Ivan Puchades

625 citations
43 papers · 473 · h-index 12

Impact in

Papers in

Ivan Puchades

40 papers receiving 453 citations

Peers

Ivan Puchades
Comparison fields: 5 of 54
  • Materials Chemistry 218
  • Electrical and Electronic Engineering 222
  • Biomedical Engineering 160
  • Polymers and Plastics 42
  • Nuclear Energy and Engineering 1
Replace Zhaojun Liu with:
Zhaojun Liu China
Min Miao China
Zhongkai Zhang China
Hongyu Ma China
Lixi Wan China
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F.W. MacDougall United States
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Citations per field
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Citations per year

Countries citing papers authored by Ivan Puchades

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Puchades

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ivan Puchades, 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 Ivan Puchades Line = papers co-authored together Ivan Puchades links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201568
2 201566
3 200342
4 201640
5 202230
6 201120
7 201918
8 200618
9 201918
10 201716
11 202012
12 202012
13 20169
14 20209
15 20148
16 20198
17 20207
18 20117
19 20176
20 20086

About Ivan Puchades

Ivan Puchades is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics and Mechanical Engineering, having authored 43 papers that have together received 473 indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (11 papers), Advanced MEMS and NEMS Technologies (8 papers), Graphene research and applications (8 papers), Nanotechnology research and applications (5 papers), Mechanical and Optical Resonators (5 papers), Semiconductor materials and devices (5 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers) and Experimental Learning in Engineering (4 papers). The work is most often cited by research in Materials Chemistry (218 citations), Electrical and Electronic Engineering (222 citations), Biomedical Engineering (160 citations), Polymers and Plastics (42 citations) and Nuclear Energy and Engineering (1 citation). Ivan Puchades has collaborated with scholars based in United States, Spain and Mexico. Frequent co-authors include Brian J. Landi, Jamie E. Rossi, Cory D. Cress, Christopher M. Schauerman, Sergey Edward Lyshevski, Pankaj Agarwal, Parul Singh, Eric J. Naglich, Jayanti Venkataraman and Amlan Ganguly. Their work appears in journals such as ACS Applied Materials & Interfaces, Sensors and Actuators A Physical, Carbon, ACS Applied Nano Materials and IEEE Antennas and Wireless Propagation Letters.

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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