Daniel Wines

543 total citations
22 papers, 358 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 358 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, Kevin F. Garrity, Adam J. Biacchi, Tian Xie, L. Michael Hayden and Arunava Gupta 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 350 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Wines United States 12 297 101 80 48 43 22 358
Amin Ur Rahman Pakistan 12 218 0.7× 115 1.1× 122 1.5× 48 1.0× 74 1.7× 46 352
Hojat Allah Badehian Iran 10 282 0.9× 98 1.0× 65 0.8× 24 0.5× 57 1.3× 31 370
Susmit Kumar Norway 11 162 0.5× 118 1.2× 143 1.8× 47 1.0× 53 1.2× 23 322
Sunny Gupta United States 15 525 1.8× 229 2.3× 60 0.8× 35 0.7× 129 3.0× 20 616
Rita John India 9 294 1.0× 156 1.5× 114 1.4× 21 0.4× 145 3.4× 23 394
V. F. Nasretdinova Russia 10 200 0.7× 112 1.1× 182 2.3× 58 1.2× 72 1.7× 22 342
Rinkle Juneja United States 14 430 1.4× 187 1.9× 85 1.1× 47 1.0× 103 2.4× 24 519
Fangguang Kuang China 12 157 0.5× 93 0.9× 122 1.5× 23 0.5× 108 2.5× 33 344
Douglas du Boulay Japan 11 216 0.7× 176 1.7× 137 1.7× 60 1.3× 61 1.4× 26 413
Jialiang Li China 12 236 0.8× 137 1.4× 77 1.0× 107 2.2× 144 3.3× 48 421

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

20 of 20 papers shown
1.
Wines, Daniel, Anouar Benali, Paul R. C. Kent, et al.. (2025). Toward improved property prediction of 2D materials using many-body quantum Monte Carlo methods. Applied Physics Reviews. 12(3).
2.
Wines, Daniel & Kamal Choudhary. (2025). CHIPS-FF: Evaluating Universal Machine Learning Force Fields for Material Properties. ACS Materials Letters. 7(6). 2105–2114. 10 indexed citations
3.
Li, Youjia, Vishu Gupta, Kamal Choudhary, et al.. (2024). Hybrid-LLM-GNN: integrating large language models and graph neural networks for enhanced materials property prediction. Digital Discovery. 4(2). 376–383. 6 indexed citations
4.
Wines, Daniel, et al.. (2024). Modeling Chemical Exfoliation of Non-van der Waals Chromium Sulfides by Machine Learning Interatomic Potentials and Monte Carlo Simulations. The Journal of Physical Chemistry C. 128(3). 1267–1283. 3 indexed citations
5.
Wines, Daniel & Kamal Choudhary. (2024). Data-driven design of high pressure hydride superconductors using DFT and deep learning. SHILAP Revista de lepidopterología. 3(2). 25602–25602. 8 indexed citations
6.
Wines, Daniel, Ramya Gurunathan, Kevin F. Garrity, et al.. (2023). Recent progress in the JARVIS infrastructure for next-generation data-driven materials design. Applied Physics Reviews. 10(4). 23 indexed citations
7.
Wines, Daniel, et al.. (2023). A Quantum Monte Carlo Study of the Structural, Energetic, and Magnetic Properties of Two-Dimensional H and T Phase VSe2. The Journal of Physical Chemistry Letters. 14(14). 3553–3560. 11 indexed citations
8.
Wines, Daniel, Kamal Choudhary, & Francesca Tavazza. (2023). Systematic DFT+U and Quantum Monte Carlo Benchmark of Magnetic Two-Dimensional (2D) CrX3 (X = I, Br, Cl, F). The Journal of Physical Chemistry C. 127(2). 1176–1188. 25 indexed citations
9.
Wines, Daniel, Tian Xie, & Kamal Choudhary. (2023). Inverse Design of Next-Generation Superconductors Using Data-Driven Deep Generative Models. The Journal of Physical Chemistry Letters. 14(29). 6630–6638. 30 indexed citations
10.
Wines, Daniel, Kayahan Saritas, & Can Ataca. (2022). Intrinsic Ferromagnetism of Two-Dimensional (2D) MnO2 Revisited: A Many-Body Quantum Monte Carlo and DFT+U Study. The Journal of Physical Chemistry C. 126(13). 5813–5821. 9 indexed citations
11.
Wines, Daniel, Fatih Ersan, Jia Yan Law, et al.. (2022). Experimental and Theoretical Study on the Possible Half-Metallic Behavior of Co2-Xvxfege Heusler Alloys. SSRN Electronic Journal.
12.
Wines, Daniel, Bin Chen, Kentaro Yumigeta, et al.. (2021). Abnormal Phase Transition and Band Renormalization of Guanidinium-Based Organic–Inorganic Hybrid Perovskite. ACS Applied Materials & Interfaces. 13(37). 44964–44971. 15 indexed citations
13.
Wines, Daniel, et al.. (2021). Positive and Negative Photoconductivity in Monolayer MoS2 as a Function of Physisorbed Oxygen. The Journal of Physical Chemistry C. 125(16). 8712–8718. 28 indexed citations
14.
Wines, Daniel, Kayahan Saritas, & Can Ataca. (2021). A pathway toward high-throughput quantum Monte Carlo simulations for alloys: A case study of two-dimensional (2D) GaSxSe1−x. The Journal of Chemical Physics. 155(19). 194112–194112. 9 indexed citations
15.
Wines, Daniel, et al.. (2020). Electronic properties of bare and functionalized two-dimensional (2D) tellurene structures. Physical Chemistry Chemical Physics. 22(12). 6727–6737. 34 indexed citations
16.
Wines, Daniel, Fatih Ersan, & Can Ataca. (2020). Engineering the Electronic, Thermoelectric, and Excitonic Properties of Two-Dimensional Group-III Nitrides through Alloying for Optoelectronic Devices (B1–xAlxN, Al1–xGaxN, and Ga1–xInxN). ACS Applied Materials & Interfaces. 12(41). 46416–46428. 29 indexed citations
17.
Wines, Daniel, et al.. (2020). Effect of V substitution on structural, magnetic, transport and mechanical properties of the half-metal-type Heusler alloy Co 2 FeGe. Bulletin of the American Physical Society. 1 indexed citations
18.
Wines, Daniel, Kayahan Saritas, & Can Ataca. (2020). A first-principles Quantum Monte Carlo study of two-dimensional (2D) GaSe. Maryland Shared Open Access Repository (USMAI Consortium). 25 indexed citations
19.
Wines, Daniel, Zhong Li, Fatih Ersan, et al.. (2020). Influence of Cr-substitution on the structural, magnetic, electron transport, and mechanical properties of Fe3−Cr Ge Heusler alloys. Journal of Magnetism and Magnetic Materials. 521. 167398–167398. 18 indexed citations
20.
Wines, Daniel, et al.. (2014). “Hot Hand” in the National Basketball Association Point Spread Betting Market: A 34-Year Analysis. International Journal of Financial Studies. 2(4). 359–370. 3 indexed citations

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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