Ethan C. Self

2.4k citations
52 papers · 1.6k · h-index 24

Impact in

Papers in

Ethan C. Self

52 papers receiving 1.6k citations

Peers

Ethan C. Self
Comparison fields: 5 of 58
  • Automotive Engineering 470
  • Electrical and Electronic Engineering 1.4k
  • Electronic, Optical and Magnetic Materials 422
  • Mechanical Engineering 260
  • Industrial and Manufacturing Engineering 48
Replace Natalia N. Bramnik with:
Natalia N. Bramnik Germany
Maofan Li China
Donggun Eum South Korea
Dhamodaran Santhanagopalan India
Wanlin Wang China
Jakob Asenbauer Germany
Muhammad Mominur Rahman United States
Qidi Wang China
Ethan C. Self relative to Natalia N. Bramnik Germany Natalia N. Bramnik's profile →
Citations per field
00.5×3.3×
Natalia N. Bramnik · 1×
Citations per year

Countries citing papers authored by Ethan C. Self

Since Specialization
Citations

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

Fields of papers citing papers by Ethan C. Self

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ethan C. Self. 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 Ethan C. Self. The network helps show where Ethan C. Self may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019204
2 2022121
3 202098
4 202096
5 201767
6 201958
7 201956
8 201955
9 201549
10 202145
11 202242
12 201940
13 201939
14 201936
15 202233
16 202033
17 202131
18 202030
19 202229
20 202029

About Ethan C. Self

Ethan C. Self is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Electronic, Optical and Magnetic Materials, Mechanical Engineering and Materials Chemistry, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advancements in Battery Materials (41 papers), Advanced Battery Materials and Technologies (36 papers), Advanced Battery Technologies Research (16 papers), Supercapacitor Materials and Fabrication (10 papers), Advanced battery technologies research (9 papers), Extraction and Separation Processes (8 papers), Thermal Expansion and Ionic Conductivity (5 papers) and Semiconductor materials and devices (4 papers). The work is most often cited by research in Automotive Engineering (470 citations), Electrical and Electronic Engineering (1.4k citations), Electronic, Optical and Magnetic Materials (422 citations), Mechanical Engineering (260 citations) and Industrial and Manufacturing Engineering (48 citations). Ethan C. Self has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Jagjit Nanda, Harry M. Meyer, Ilias Belharouak, Zhijia Du, Rose E. Ruther, Guang Yang, Peter N. Pintauro, Ryszard Wycisk, Nitin Muralidharan and Ruhul Amin. Their work appears in journals such as Journal of The Electrochemical Society, ACS Applied Materials & Interfaces, Chemistry of Materials, ACS Energy Letters and Energy storage materials.

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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