M. BrightSky

2.6k citations
66 papers · 2.0k · h-index 23

Impact in

Papers in

M. BrightSky

63 papers receiving 1.9k citations

Peers

M. BrightSky
Comparison fields: 5 of 39
  • Electrical and Electronic Engineering 1.8k
  • Polymers and Plastics 342
  • Materials Chemistry 971
  • Cellular and Molecular Neuroscience 275
  • Hardware and Architecture 74
Replace Rohit S. Shenoy with:
Rohit S. Shenoy United States
B. N. Kurdi United States
L. Perniola France
B. Govoreanu Belgium
G. Molas France
Chung Lam United States
B. De Salvo France
Masatoshi Ishii Japan
Paolo Fantini Italy
Chang Jung Kim South Korea
M. BrightSky relative to Rohit S. Shenoy United States Rohit S. Shenoy's profile →
Citations per field
00.5×4.2×
Rohit S. Shenoy · 1×
Citations per year

Countries citing papers authored by M. BrightSky

Since Specialization
Citations

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

Fields of papers citing papers by M. BrightSky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016288
2 2018231
3 2014165
4 2015137
5 201986
6 201261
7 201659
8 201956
9 201252
10 201443
11 201942
12 201741
13 201841
14 201839
15 201337
16 201535
17 201335
18 201231
19
Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses
201629
20 201326

About M. BrightSky

M. BrightSky is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Artificial Intelligence and Electronic, Optical and Magnetic Materials, having authored 66 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (52 papers), Phase-change materials and chalcogenides (48 papers), Ferroelectric and Negative Capacitance Devices (15 papers), Transition Metal Oxide Nanomaterials (11 papers), Chalcogenide Semiconductor Thin Films (10 papers), Semiconductor materials and devices (9 papers), Liquid Crystal Research Advancements (8 papers) and Neural Networks and Reservoir Computing (8 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.8k citations), Polymers and Plastics (342 citations), Materials Chemistry (971 citations), Cellular and Molecular Neuroscience (275 citations) and Hardware and Architecture (74 citations). M. BrightSky has collaborated with scholars based in United States, Taiwan and Switzerland. Frequent co-authors include Sang‐Bum Kim, Geoffrey W. Burr, Abu Sebastian, Huai‐Yu Cheng, Evangelos Eleftheriou, Chung Lam, Hsiang-Lan Lung, Manuel Le Gallo, Norma Sosa and C. Lam. Their work appears in journals such as IEEE Transactions on Electron Devices, Scientific Reports, IEEE Journal of Solid-State Circuits, Advanced Science and Semiconductor Science and Technology.

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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