J.I. Raffel

612 citations
35 papers · 357 · h-index 12

Impact in

Papers in

J.I. Raffel

34 papers receiving 316 citations

Peers

J.I. Raffel
Comparison fields: 5 of 38
  • Hardware and Architecture 50
  • Electronic, Optical and Magnetic Materials 74
  • Electrical and Electronic Engineering 209
  • Atomic and Molecular Physics, and Optics 82
  • Computer Vision and Pattern Recognition 41
Replace Takashi Miyazaki with:
Takashi Miyazaki Japan
V. Chan United States
Yu-Kun Lin Taiwan
R.D. Baertsch United States
Xin An United States
Jamil Kawa United States
T. Tanigawa Japan
Po-Hao Lee Taiwan
Oscar A. Jimenez Gordillo United States
J.I. Raffel relative to Takashi Miyazaki Japan Takashi Miyazaki's profile →
Citations per field
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Citations per year

Countries citing papers authored by J.I. Raffel

Since Specialization
Citations

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

Fields of papers citing papers by J.I. Raffel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.I. Raffel. 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 J.I. Raffel. The network helps show where J.I. Raffel may publish in the future.

Co-authors

The 20 scholars most cited alongside J.I. Raffel, 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 J.I. Raffel Line = papers co-authored together J.I. Raffel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196141
2 198837
3 195931
4 198525
5 198323
6 198523
7 199219
8
A generic architecture for wafer-scale neuromorphic systems
198917
9 199315
10 196412
11 198012
12 196411
13 198011
14 198210
15 19929
16 19638
17 20038
18 19856
19 19684
20 20024

About J.I. Raffel

J.I. Raffel is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computational Mechanics, Biomedical Engineering and Artificial Intelligence, having authored 35 papers that have together received 357 indexed citations. Recurring topics across this work include Semiconductor materials and devices (12 papers), Advanced Memory and Neural Computing (8 papers), Magnetic properties of thin films (8 papers), Laser Material Processing Techniques (6 papers), Semiconductor Lasers and Optical Devices (6 papers), Integrated Circuits and Semiconductor Failure Analysis (6 papers), Advanced Surface Polishing Techniques (6 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Hardware and Architecture (50 citations), Electronic, Optical and Magnetic Materials (74 citations), Electrical and Electronic Engineering (209 citations), Atomic and Molecular Physics, and Optics (82 citations) and Computer Vision and Pattern Recognition (41 citations). J.I. Raffel has collaborated with scholars based in United States. Frequent co-authors include Glenn H. Chapman, P.W. Wyatt, A.M. Soares, Allan Heaton Anderson, A. Anderson, Shimon Cohen, J. Yasaitis, Edward F. Gleason, Fred L. Terry and Robert Berger. Their work appears in journals such as IEEE Transactions on Electron Devices, Journal of Applied Physics, IEEE Electron Device Letters, Computer and IEEE Journal of Solid-State Circuits.

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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