Michael Bain

2.4k citations
66 papers · 905 · h-index 16

Impact in

Papers in

Michael Bain

61 papers receiving 848 citations

Peers

Michael Bain
Comparison fields: 5 of 112
  • Aerospace Engineering 333
  • Electronic, Optical and Magnetic Materials 209
  • Computer Science Applications 29
  • Microbiology 4
  • Electrical and Electronic Engineering 278
Replace He Jiang with:
He Jiang China
Tatsunori Hashimoto United States
Lingxiang Li China
Byung Cheol Lee South Korea
Sha Hu Sweden
Sotiris Ioannidis Greece
Paul Robertson United Kingdom
Michael Bain relative to He Jiang China He Jiang's profile →
Citations per field
00.5×9.7×
He Jiang · 1×
Citations per year

Countries citing papers authored by Michael Bain

Since Specialization
Citations

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

Fields of papers citing papers by Michael Bain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Bain, 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 Michael Bain Line = papers co-authored together Michael Bain 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 2015138
2 2013127
3 200792
4 201456
5 201449
6 200432
7 199128
8 200026
9
A User-Driven and Data-Driven Approach for Supporting Teachers in Reflection and Adaptation of Adaptive Tutorials
200925
10 201425
11 202021
12 200620
13 201018
14 200118
15 201117
16 201816
17 200515
18 200911
19 201811
20 200310

About Michael Bain

Michael Bain is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Molecular Biology, Information Systems and Atomic and Molecular Physics, and Optics, having authored 66 papers that have together received 905 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (6 papers), Advanced Antenna and Metasurface Technologies (6 papers), 3D IC and TSV technologies (5 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers), Semiconductor materials and devices (5 papers), Biomedical Text Mining and Ontologies (5 papers), Consumer Market Behavior and Pricing (4 papers) and Semiconductor materials and interfaces (4 papers). The work is most often cited by research in Aerospace Engineering (333 citations), Electronic, Optical and Magnetic Materials (209 citations), Computer Science Applications (29 citations), Microbiology (4 citations) and Electrical and Electronic Engineering (278 citations). Michael Bain has collaborated with scholars based in Australia, United Kingdom and Spain. Frequent co-authors include Paul Baine, José A. Encinar, R. Dickie, R. Cahill, Mariano Barba, Gerardo Pérez‐Palomino, Giovanni Toso, Bruno Gaëta, Andrew M. Collins and H.S. Gamble. Their work appears in journals such as IEEE Transactions on Antennas and Propagation, Machine Learning, Environment and Planning B Urban Analytics and City Science, IEEE Transactions on Electron Devices and Microelectronic Engineering.

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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