Ido Cooperstein

2.0k citations
15 papers · 1.8k · 1 hit paper · h-index 14

Impact in

Papers in

Ido Cooperstein

14 papers receiving 1.7k citations

Ido Cooperstein's Hit Papers

3D Printing of Shape Memory Polymers for Flexible Electronic Devices 2015 · 791 citations
7910+3+7Years since publication250500750

Peers

Ido Cooperstein
Comparison fields: 5 of 84
  • Automotive Engineering 750
  • Polymers and Plastics 420
  • Biomedical Engineering 1.1k
  • Mechanical Engineering 553
  • Organic Chemistry 305
Replace Xiangnan He with:
Xiangnan He China
Xiaoming Mu China
S. Macrae Montgomery United States
Thomas J. Wallin United States
Dinesh K. Patel United States
D.Q. Kelly United States
Tiejun Wang China
Zhongying Ji China
Xiaoqun Zhu China
Xiaohao Sun United States
Ido Cooperstein relative to Xiangnan He China Xiangnan He's profile →
Citations per field
00.5×2×4×6×8.8×
Xiangnan He · 1×
Citations per year

Countries citing papers authored by Ido Cooperstein

Since Specialization
Citations

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

Fields of papers citing papers by Ido Cooperstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
3D Printing of Shape Memory Polymers for Flexible Electronic Devices
Hit paper breakdown →
2015791
2 2016237
3 2018132
4 2016109
5 201597
6 201875
7 202074
8 201851
9 201648
10 201342
11 202136
12 202136
13 201429
14 202315
15 20201

About Ido Cooperstein

Ido Cooperstein is a scholar working on Automotive Engineering, Biomedical Engineering, Organic Chemistry, Spectroscopy and Polymers and Plastics, having authored 15 papers that have together received 1.8k indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (9 papers), Photopolymerization techniques and applications (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Aerogels and thermal insulation (3 papers), 3D Printing in Biomedical Research (3 papers), Polymer composites and self-healing (3 papers), Nanomaterials and Printing Technologies (2 papers) and Advanced Photocatalysis Techniques (2 papers). The work is most often cited by research in Automotive Engineering (750 citations), Polymers and Plastics (420 citations), Biomedical Engineering (1.1k citations), Mechanical Engineering (553 citations) and Organic Chemistry (305 citations). Ido Cooperstein has collaborated with scholars based in Israel, Singapore and China. Frequent co-authors include Shlomo Magdassi, Michael Layani, Matt Zarek, Daniel Cohn, Ela Sachyani Keneth, Alexander Kamyshny, Nam‐Joon Cho, Amol Ashok Pawar, Liraz Larush and Joshua A. Jackman. Their work appears in journals such as Advanced Materials, Advanced Science, Journal of Materials Chemistry C, Nature Communications and Review of Scientific Instruments.

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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