Linda Vaisman

2.2k total citations · 1 hit paper
6 papers, 1.9k citations indexed

About

Linda Vaisman is a scholar working on Materials Chemistry, Polymers and Plastics and Biomedical Engineering. According to data from OpenAlex, Linda Vaisman has authored 6 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Materials Chemistry, 4 papers in Polymers and Plastics and 4 papers in Biomedical Engineering. Recurrent topics in Linda Vaisman's work include Carbon Nanotubes in Composites (4 papers), Graphene research and applications (2 papers) and Polymer Nanocomposites and Properties (2 papers). Linda Vaisman is often cited by papers focused on Carbon Nanotubes in Composites (4 papers), Graphene research and applications (2 papers) and Polymer Nanocomposites and Properties (2 papers). Linda Vaisman collaborates with scholars based in Israel and Hong Kong. Linda Vaisman's co-authors include G. Marom, H. Daniel Wagner, Jing Li, Jang‐Kyo Kim and Ellen Wachtel and has published in prestigious journals such as Advanced Functional Materials, Carbon and Polymer.

In The Last Decade

Linda Vaisman

6 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The role of surfactants in dispersion of carbon nanotubes

2006 1.2k citations Linda Vaisman, H. Daniel Wagner et al. Advances in Colloid and Interface Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Linda Vaisman Israel	6	1.2k	727	612	301	264	6	1.9k
Yuefeng Zhu China	14	891 0.8×	564 0.8×	362 0.6×	155 0.5×	224 0.8×	25	1.6k
Marcos Gomes Ghislandi Brazil	28	1.1k 1.0×	881 1.2×	433 0.7×	484 1.6×	176 0.7×	51	2.2k
Jan‐Chan Huang United States	17	474 0.4×	642 0.9×	845 1.4×	202 0.7×	228 0.9×	72	1.8k
Sylvie Bonnamy France	23	1.6k 1.4×	538 0.7×	460 0.8×	663 2.2×	473 1.8×	86	2.7k
A. Kalendová Czechia	25	1.2k 1.1×	345 0.5×	880 1.4×	385 1.3×	92 0.3×	120	2.1k
Mircea Chipara United States	19	824 0.7×	427 0.6×	634 1.0×	320 1.1×	169 0.6×	103	1.7k
A. Peigney France	18	2.1k 1.8×	725 1.0×	422 0.7×	854 2.8×	521 2.0×	29	3.1k
Sriya Das United States	13	1.0k 0.9×	698 1.0×	293 0.5×	371 1.2×	166 0.6×	17	1.5k
Shigeru Tasaka Japan	19	426 0.4×	664 0.9×	618 1.0×	180 0.6×	126 0.5×	130	1.4k
Sławomir Boncel Poland	26	926 0.8×	753 1.0×	308 0.5×	390 1.3×	348 1.3×	114	2.1k

Countries citing papers authored by Linda Vaisman

Since Specialization

Citations

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

Fields of papers citing papers by Linda Vaisman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Vaisman

This figure shows the co-authorship network connecting the top 25 collaborators of Linda Vaisman. A scholar is included among the top collaborators of Linda Vaisman 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 Linda Vaisman. Linda Vaisman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Li, Jing, Linda Vaisman, G. Marom, & Jang‐Kyo Kim. (2007). Br treated graphite nanoplatelets for improved electrical conductivity of polymer composites. Carbon. 45(4). 744–750. 148 indexed citations

2.

Vaisman, Linda, Ellen Wachtel, H. Daniel Wagner, & G. Marom. (2007). Polymer-nanoinclusion interactions in carbon nanotube based polyacrylonitrile extruded and electrospun fibers. Polymer. 48(23). 6843–6854. 64 indexed citations

3.

Vaisman, Linda, H. Daniel Wagner, & G. Marom. (2006). The role of surfactants in dispersion of carbon nanotubes. Advances in Colloid and Interface Science. 128-130. 37–46. 1232 indexed citations breakdown →

4.

Vaisman, Linda, et al.. (2006). Processing and characterization of extruded drawn MWNT-PAN composite filaments. Composites Part A Applied Science and Manufacturing. 38(5). 1354–1362. 31 indexed citations

5.

Vaisman, Linda, G. Marom, & H. Daniel Wagner. (2005). Dispersions of Surface‐Modified Carbon Nanotubes in Water‐Soluble and Water‐Insoluble Polymers. Advanced Functional Materials. 16(3). 357–363. 338 indexed citations

6.

Vaisman, Linda, et al.. (2003). Transcrystallinity in brominated UHMWPE fiber reinforced HDPE composites: morphology and dielectric properties. Polymer. 44(4). 1229–1235. 46 indexed citations

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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