Raúl Montoliu

2.3k citations
61 papers · 1.6k indexed · 1 hit paper · h-index 19
Topics
Indoor and Outdoor Localization Technologies (32 papers)Context-Aware Activity Recognition Systems (16 papers)Speech and Audio Processing (9 papers)
Partner nations
SpainPortugalItaly

In The Last Decade

Raúl Montoliu

58 papers receiving 1.6k citations

Hit Papers

UJIIndoorLoc: A new multi-building and multi-floor databa...20142026201820222014100200300400

Peers

Raúl Montoliu
Comparison fields: 5 of 104
  • Electrical and Electronic Engineering 1.1k
  • Signal Processing 425
  • Ocean Engineering 387
  • Computer Vision and Pattern Recognition 311
  • Computer Networks and Communications 304
Replace Rijurekha Sen with:
Rijurekha Sen India
Brian Ferris United States
Robert Harle United Kingdom
Chaocan Xiang China
Óscar Belmonte Spain
Xianping Tao China
Joseph Kee‐Yin Ng Hong Kong
Stephan Sigg Finland
Fan Ye United States
Hongkai Wen United Kingdom
Raúl Montoliu relative to Rijurekha Sen India Rijurekha Sen's profile →
Citations per field
00.5×3.4×
Rijurekha Sen · 1×
Citations per year

Countries citing papers authored by Raúl Montoliu

Since Specialization
Citations

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

Fields of papers citing papers by Raúl Montoliu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raúl Montoliu

This figure shows the co-authorship network connecting the top 25 collaborators of Raúl Montoliu. A scholar is included among the top collaborators of Raúl Montoliu 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 Raúl Montoliu. Raúl Montoliu 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 0
2 1
3 1
4 0
5 2
6 6
7 4
8 5
9 7
10 4
11 6
12 34
13 8
14 2
15 64
16 58
17 1
18 38
19 23
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UJIIndoorLoc: A new multi-building and multi-floor database for WLAN fingerprint-based indoor localization problemsbreakdown →
400

About Raúl Montoliu

Raúl Montoliu is a scholar working on Computer Vision and Pattern Recognition, Transportation and Signal Processing, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (32 papers), Context-Aware Activity Recognition Systems (16 papers) and Speech and Audio Processing (9 papers). The work is most often cited by research in Signal Processing (425 citations), Transportation (213 citations) and Ocean Engineering (387 citations). Raúl Montoliu has collaborated with scholars based in Spain, Portugal and Italy. Frequent co-authors include Joaquín Torres-Sospedra, Óscar Belmonte, Joaquı́n Huerta, Daniel Gática-Pérez, Sergio Trilles, Mauri Benedito-Bordonau, Adolfo Martínez-Usó, Emilio Sansano‐Sansano, Jan Blom and Germán Martín Mendoza-Silva. Their work appears in journals such as Expert Systems with Applications, Sensors and Neurocomputing.

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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