Montse Nájar

981 citations
66 papers · 685 indexed · h-index 14
Topics
Indoor and Outdoor Localization Technologies (30 papers)Speech and Audio Processing (15 papers)Sparse and Compressive Sensing Techniques (13 papers)

In The Last Decade

Montse Nájar

60 papers receiving 644 citations

Peers

Montse Nájar
Comparison fields: 5 of 29
  • Electrical and Electronic Engineering 483
  • Signal Processing 176
  • Computational Mechanics 176
  • Biomedical Engineering 163
  • Aerospace Engineering 160
Replace Joon-Yong Lee with:
Joon-Yong Lee South Korea
Ali Noroozi Iran
Yanbin Zou China
M. Fattouche Canada
Kenneth W. K. Lui Hong Kong
Cecilia Carbonelli Germany
Nayef Alsindi United States
H. Suda Japan
Bardia Alavi United States
Shengli Zhou United States
Montse Nájar relative to Joon-Yong Lee South Korea Joon-Yong Lee's profile →
Citations per field
00.5×6.5×
Joon-Yong Lee · 1×
Citations per year

Countries citing papers authored by Montse Nájar

Since Specialization
Citations

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

Fields of papers citing papers by Montse Nájar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Montse Nájar

This figure shows the co-authorship network connecting the top 25 collaborators of Montse Nájar. A scholar is included among the top collaborators of Montse Nájar 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 Montse Nájar. Montse Nájar 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 0
3 0
4 0
5 1
6
Compressive spectrum sensing based on spectral shape feature detection
3
7
Double shrinkage correction in sample LMMSE estimation
1
8 4
9 1
10
Space-time-frequency candidate methods for spectrum sensing
2
11 30
12
Performance of a FilterBank MultiCarrier (FBMC) physical layer in the WiMAX context
10
13 4
14
Ultra-wideband testbed for 6.0–8.5 GHz ranging and low data rate communication
3
15
LOW COMPLEXITY TOA ESTIMATION FOR WIRELESS LOCATION
2
16 8
17 1
18 2
19 29
20
Self-reference spatial diversity processing for spread spectrum communications
1

About Montse Nájar

Montse Nájar is a scholar working on Signal Processing, Computational Mechanics and Computer Networks and Communications, having authored 66 papers that have together received 685 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (30 papers), Speech and Audio Processing (15 papers) and Sparse and Compressive Sensing Techniques (13 papers). The work is most often cited by research in Signal Processing (176 citations), Ocean Engineering (150 citations) and Computational Mechanics (176 citations). Montse Nájar has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include J. Vidal, Eva Lagunas, Mònica Navarro, Fauzia Ahmad, Moeness G. Amin, Luis Blanco, Antonio Pascual‐Iserte, Miquel Payaró, J.M. Espı́ and M.A. Lagunas. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Signal Processing and IEEE Transactions on Wireless Communications.

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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