Daniel Wines

627 citations
23 papers · 467 · h-index 14

Impact in

Papers in

Daniel Wines

23 papers receiving 461 citations

Peers

Daniel Wines
Comparison fields: 5 of 44
  • Materials Chemistry 370
  • Electronic, Optical and Magnetic Materials 85
  • Condensed Matter Physics 52
  • Metals and Alloys 5
  • Electrical and Electronic Engineering 111
Replace Guangzong Xing with:
Guangzong Xing China
Michael Y. Toriyama United States
Pino D’Amico Italy
Nuno M. Fortunato Germany
Irina Kalish United States
Ellis Kennedy United States
Michael Sluydts Belgium
Alexandru Bogdan Georgescu United States
Bruno Focassio Brazil
Susmit Kumar Norway
Daniel Wines relative to Guangzong Xing China Guangzong Xing's profile →
Citations per field
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Guangzong Xing · 1×
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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202349
2 202341
3 202439
4 202037
5 202034
6 202130
7 202030
8 202329
9 202028
10 202327
11 202019
12 202516
13 202116
14 202315
15 202213
16 202412
17 202411
18 202110
19 20143
20 20253

About Daniel Wines

Daniel Wines is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Inorganic Chemistry and Metals and Alloys, having authored 23 papers that have together received 467 indexed citations. Recurring topics across this work include 2D Materials and Applications (12 papers), Machine Learning in Materials Science (9 papers), Heusler alloys: electronic and magnetic properties (4 papers), Electronic and Structural Properties of Oxides (3 papers), Perovskite Materials and Applications (3 papers), Chalcogenide Semiconductor Thin Films (3 papers), MXene and MAX Phase Materials (3 papers) and Advanced Condensed Matter Physics (2 papers). The work is most often cited by research in Materials Chemistry (370 citations), Electronic, Optical and Magnetic Materials (85 citations), Condensed Matter Physics (52 citations), Metals and Alloys (5 citations) and Electrical and Electronic Engineering (111 citations). Daniel Wines has collaborated with scholars based in United States, Türkiye and Canada. Frequent co-authors include Kamal Kumar Choudhary, Can Ataca, Fatih Ersan, Francesca Tavazza, Kayahan Saritas, Adam J. Biacchi, Kevin F. Garrity, Tian Xie, L. Michael Hayden and Brian DeCost. Their work appears in journals such as The Journal of Physical Chemistry C, ACS Applied Materials & Interfaces, Applied Physics Reviews, The Journal of Physical Chemistry Letters and ACS Materials 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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