Daniel Wines

51 total papers · 523 total citations
22 papers, 345 citations indexed

About

Daniel Wines is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Condensed Matter Physics. According to data from OpenAlex, Daniel Wines has authored 22 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Materials Chemistry, 7 papers in Electronic, Optical and Magnetic Materials and 4 papers in Condensed Matter Physics. Recurrent topics in Daniel Wines's work include 2D Materials and Applications (11 papers), Machine Learning in Materials Science (8 papers) and Heusler alloys: electronic and magnetic properties (5 papers). Daniel Wines is often cited by papers focused on 2D Materials and Applications (11 papers), Machine Learning in Materials Science (8 papers) and Heusler alloys: electronic and magnetic properties (5 papers). Daniel Wines collaborates with scholars based in United States, Türkiye and Spain. Daniel Wines's co-authors include Can Ataca, Kamal Choudhary, Francesca Tavazza, Fatih Ersan, Kayahan Saritas, Adam J. Biacchi, Kevin F. Garrity, Tian Xie, L. Michael Hayden and P. LeClair and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Daniel Wines

20 papers receiving 333 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daniel Wines	288	98	79	46	42	22	345
Hojat Allah Badehian	280 1.0×	98 1.0×	65 0.8×	24 0.5×	56 1.3×	31	368
Lili Wang	144 0.5×	79 0.8×	61 0.8×	31 0.7×	23 0.5×	27	334
Sérgio L. L. M. Ramos	260 0.9×	87 0.9×	97 1.2×	31 0.7×	23 0.5×	20	338
Bhalchandra S. Pujari	209 0.7×	104 1.1×	42 0.5×	26 0.6×	119 2.8×	28	359
Kyle Michel	322 1.1×	99 1.0×	19 0.2×	44 1.0×	32 0.8×	20	384
Thomas Bernert	177 0.6×	98 1.0×	133 1.7×	47 1.0×	26 0.6×	24	329
Binhua Chu	284 1.0×	60 0.6×	62 0.8×	45 1.0×	64 1.5×	34	381
Samad Hajinazar	296 1.0×	68 0.7×	37 0.5×	62 1.3×	56 1.3×	14	349
V. F. Nasretdinova	197 0.7×	109 1.1×	181 2.3×	58 1.3×	72 1.7×	22	339
Anh Pham	288 1.0×	110 1.1×	106 1.3×	60 1.3×	100 2.4×	28	352

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-authorship network of co-authors of Daniel Wines

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Wines. A scholar is included among the top collaborators of Daniel Wines based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Wines. Daniel Wines is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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