Javier Poncela

74 total papers · 558 total citations
42 papers, 343 citations indexed

About

Javier Poncela is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Ocean Engineering. According to data from OpenAlex, Javier Poncela has authored 42 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 20 papers in Computer Networks and Communications and 17 papers in Ocean Engineering. Recurrent topics in Javier Poncela's work include Underwater Vehicles and Communication Systems (17 papers), Energy Efficient Wireless Sensor Networks (12 papers) and Energy Harvesting in Wireless Networks (8 papers). Javier Poncela is often cited by papers focused on Underwater Vehicles and Communication Systems (17 papers), Energy Efficient Wireless Sensor Networks (12 papers) and Energy Harvesting in Wireless Networks (8 papers). Javier Poncela collaborates with scholars based in Spain, Pakistan and Saudi Arabia. Javier Poncela's co-authors include Pablo Otero, Muhammad Yousuf Irfan Zia, Mari Carmen Aguayo‐Torres, Muhammad Aamir, Gerardo Gómez, Bhawani Shankar Chowdhry, F. Javier López‐Martínez, J.T. Entrambasaguas, Muhammad Aslam Uqaili and M. Toril and has published in prestigious journals such as IEEE Access, Sensors and IEEE Journal of Oceanic Engineering.

In The Last Decade

Javier Poncela

42 papers receiving 332 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Javier Poncela	198	192	171	51	48	42	343
C. V. Ravikumar	109 0.6×	163 0.8×	80 0.5×	33 0.6×	54 1.1×	23	300
Ruoyu Su	160 0.8×	245 1.3×	237 1.4×	39 0.8×	42 0.9×	22	393
Angelica Lo Duca	177 0.9×	62 0.3×	157 0.9×	17 0.3×	39 0.8×	39	333
Mingsheng Gao	138 0.7×	156 0.8×	154 0.9×	34 0.7×	10 0.2×	36	326
J.J. Serrano	76 0.4×	157 0.8×	185 1.1×	29 0.6×	23 0.5×	40	388
Mohsin Raza Jafri	256 1.3×	206 1.1×	276 1.6×	69 1.4×	9 0.2×	20	368
Alei Liang	66 0.3×	76 0.4×	159 0.9×	10 0.2×	32 0.7×	40	312
Jiani Guo	150 0.8×	109 0.6×	165 1.0×	21 0.4×	32 0.7×	23	302
Nasser Alzeidi	127 0.6×	142 0.7×	221 1.3×	38 0.7×	11 0.2×	46	307
Iyad Tumar	58 0.3×	87 0.5×	89 0.5×	9 0.2×	33 0.7×	25	310

Countries citing papers authored by Javier Poncela

Since Specialization

Citations

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

Fields of papers citing papers by Javier Poncela

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Poncela

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Poncela. A scholar is included among the top collaborators of Javier Poncela 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 Javier Poncela. Javier Poncela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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