Michael M. Lerner

4.2k citations
111 papers · 3.6k · h-index 32

Impact in

Papers in

Michael M. Lerner

108 papers receiving 3.5k citations

Peers

Michael M. Lerner
Comparison fields: 5 of 102
  • Polymers and Plastics 773
  • Electrical and Electronic Engineering 2.3k
  • Electronic, Optical and Magnetic Materials 595
  • Industrial and Manufacturing Engineering 270
  • Automotive Engineering 369
Replace M. Pasquali with:
M. Pasquali Italy
Mitsuhiro Hibino Japan
Xianbo Jin China
Katsutoshi Fukuda Japan
Chiaki Iwakura Japan
Shiyou Guan China
Ivan Exnar Switzerland
Soo Min Hwang South Korea
Cuihua An China
Michael M. Lerner relative to M. Pasquali Italy M. Pasquali's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael M. Lerner

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. Lerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael M. Lerner. 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 Michael M. Lerner. The network helps show where Michael M. Lerner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015244
2 1993237
3 2017183
4 1996162
5 2020158
6 2010153
7 2016135
8 2013130
9 1994108
10 202191
11 201985
12 199985
13 200179
14 201075
15 201168
16 199264
17 199564
18 199760
19 200753
20 202052

About Michael M. Lerner

Michael M. Lerner is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Mechanical Engineering and Inorganic Chemistry, having authored 111 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advancements in Battery Materials (44 papers), Advanced Battery Materials and Technologies (42 papers), Fiber-reinforced polymer composites (26 papers), Conducting polymers and applications (20 papers), Graphene research and applications (20 papers), Inorganic Fluorides and Related Compounds (14 papers), Polymer Nanocomposites and Properties (9 papers) and Layered Double Hydroxides Synthesis and Applications (8 papers). The work is most often cited by research in Polymers and Plastics (773 citations), Electrical and Electronic Engineering (2.3k citations), Electronic, Optical and Magnetic Materials (595 citations), Industrial and Manufacturing Engineering (270 citations) and Automotive Engineering (369 citations). Michael M. Lerner has collaborated with scholars based in United States, Japan and Thailand. Frequent co-authors include Christopher O. Oriakhi, Jinghe Wu, Xiulei Ji, Weekit Sirisaksoontorn, Nipaka Sukpirom, John P. Lemmon, Isaac V. Farr, Mingdi Yan, Lihong Liu and Xuerong Zhang. Their work appears in journals such as Chemistry of Materials, Carbon, Journal of The Electrochemical Society, Materials Research Bulletin and Inorganic Chemistry.

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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