Daniel J. Trainer

480 citations
21 papers · 375 · h-index 9

Impact in

Papers in

Daniel J. Trainer

20 papers receiving 375 citations

Peers

Daniel J. Trainer
Comparison fields: 5 of 42
  • Materials Chemistry 273
  • Condensed Matter Physics 45
  • Structural Biology 4
  • Atomic and Molecular Physics, and Optics 83
  • Electronic, Optical and Magnetic Materials 37
Replace Adam K. Budniak with:
Adam K. Budniak Israel
Matthias Meißner Germany
Xiaopeng Wang China
Qi Liang Lu China
Yohei Uemura Japan
Gen Long United States
Axel R. Persson Sweden
Maximilian Ammon Germany
Hung Wei Shiu Taiwan
Daniel J. Trainer relative to Adam K. Budniak Israel Adam K. Budniak's profile →
Citations per field
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Adam K. Budniak · 1×
Citations per year

Countries citing papers authored by Daniel J. Trainer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Trainer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202352
2 201849
3 201747
4 202143
5 202041
6 201937
7 202232
8 201921
9 201715
10 20226
11 20166
12 20215
13 20164
14 20244
15 20173
16 20233
17 20233
18 20182
19
Low temperature scanning tunneling microscopy and spectroscopy investigation of FeSe$_{\mathrm{1-x}}$S$_{\mathrm{x}}$ single crystals
20171
20 20161

About Daniel J. Trainer

Daniel J. Trainer is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Condensed Matter Physics and Electronic, Optical and Magnetic Materials, having authored 21 papers that have together received 375 indexed citations. Recurring topics across this work include Graphene research and applications (8 papers), 2D Materials and Applications (7 papers), MXene and MAX Phase Materials (5 papers), Topological Materials and Phenomena (3 papers), Semiconductor materials and devices (3 papers), Chalcogenide Semiconductor Thin Films (3 papers), Physics of Superconductivity and Magnetism (3 papers) and Iron-based superconductors research (3 papers). The work is most often cited by research in Materials Chemistry (273 citations), Condensed Matter Physics (45 citations), Structural Biology (4 citations), Atomic and Molecular Physics, and Optics (83 citations) and Electronic, Optical and Magnetic Materials (37 citations). Daniel J. Trainer has collaborated with scholars based in United States, Russia and Finland. Frequent co-authors include M. Iavarone, Xiaoxing Xi, F. Bobba, Saw‐Wai Hla, Baokai Wang, Jouko Nieminen, Arun Bansil, C. Di Giorgio, Xiaopeng Li and Yuan Zhang. Their work appears in journals such as ACS Nano, Scientific Reports, Journal of Physics D Applied Physics, Nano Letters and Advanced Science.

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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