Alexis Quesada-Arencibia

609 citations
44 papers · 320 · h-index 11

Impact in

    • Transportation Planning and Optimization
    • Human Mobility and Location-Based Analysis
    • Traffic Prediction and Management Techniques
    • Smart Parking Systems Research

Papers in

Alexis Quesada-Arencibia

42 papers receiving 316 citations

Peers

Alexis Quesada-Arencibia
Comparison fields: 5 of 89
  • Transportation 54
  • Building and Construction 65
  • Computer Networks and Communications 79
  • Media Technology 28
  • Automotive Engineering 30
Replace Gaoyang Liu with:
Gaoyang Liu China
Kun Hua United States
Dmitri I. Arkhipov United States
Fotios Zantalis Greece
Károly Farkas Hungary
Hengrun Zhang China
Qingjun Wang China
Marcus Handte Germany
Eoghan Furey United Kingdom
Fátima Duarte-Figueiredo Brazil
Alexis Quesada-Arencibia relative to Gaoyang Liu China Gaoyang Liu's profile →
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Citations per year

Countries citing papers authored by Alexis Quesada-Arencibia

Since Specialization
Citations

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

Fields of papers citing papers by Alexis Quesada-Arencibia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexis Quesada-Arencibia. 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 Alexis Quesada-Arencibia. The network helps show where Alexis Quesada-Arencibia may publish in the future.

Co-authors

The 19 scholars most cited alongside Alexis Quesada-Arencibia, 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 Alexis Quesada-Arencibia Line = papers co-authored together Alexis Quesada-Arencibia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201741
2 201841
3 201628
4 201918
5 201518
6 201616
7 201912
8 201612
9 200912
10 201611
11 202011
12 201210
13 20148
14 20188
15 19948
16 20137
17 20127
18 20184
19 20144
20 20174

About Alexis Quesada-Arencibia

Alexis Quesada-Arencibia is a scholar working on Transportation, Building and Construction, Computer Networks and Communications, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 44 papers that have together received 320 indexed citations. Recurring topics across this work include Transportation Planning and Optimization (9 papers), Traffic Prediction and Management Techniques (8 papers), Context-Aware Activity Recognition Systems (6 papers), Human Mobility and Location-Based Analysis (6 papers), Bluetooth and Wireless Communication Technologies (6 papers), Indoor and Outdoor Localization Technologies (5 papers), Transportation and Mobility Innovations (4 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in Transportation (54 citations), Building and Construction (65 citations), Computer Networks and Communications (79 citations), Media Technology (28 citations) and Automotive Engineering (30 citations). Alexis Quesada-Arencibia has collaborated with scholars based in Spain, Austria and United States. Frequent co-authors include Roberto Moreno-Díaz, Franz Pichler, Jezabel Molina‐Gil, Cándido Caballero‐Gil, Mike Burmester, Pino Caballero‐Gil, F. Merino, Ana Marta González, Eduardo Carrasco and Eduardo Quevedo. Their work appears in journals such as Sensors, IEEE Access, Animals, EURASIP Journal on Wireless Communications and Networking and IEEE Sensors Journal.

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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