Karima Velásquez

28 total papers · 533 total citations
18 papers, 390 citations indexed

About

Karima Velásquez is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Karima Velásquez has authored 18 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 6 papers in Electrical and Electronic Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Karima Velásquez's work include IoT and Edge/Fog Computing (12 papers), Software-Defined Networks and 5G (5 papers) and Context-Aware Activity Recognition Systems (5 papers). Karima Velásquez is often cited by papers focused on IoT and Edge/Fog Computing (12 papers), Software-Defined Networks and 5G (5 papers) and Context-Aware Activity Recognition Systems (5 papers). Karima Velásquez collaborates with scholars based in Portugal, Brazil and Venezuela. Karima Velásquez's co-authors include Marília Curado, David Pérez Abreu, Edmundo Monteiro, Edmundo R. M. Madeira, Luiz F. Bittencourt, Diego F. Aranha, Carlos Senna, Nuno Laranjeiro, Marco Vieira and Luís Paquete and has published in prestigious journals such as IEEE Access, Computer Communications and Simulation Modelling Practice and Theory.

In The Last Decade

Karima Velásquez

16 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
Karima Velásquez	340	154	113	74	29	18	390
Nam Ky Giang	345 1.0×	147 1.0×	95 0.8×	105 1.4×	32 1.1×	18	400
David Pérez Abreu	335 1.0×	143 0.9×	114 1.0×	86 1.2×	29 1.0×	19	428
Yuanzhe Li	343 1.0×	134 0.9×	135 1.2×	36 0.5×	18 0.6×	15	427
Alessandro Zanni	360 1.1×	168 1.1×	111 1.0×	106 1.4×	15 0.5×	12	432
Jae-Young Hwang	215 0.6×	91 0.6×	94 0.8×	73 1.0×	36 1.2×	25	371
Yufei Cao	223 0.7×	88 0.6×	133 1.2×	85 1.1×	28 1.0×	20	376
Gaurav Tripathi	289 0.8×	113 0.7×	106 0.9×	68 0.9×	19 0.7×	10	409
Abdur Rahim	246 0.7×	100 0.6×	110 1.0×	64 0.9×	14 0.5×	25	399
Carlos Senna	333 1.0×	138 0.9×	173 1.5×	39 0.5×	28 1.0×	36	427
Aymen Abdullah Alsaffar	320 0.9×	203 1.3×	92 0.8×	74 1.0×	13 0.4×	11	400

Countries citing papers authored by Karima Velásquez

Since Specialization

Citations

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

Fields of papers citing papers by Karima Velásquez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karima Velásquez

This figure shows the co-authorship network connecting the top 25 collaborators of Karima Velásquez. A scholar is included among the top collaborators of Karima Velásquez 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 Karima Velásquez. Karima Velásquez 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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