Eric D. Laird

682 citations
13 papers · 592 · h-index 10

Impact in

Papers in

    • Carbon Nanotubes in Composites 7
    • Block Copolymer Self-Assembly 3
    • Pickering emulsions and particle stabilization 2
    • Advanced Sensor and Energy Harvesting Materials 5

Eric D. Laird

13 papers receiving 587 citations

Peers

Eric D. Laird
Comparison fields: 5 of 55
  • Polymers and Plastics 263
  • Surfaces, Coatings and Films 65
  • Biomaterials 109
  • Materials Chemistry 317
  • Biomedical Engineering 161
Replace Chae Bin Kim with:
Chae Bin Kim South Korea
Shunjin Peng China
Andreea Irina Barzic Romania
Changshu Kuo Taiwan
Ken‐ichi Niihara Japan
Clinton G. Wiener United States
Feng-Chih Chang Taiwan
P. B. Dobriyal United States
Xiaoqing Ming China
Chun‐Hua Zhu China
Eric D. Laird relative to Chae Bin Kim South Korea Chae Bin Kim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eric D. Laird

Since Specialization
Citations

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

Fields of papers citing papers by Eric D. Laird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric D. Laird. 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 Eric D. Laird. The network helps show where Eric D. Laird may publish in the future.

Co-authors

The 24 scholars most cited alongside Eric D. Laird, 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 Eric D. Laird Line = papers co-authored together Eric D. Laird links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2013194
2 201471
3 201154
4 201650
5 201243
6 201142
7 201535
8 201333
9 201228
10 201727
11 20127
12 20156
13 20162

About Eric D. Laird

Eric D. Laird is a scholar working on Materials Chemistry, Biomedical Engineering, Surfaces, Coatings and Films, Polymers and Plastics and Mechanical Engineering, having authored 13 papers that have together received 592 indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (7 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Block Copolymer Self-Assembly (3 papers), Polymer crystallization and properties (3 papers), Surface Modification and Superhydrophobicity (3 papers), Advanced Materials and Mechanics (2 papers), Force Microscopy Techniques and Applications (2 papers) and Pickering emulsions and particle stabilization (2 papers). The work is most often cited by research in Polymers and Plastics (263 citations), Surfaces, Coatings and Films (65 citations), Biomaterials (109 citations), Materials Chemistry (317 citations) and Biomedical Engineering (161 citations). Eric D. Laird has collaborated with scholars based in United States and France. Frequent co-authors include Christopher Y. Li, Wen-Da Wang, Wenda Wang, Yury Gogotsi, Kenneth E. Strawhecker, Emil Sandoz‐Rosado, Yujun Xie, Eun Ju Moon, Ranjita K. Bose and D. J. Keavney. Their work appears in journals such as Polymer, Macromolecules, Journal of the American Chemical Society, Science China Chemistry and Data in Brief.

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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