Daniel Wines

590 citations
22 papers · 401 · h-index 13

Impact in

Papers in

Daniel Wines

22 papers receiving 398 citations

Peers

Daniel Wines
Comparison fields: 5 of 41
  • Materials Chemistry 323
  • Electronic, Optical and Magnetic Materials 85
  • Condensed Matter Physics 52
  • Electrical and Electronic Engineering 106
  • Catalysis 12
Replace Ioannis Petousis with:
Ioannis Petousis United States
Michael Y. Toriyama United States
Renhai Wang China
Guangzong Xing United States
George Amolo Kenya
Demet Usanmaz Türkiye
Douglas du Boulay Japan
Amin Ur Rahman Pakistan
Nuno M. Fortunato Germany
Pino D’Amico Italy
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Wines

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Wines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202349
2 202034
3 202033
4 202333
5 202130
6 202029
7 202328
8 202028
9 202325
10 202019
11 202116
12 202515
13 202314
14 202210
15 20249
16 20219
17 20248
18 20244
19 20143
20 20253

About Daniel Wines

Daniel Wines is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Electrical and Electronic Engineering and Mechanical Engineering, having authored 22 papers that have together received 401 indexed citations. Recurring topics across this work include 2D Materials and Applications (11 papers), Machine Learning in Materials Science (8 papers), Heusler alloys: electronic and magnetic properties (5 papers), Chalcogenide Semiconductor Thin Films (3 papers), Perovskite Materials and Applications (3 papers), MXene and MAX Phase Materials (3 papers), Advanced Condensed Matter Physics (2 papers) and Nuclear Materials and Properties (2 papers). The work is most often cited by research in Materials Chemistry (323 citations), Electronic, Optical and Magnetic Materials (85 citations), Condensed Matter Physics (52 citations), Electrical and Electronic Engineering (106 citations) and Catalysis (12 citations). Daniel Wines has collaborated with scholars based in United States, Türkiye and Spain. Frequent co-authors include Can Ataca, Kamal Choudhary, Francesca Tavazza, Fatih Ersan, Kayahan Saritas, Kevin F. Garrity, Adam J. Biacchi, Tian Xie, L. Michael Hayden and P. LeClair. Their work appears in journals such as The Journal of Physical Chemistry C, ACS Applied Materials & Interfaces, The Journal of Physical Chemistry Letters, Applied Physics Reviews and Physical Chemistry Chemical Physics.

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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