J. Kuss

795 citations
4 papers · 45 · h-index 3

Impact in

    • Advancements in Semiconductor Devices and Circuit Design
    • Semiconductor materials and devices
    • Silicon Carbide Semiconductor Technologies
    • Integrated Circuits and Semiconductor Failure Analysis
    • Ferroelectric and Negative Capacitance Devices
    • Thin-Film Transistor Technologies
    • Advanced Memory and Neural Computing
    • Nanowire Synthesis and Applications

Papers in

    • Advancements in Semiconductor Devices and Circuit Design 3
    • Semiconductor materials and devices 3
    • Ferroelectric and Negative Capacitance Devices 2
    • Integrated Circuits and Semiconductor Failure Analysis 1
    • Silicon Carbide Semiconductor Technologies 1
    • Advanced Memory and Neural Computing 1
    • Neuroscience and Neural Engineering 1

J. Kuss

4 papers receiving 44 citations

Peers

J. Kuss
Comparison fields: 5 of 5
  • Electrical and Electronic Engineering 45
  • Biomedical Engineering 5
  • Materials Chemistry 3
  • Atomic and Molecular Physics, and Optics 2
  • Artificial Intelligence 1
Replace N. Nidhi with:
N. Nidhi United States
Nance Ericson United States
M. Iwai Japan
S. Morvan France
F. Roscher Germany
S. Puget France
L. Clement France
Dave Huffman United States
Brajesh C. Choudhary India
Ryo Fukuda Japan
J. Kuss relative to N. Nidhi United States N. Nidhi's profile →
Citations per field
00.5×
N. Nidhi · 1×
Citations per year

Countries citing papers authored by J. Kuss

Since Specialization
Citations

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

Fields of papers citing papers by J. Kuss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

About J. Kuss

J. Kuss is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Infectious Diseases, Organic Chemistry and Surgery, having authored 4 papers that have together received 45 indexed citations. Recurring topics across this work include Advancements in Semiconductor Devices and Circuit Design (3 papers), Semiconductor materials and devices (3 papers), Ferroelectric and Negative Capacitance Devices (2 papers), Integrated Circuits and Semiconductor Failure Analysis (1 paper), Neuroscience and Neural Engineering (1 paper), Silicon Carbide Semiconductor Technologies (1 paper) and Advanced Memory and Neural Computing (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (45 citations), Biomedical Engineering (5 citations), Materials Chemistry (3 citations), Atomic and Molecular Physics, and Optics (2 citations) and Artificial Intelligence (1 citation). J. Kuss has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include G. Shahidi, A. Khakifirooz, Qing Liu, Kangguo Cheng, B. Doris, A. Reznicek, Hong He, Juntao Li, Thomas Adam and S. Ponoth. Their work appears in journals such as IEEE Electron Device 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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