Urtzi Ayesta

76 papers receiving 875 citations

Peers

Urtzi Ayesta
Comparison fields: 5 of 47
  • Computer Networks and Communications 709
  • Electrical and Electronic Engineering 519
  • Management Information Systems 479
  • Management Science and Operations Research 161
  • Information Systems 89
Replace Paul J. Kuehn with:
Paul J. Kuehn Germany
R. Núñez Queija Netherlands
Demetres D. Kouvatsos United Kingdom
Ulrich Herzog Germany
Zvi Rosberg Israel
J.W. Wong Canada
José Niño‐Mora Spain
S. L. Hantler United States
Siva Theja Maguluri United States
H. Richard Gail United States
Urtzi Ayesta relative to Paul J. Kuehn Germany Paul J. Kuehn's profile →
Citations per field
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Paul J. Kuehn · 1×
Citations per year

Countries citing papers authored by Urtzi Ayesta

Since Specialization
Citations

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

Fields of papers citing papers by Urtzi Ayesta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Urtzi Ayesta

This figure shows the co-authorship network connecting the top 25 collaborators of Urtzi Ayesta. A scholar is included among the top collaborators of Urtzi Ayesta 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 Urtzi Ayesta. Urtzi Ayesta 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
#WorkIndexed citations
1 3
2 1
3 9
4 2
5 6
6 19
7 14
8 6
9
Optimal policy for multi-class scheduling in a single server queue
8
10
Heavy-traffic analysis of a multiple-phase network with discriminatory processor sharing
1
11 1
12 48
13
Monotonicity properties for multi-class queueing systems
1
14 3
15
Beyond processor sharing
1
16 4
17 2
18 14
19
On the non-optimality of the FB discipline within the service time distribution class IMRL
1
20
Closed on-line bin packing
4

About Urtzi Ayesta

Urtzi Ayesta is a scholar working on Management Information Systems, Computer Networks and Communications and Management Science and Operations Research, having authored 80 papers that have together received 918 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (54 papers), Advanced Wireless Network Optimization (39 papers) and Network Traffic and Congestion Control (36 papers). The work is most often cited by research in Management Information Systems (479 citations), Computer Networks and Communications (709 citations) and Management Science and Operations Research (161 citations). Urtzi Ayesta has collaborated with scholars based in France, Spain and Netherlands. Frequent co-authors include Samuli Aalto, Konstantin Avrachenkov, Peter Jacko, Patrick Brown, Rhonda Righter, Eitan Altman, R. Núñez Queija, Eitan Altman, Sem Borst and Matthieu Jonckheere. Their work appears in journals such as Operations Research, IEEE/ACM Transactions on Networking and Computer Networks.

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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