2.6×	24 0.6×	28	357
Rajat Mukherjee United States	8	359 0.8×	144 0.5×	61 0.7×	14 0.4×	88 2.4×	11	450
Qianni Deng China	7	238 0.5×	232 0.8×	50 0.6×	8 0.2×	17 0.5×	26	315
Damiano Carra Italy	14	373 0.9×	150 0.5×	39 0.5×	28 0.8×	24 0.6×	48	443
Shicong Meng United States	12	400 0.9×	356 1.2×	114 1.3×	32 0.9×	23 0.6×	29	498
Jianhai Chen China	13	288 0.7×	404 1.4×	177 2.1×	65 1.8×	28 0.8×	36	545
Maheswaran Sathiamoorthy United States	8	548 1.3×	259 0.9×	219 2.5×	5 0.1×	53 1.4×	16	763

Countries citing papers authored by Guido Urdaneta

Since Specialization

Citations

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

Fields of papers citing papers by Guido Urdaneta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guido Urdaneta

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Setty, Vinay, Gunnar Kreitz, Guido Urdaneta, Roman Vitenberg, & Maarten van Steen. (2014). Maximizing the number of satisfied subscribers in pub/sub systems under capacity constraints. VU Research Portal. 2580–2588. 10 indexed citations

2.

Setty, Vinay, Roman Vitenberg, Gunnar Kreitz, Guido Urdaneta, & Maarten van Steen. (2014). Cost-Effective Resource Allocation for Deploying Pub/Sub on Cloud. 555–566. 19 indexed citations

3.

Zhang, Boxun, et al.. (2013). Understanding user behavior in Spotify. TU/e Research Portal. 220–224. 48 indexed citations

4.

Setty, Vinay, et al.. (2013). The hidden pub/sub of spotify. 231–240. 24 indexed citations

5.

Urdaneta, Guido, et al.. (2012). Robust Overlays for Privacy-Preserving Data Dissemination over a Social Graph. 3. 234–244. 8 indexed citations

6.

Urdaneta, Guido, et al.. (2012). On leveraging social relationships for decentralized privacy-preserving group communication. 1–6.

7.

Urdaneta, Guido, Guillaume Pierre, & Maarten van Steen. (2011). A survey of DHT security techniques. ACM Computing Surveys. 43(2). 1–49. 106 indexed citations

8.

Urdaneta, Guido, Guillaume Pierre, & Maarten van Steen. (2009). Wikipedia workload analysis for decentralized hosting. Computer Networks. 53(11). 1830–1845. 263 indexed citations

9.

Urdaneta, Guido, Guillaume Pierre, & Maarten van Steen. (2007). Wikipedia Workload Analysis. 8 indexed citations

10.

Urdaneta, Guido, Guillaume Pierre, & Maarten van Steen. (2007). A DECENTRALIZED WIKI ENGINE FOR COLLABORATIVE WIKIPEDIA HOSTING. 156–163. 19 indexed citations

11.

Urdaneta, Guido, et al.. (2006). A reference software architecture for the development of industrial automation high-level applications in the petroleum industry. Computers in Industry. 58(1). 35–45. 9 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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