Leno Mascia

3.3k total citations
119 papers, 2.8k citations indexed

About

Leno Mascia is a scholar working on Polymers and Plastics, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Leno Mascia has authored 119 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Polymers and Plastics, 42 papers in Mechanical Engineering and 41 papers in Materials Chemistry. Recurrent topics in Leno Mascia's work include Polymer Nanocomposites and Properties (43 papers), Polymer crystallization and properties (39 papers) and Synthesis and properties of polymers (30 papers). Leno Mascia is often cited by papers focused on Polymer Nanocomposites and Properties (43 papers), Polymer crystallization and properties (39 papers) and Synthesis and properties of polymers (30 papers). Leno Mascia collaborates with scholars based in United Kingdom, Italy and United States. Leno Mascia's co-authors include Pellegrino Musto, G. Ragosta, Gennaro Scarinzi, Mariaenrica Frigione, Mario Abbate, Marino Lavorgna, Domenico Acierno, Tao Tang, Brenda Parker and Gaozhi Xiao and has published in prestigious journals such as Chemistry of Materials, Journal of Materials Chemistry and Journal of Membrane Science.

In The Last Decade

Leno Mascia

116 papers receiving 2.7k citations

Peers

Leno Mascia
Comparison fields: 5 of 91
  • Polymers and Plastics 1.8k
  • Materials Chemistry 1.2k
  • Mechanical Engineering 843
  • Mechanics of Materials 446
  • Biomaterials 355
Replace Chin‐Lung Chiang with:
Chin‐Lung Chiang Taiwan
Alan J. Lesser United States
G. Ragosta Italy
T. C. Ward United States
Marialuigia Raimondo Italy
Sergei Nazarenko United States
Abdelghani Laachachi France
Hangquan Li China
Han Min Zeng China
Farzana Hussain United States
Chin‐Lung Chiang Taiwan View profile →
Citations per field, relative to Leno Mascia
Leno Mascia · 1×
Citations per year, relative to Leno Mascia
Leno Mascia · 1×

Countries citing papers authored by Leno Mascia

Since Specialization
Citations

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

Fields of papers citing papers by Leno Mascia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leno Mascia

This figure shows the co-authorship network connecting the top 25 collaborators of Leno Mascia. A scholar is included among the top collaborators of Leno Mascia 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 Leno Mascia. Leno Mascia 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
# Work Indexed citations
1 4
2 38
3 1
4 252
5 41
6 5
7 41
8 24
9 1
10 38
11 20
12 34
13 50
14 100
15 12
16 81
17 24
18 1
19 11
20 26

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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