Inmaculada Serrano

573 citations
23 papers · 389 · h-index 12

Impact in

Papers in

Inmaculada Serrano

22 papers receiving 378 citations

Peers

Inmaculada Serrano
Comparison fields: 5 of 57
  • Computer Networks and Communications 164
  • Artificial Intelligence 129
  • Electrical and Electronic Engineering 187
  • Software 11
  • Geophysics 38
Replace Shuang Zhao with:
Shuang Zhao China
Ashish Jain India
Edson Borin Brazil
Yu-Ming Chang Taiwan
Matthew Faulkner United States
Changyou Zhang China
Isaac Gelado Spain
Christian Terboven Germany
Andres Méndez-Vázquez Mexico
Inmaculada Serrano relative to Shuang Zhao China Shuang Zhao's profile →
Citations per field
00.5×4.1×
Shuang Zhao · 1×
Citations per year

Countries citing papers authored by Inmaculada Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Inmaculada Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Inmaculada Serrano, 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 Inmaculada Serrano Line = papers co-authored together Inmaculada Serrano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201575
2 201538
3 201532
4 201230
5 201530
6 201523
7 201620
8 201619
9 201619
10 201617
11 201416
12 201816
13 201811
14 20179
15 20149
16 20176
17 20175
18 20174
19 20154
20 20203

About Inmaculada Serrano

Inmaculada Serrano is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 389 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (10 papers), Millimeter-Wave Propagation and Modeling (5 papers), Software System Performance and Reliability (4 papers), Cooperative Communication and Network Coding (3 papers), Advanced Wireless Network Optimization (3 papers), Advanced Clustering Algorithms Research (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Computer Networks and Communications (164 citations), Artificial Intelligence (129 citations), Electrical and Electronic Engineering (187 citations), Software (11 citations) and Geophysics (38 citations). Inmaculada Serrano has collaborated with scholars based in Spain, Sweden and Hungary. Frequent co-authors include Raquel Barco, Pablo Muñoz, Emil J. Khatib, Isabel de-la-Bandera, Javier Almendros, Daniel Stich, Jesús M. Ibáñez, Enrique Carmona, Sergio Fortes and Rosa Martín. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Communications Letters, Wireless Personal Communications, EURASIP Journal on Wireless Communications and Networking and IEEE 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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