Ianire Taboada

587 citations
27 papers · 339 · h-index 10

Impact in

Papers in

Ianire Taboada

26 papers receiving 322 citations

Peers

Ianire Taboada
Comparison fields: 5 of 59
  • Computer Networks and Communications 160
  • Management Information Systems 41
  • Computer Vision and Pattern Recognition 85
  • Health Informatics 5
  • Industrial and Manufacturing Engineering 36
Replace Navroop Kaur with:
Navroop Kaur India
Kaiyu Wan China
Sebastian Käbisch Germany
Douglas Dyllon Jerônimo de Macedo Brazil
Yann Bocchi Switzerland
Panagiotis Gouvas Greece
Jiachen Hou China
Pekka Pääkkönen Finland
Antônio Espósito Italy
Holger Ziekow Germany
Ianire Taboada relative to Navroop Kaur India Navroop Kaur's profile →
Citations per field
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Navroop Kaur · 1×
Citations per year

Countries citing papers authored by Ianire Taboada

Since Specialization
Citations

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

Fields of papers citing papers by Ianire Taboada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ianire Taboada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ianire Taboada Line = papers co-authored together Ianire Taboada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202370
2 202058
3 200947
4 201536
5 201714
6 201713
7 201313
8 201413
9 201410
10 20119
11 20168
12 20206
13 20176
14 20126
15 20135
16 20194
17 20114
18 20173
19 20152
20 20142

About Ianire Taboada

Ianire Taboada is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Sociology and Political Science and Signal Processing, having authored 27 papers that have together received 339 indexed citations. Recurring topics across this work include Advanced Wireless Network Optimization (11 papers), Advanced MIMO Systems Optimization (11 papers), Image and Video Quality Assessment (8 papers), Multimedia Communication and Technology (7 papers), Wireless Communication Networks Research (5 papers), Video Coding and Compression Technologies (4 papers), Software-Defined Networks and 5G (3 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Computer Networks and Communications (160 citations), Management Information Systems (41 citations), Computer Vision and Pattern Recognition (85 citations), Health Informatics (5 citations) and Industrial and Manufacturing Engineering (36 citations). Ianire Taboada has collaborated with scholars based in Spain, United Kingdom and Australia. Frequent co-authors include Fidel Liberal, Himanshu Shee, José Oscar Fajardo, Tharaka de Vass, Nerea Toledo, Bego Blanco, Peter Jacko, Samuli Aalto, Urtzi Ayesta and Pasi Lassila. Their work appears in journals such as Performance Evaluation, Transactions on Emerging Telecommunications Technologies, Computer Communications, Applied Sciences and Abstract and Applied Analysis.

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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