A.I. Oliva-Avilés

1.1k citations
28 papers · 940 indexed · h-index 14
Topics
Carbon Nanotubes in Composites (12 papers)Conducting polymers and applications (9 papers)Smart Materials for Construction (8 papers)

In The Last Decade

A.I. Oliva-Avilés

28 papers receiving 919 citations

Peers

A.I. Oliva-Avilés
Comparison fields: 5 of 53
  • Materials Chemistry 559
  • Biomedical Engineering 509
  • Pollution 277
  • Polymers and Plastics 254
  • Electrical and Electronic Engineering 239
Replace Samuel T. Buschhorn with:
Samuel T. Buschhorn Germany
Biagio De Vivo Italy
Xiaodong Xia China
Kunmo Chu South Korea
José Roberto Bautista‐Quijano Germany
Jan Sumfleth Germany
Srinivas Subramaniam United States
Myounggu Park South Korea
C. A. Cooper United Kingdom
A.I. Oliva-Avilés relative to Samuel T. Buschhorn Germany Samuel T. Buschhorn's profile →
Citations per field
00.5×1.5×2.1×
Samuel T. Buschhorn · 1×
Citations per year

Countries citing papers authored by A.I. Oliva-Avilés

Since Specialization
Citations

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

Fields of papers citing papers by A.I. Oliva-Avilés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.I. Oliva-Avilés. 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 A.I. Oliva-Avilés. The network helps show where A.I. Oliva-Avilés may publish in the future.

Co-authorship network of co-authors of A.I. Oliva-Avilés

This figure shows the co-authorship network connecting the top 25 collaborators of A.I. Oliva-Avilés. A scholar is included among the top collaborators of A.I. Oliva-Avilés 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 A.I. Oliva-Avilés. A.I. Oliva-Avilés 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 1
2 2
3 1
4 3
5 5
6 28
7 13
8 6
9 25
10 129
11 21
12 39
13 12
14 14
15 31
16 38
17 105
18 67
19 260
20 32

About A.I. Oliva-Avilés

A.I. Oliva-Avilés is a scholar working on Polymers and Plastics, Pollution and Materials Chemistry, having authored 28 papers that have together received 940 indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (12 papers), Conducting polymers and applications (9 papers) and Smart Materials for Construction (8 papers). The work is most often cited by research in Pollution (277 citations), Nuclear Energy and Engineering (9 citations) and Polymers and Plastics (254 citations). A.I. Oliva-Avilés has collaborated with scholars based in Mexico, United States and Germany. Frequent co-authors include F. Avilés, Vı́ctor Sosa, A.I. Oliva, Gary D. Seidel, F. Gamboa, Rodrigo Patiño, A. May‐Pat, Xiang Ren, José de Jesús Ku-Herrera and V. V. Zozulya. Their work appears in journals such as Carbon, Journal of Materials Science and Composites Science and Technology.

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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