A. Gavrin

2.9k citations
48 papers · 2.2k indexed · h-index 19

A. Gavrin

45 papers receiving 2.1k citations

Peers

A. Gavrin
Comparison fields: 5 of 117
  • Condensed Matter Physics 1.2k
  • Electronic, Optical and Magnetic Materials 752
  • Media Technology 260
  • Architecture 39
  • Computer Science Applications 106
Replace Leon Hsu with:
Leon Hsu United States
Jonte Bernhard Sweden
Michael Dubson United States
Angelica M. Stacy United States
U. Ganiel Israel
D. A. Bonn Canada
Yau Yuen Yeung Hong Kong
J. Mirecki Millunchick United States
Carlo Giovannella Italy
P. Häussler Germany
A. Gavrin relative to Leon Hsu United States Leon Hsu's profile →
Citations per field
00.5×3.2×
Leon Hsu · 1×
Citations per year

Countries citing papers authored by A. Gavrin

Since Specialization
Citations

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

Fields of papers citing papers by A. Gavrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20211
2
Normalizing computation through continuous student engagement in the undergraduate physics curriculum
20200
3 20201
4 20202
5 20191
6
Networks identify productive forum discussions
20181
7 20183
8 20183
9 20163
10 20062
11 20063
12 199535
13 199411
14 19921
15 199057
16 1988193
17 198833
18 198867
19 198736
20 198746

About A. Gavrin

A. Gavrin is a scholar working on Condensed Matter Physics, Developmental and Educational Psychology, Structural Biology, Architecture and Atomic and Molecular Physics, and Optics, having authored 48 papers that have together received 2.2k indexed citations. Recurring topics across this work include Magnetic properties of thin films (16 papers), Physics of Superconductivity and Magnetism (12 papers), Innovative Teaching and Learning Methods (9 papers), Theoretical and Computational Physics (9 papers), Advanced Condensed Matter Physics (8 papers), Online and Blended Learning (8 papers), Metallic Glasses and Amorphous Alloys (5 papers) and Magnetic Properties and Applications (5 papers). The work is most often cited by research in Condensed Matter Physics (1.2k citations), Electronic, Optical and Magnetic Materials (752 citations), Media Technology (260 citations), Architecture (39 citations) and Computer Science Applications (106 citations). A. Gavrin has collaborated with scholars based in United States. Frequent co-authors include C. L. Chien, Gregor Novak, Wolfgang Christian, Gang Xiao, Frederick H. Streitz, Marta Z. Cieplak, Y. W. Du, C. L. Chien, A. Bakhshai and Kyle Forinash. Their work appears in journals such as Journal of Applied Physics, Journal of Magnetism and Magnetic Materials, Applied Physics Letters, Physical review. B, Condensed matter and Physical Review 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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