Maria‐Dolores Cano

2.0k citations
72 papers · 1.2k indexed · h-index 18
Topics
Network Traffic and Congestion Control (10 papers)Wireless Networks and Protocols (9 papers)Traffic control and management (8 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessIEEE Journal on Selected Areas in Communications
Partner nations
SpainColombiaLatvia

In The Last Decade

Maria‐Dolores Cano

62 papers receiving 1.2k citations

Peers

Maria‐Dolores Cano
Comparison fields: 5 of 113
  • Computer Networks and Communications 630
  • Electrical and Electronic Engineering 547
  • Aerospace Engineering 181
  • Computer Vision and Pattern Recognition 148
  • Control and Systems Engineering 140
Replace Jochen Seitz with:
Jochen Seitz Germany
Elyes Ben Hamida Qatar
Jiadai Wang China
Ramón Sanchez‐Iborra Spain
T. Umer Pakistan
Andrey Koucheryavy Russia
Gunasekaran Raja India
José Santa Spain
Yiming Miao China
Hrishikesh Venkataraman India
Maria‐Dolores Cano relative to Jochen Seitz Germany Jochen Seitz's profile →
Citations per field
00.5×1.5×2.5×
Jochen Seitz · 1×
Citations per year

Countries citing papers authored by Maria‐Dolores Cano

Since Specialization
Citations

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

Fields of papers citing papers by Maria‐Dolores Cano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria‐Dolores Cano. 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 Maria‐Dolores Cano. The network helps show where Maria‐Dolores Cano may publish in the future.

Co-authorship network of co-authors of Maria‐Dolores Cano

This figure shows the co-authorship network connecting the top 25 collaborators of Maria‐Dolores Cano. A scholar is included among the top collaborators of Maria‐Dolores Cano 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 Maria‐Dolores Cano. Maria‐Dolores Cano 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 3
4 1
5 0
6 12
7 0
8 10
9 0
10 2
11 31
12 0
13 37
14 15
15 210
16 6
17 14
18 9
19 0
20 5

About Maria‐Dolores Cano

Maria‐Dolores Cano is a scholar working on Computer Networks and Communications, Transportation and Computer Vision and Pattern Recognition, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (10 papers), Wireless Networks and Protocols (9 papers) and Traffic control and management (8 papers). The work is most often cited by research in Computer Networks and Communications (630 citations), Electrical and Electronic Engineering (547 citations) and Transportation (51 citations). Maria‐Dolores Cano has collaborated with scholars based in Spain, Colombia and Latvia. Frequent co-authors include Ramón Sanchez‐Iborra, Antonio Guillén, Antonio Skármeta, Jesús Sánchez-Gómez, Joan Garcı́a-Haro, Fernando Cerdán, Juan Carlos Sánchez-Aarnoutse, Ginés Doménech‐Asensi, Antonio-Javier García-Sánchez and José C. Milisenda. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Journal on Selected Areas in 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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