Eilam Yalon

3.2k citations
81 papers · 1.9k indexed · h-index 23
Topics
Advanced Memory and Neural Computing (43 papers)Ferroelectric and Negative Capacitance Devices (28 papers)Semiconductor materials and devices (19 papers)

In The Last Decade

Eilam Yalon

76 papers receiving 1.9k citations

Peers

Eilam Yalon
Comparison fields: 5 of 43
  • Materials Chemistry 1.3k
  • Electrical and Electronic Engineering 1.2k
  • Biomedical Engineering 220
  • Polymers and Plastics 198
  • Cellular and Molecular Neuroscience 134
Replace Connor J. McClellan with:
Connor J. McClellan United States
Hwan Sung Choe United States
Jesse Tice United States
Ertao Hu China
Miguel Muñoz Rojo United States
Hailu Wang China
Shuchao Qin China
Jinjoo Park South Korea
Meng Peng China
Eilam Yalon relative to Connor J. McClellan United States Connor J. McClellan's profile →
Citations per field
00.5×2.5×
Connor J. McClellan · 1×
Citations per year

Countries citing papers authored by Eilam Yalon

Since Specialization
Citations

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

Fields of papers citing papers by Eilam Yalon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eilam Yalon

This figure shows the co-authorship network connecting the top 25 collaborators of Eilam Yalon. A scholar is included among the top collaborators of Eilam Yalon 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 Eilam Yalon. Eilam Yalon 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
#WorkIndexed citations
1 0
2 0
3 1
4 22
5 1
6 2
7 20
8 4
9 6
10 52
11 8
12 8
13 192
14 5
15 12
16 6
17 35
18 109
19 44
20 114

About Eilam Yalon

Eilam Yalon is a scholar working on Polymers and Plastics, Materials Chemistry and Electrical and Electronic Engineering, having authored 81 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (43 papers), Ferroelectric and Negative Capacitance Devices (28 papers) and Semiconductor materials and devices (19 papers). The work is most often cited by research in Materials Chemistry (1.3k citations), Electrical and Electronic Engineering (1.2k citations) and Polymers and Plastics (198 citations). Eilam Yalon has collaborated with scholars based in Israel, United States and South Korea. Frequent co-authors include Eric Pop, Connor J. McClellan, Kirby K. H. Smithe, Saurabh V. Suryavanshi, Miguel Muñoz Rojo, Christopher M. Neumann, Sanchit Deshmukh, Feng Xiong, D. Ritter and Alexander J. Gabourie. Their work appears in journals such as Nano Letters, ACS Nano and Applied Physics Letters.

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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