Stephen Lam

601 citations
6 papers · 41 · h-index 3

Impact in

    • Semiconductor materials and devices
    • Advancements in Semiconductor Devices and Circuit Design
    • Silicon Carbide Semiconductor Technologies
    • Advanced Memory and Neural Computing
    • Integrated Circuits and Semiconductor Failure Analysis
    • Ferroelectric and Negative Capacitance Devices
    • Diamond and Carbon-based Materials Research

Papers in

Stephen Lam

6 papers receiving 41 citations

Peers

Stephen Lam
Comparison fields: 5 of 17
  • Electrical and Electronic Engineering 37
  • Materials Chemistry 25
  • Hardware and Architecture 2
  • Mechanics of Materials 6
  • Surfaces, Coatings and Films 1
Replace P. Kulkarni with:
P. Kulkarni United States
Zhaoyi Liu China
D. E. Jung South Korea
D. Mura Italy
Christian Dorfer Switzerland
Yuri Andreev Russia
Liqing Zhan China
Muriel de Potter de ten Broeck Belgium
A. Pritchard United Kingdom
J. Kluth United States
Stephen Lam relative to P. Kulkarni United States P. Kulkarni's profile →
Citations per field
00.5×2.7×
P. Kulkarni · 1×
Citations per year

Countries citing papers authored by Stephen Lam

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Stephen Lam, 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 Stephen Lam Line = papers co-authored together Stephen Lam links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 201825
2 20206
3 20195
4 20142
5 20152
6 20221

About Stephen Lam

Stephen Lam is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics, Cognitive Neuroscience and Artificial Intelligence, having authored 6 papers that have together received 41 indexed citations. Recurring topics across this work include Semiconductor materials and devices (4 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), Diamond and Carbon-based Materials Research (2 papers), Neural Networks and Reservoir Computing (1 paper), Force Microscopy Techniques and Applications (1 paper), Neural dynamics and brain function (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (37 citations), Materials Chemistry (25 citations), Hardware and Architecture (2 citations), Mechanics of Materials (6 citations) and Surfaces, Coatings and Films (1 citation). Stephen Lam has collaborated with scholars based in United States. Frequent co-authors include Xiwei Bai, Biqin Huang, Tomasz Brożek, Wei Yi, Christopher P. Hess, John Chen and Matthew Moe. Their work appears in journals such as Scientific Reports and IEEE Transactions on Semiconductor Manufacturing.

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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