Stephen McGill

2.7k citations
99 papers · 2.1k · h-index 22

Impact in

Papers in

Stephen McGill

93 papers receiving 2.1k citations

Peers

Stephen McGill
Comparison fields: 5 of 115
  • Neuropsychology and Physiological Psychology 63
  • Electronic, Optical and Magnetic Materials 724
  • Materials Chemistry 1.2k
  • Condensed Matter Physics 293
  • Electrical and Electronic Engineering 848
Replace Hidefumi Akiyama with:
Hidefumi Akiyama Japan
Shu Yamaguchi Japan
David Lichtman United States
M. I. Bell United States
Xuefeng Chen China
John W. Gibson United States
Meiling Zhang China
Yasunori Yamada Japan
Satoshi Yamaguchi Japan
Stephen McGill relative to Hidefumi Akiyama Japan Hidefumi Akiyama's profile →
Citations per field
00.5×4.2×
Hidefumi Akiyama · 1×
Citations per year

Countries citing papers authored by Stephen McGill

Since Specialization
Citations

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

Fields of papers citing papers by Stephen McGill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019293
2 2009190
3 2009144
4 2015113
5 2008105
6 201491
7 201286
8 201978
9 200976
10 201974
11 200664
12 201541
13 201238
14 201832
15 201831
16 201929
17 200427
18 201625
19 201223
20 201322

About Stephen McGill

Stephen McGill is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Condensed Matter Physics, having authored 99 papers that have together received 2.1k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (18 papers), 2D Materials and Applications (18 papers), Semiconductor Quantum Structures and Devices (16 papers), Quantum and electron transport phenomena (16 papers), Multiferroics and related materials (15 papers), Magnetic and transport properties of perovskites and related materials (14 papers), Advanced Condensed Matter Physics (14 papers) and Molecular Junctions and Nanostructures (8 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (63 citations), Electronic, Optical and Magnetic Materials (724 citations), Materials Chemistry (1.2k citations), Condensed Matter Physics (293 citations) and Electrical and Electronic Engineering (848 citations). Stephen McGill has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include J. L. Musfeldt, Michelle C. Carlson, George W. Rebok, Linda P. Fried, Chuang Zhang, Tatiana V. Brinzari, D. Semenov, Z. Valy Vardeny, Nihar Pradhan and Dali Sun. Their work appears in journals such as Physical Review B, Physical review. B., Nanoscale, Scientific Reports 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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