Daniel Olds

1.5k total citations
70 papers, 1.1k citations indexed

About

Daniel Olds is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Radiation. According to data from OpenAlex, Daniel Olds has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Materials Chemistry, 20 papers in Electrical and Electronic Engineering and 10 papers in Radiation. Recurrent topics in Daniel Olds's work include X-ray Diffraction in Crystallography (13 papers), Advancements in Battery Materials (11 papers) and Nuclear Physics and Applications (9 papers). Daniel Olds is often cited by papers focused on X-ray Diffraction in Crystallography (13 papers), Advancements in Battery Materials (11 papers) and Nuclear Physics and Applications (9 papers). Daniel Olds collaborates with scholars based in United States, United Kingdom and China. Daniel Olds's co-authors include Katharine Page, Xiaowei Teng, Milinda Abeykoon, Gihan Kwon, Xiaoqiang Shan, Jue Liu, Peter F. Peterson, Geneva Laurita, Douglas H. Fabini and Jerry Hu and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel Olds

65 papers receiving 1.1k 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 Olds United States 20 654 383 172 166 93 70 1.1k
Nguyễn Thị Hiền Vietnam 21 647 1.0× 385 1.0× 265 1.5× 93 0.6× 68 0.7× 96 1.1k
Xiangdong Liu China 23 1.4k 2.1× 458 1.2× 270 1.6× 208 1.3× 112 1.2× 159 2.0k
Yuan Ren China 19 776 1.2× 547 1.4× 122 0.7× 119 0.7× 128 1.4× 121 1.3k
Song Yue China 20 730 1.1× 484 1.3× 217 1.3× 53 0.3× 51 0.5× 67 1.1k
Junfeng Chen China 24 1.1k 1.6× 581 1.5× 188 1.1× 359 2.2× 112 1.2× 104 2.0k
Penghui Chen China 17 311 0.5× 734 1.9× 364 2.1× 121 0.7× 50 0.5× 87 1.2k
Jon Kellar United States 22 818 1.3× 542 1.4× 145 0.8× 309 1.9× 140 1.5× 85 1.9k
Evgeny V. Podryabinkin Russia 13 1.5k 2.3× 330 0.9× 86 0.5× 195 1.2× 72 0.8× 21 1.7k
Xiaoxin Wang China 17 665 1.0× 291 0.8× 75 0.4× 95 0.6× 71 0.8× 46 1.1k

Countries citing papers authored by Daniel Olds

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Olds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Olds

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Olds. A scholar is included among the top collaborators of Daniel Olds 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 Olds. Daniel Olds 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.
Menezes, Rafael Natal Lima de, Liang Zhang, Daniel Olds, et al.. (2025). Microstructure‐Dependent Sodium Storage Mechanisms in Hard Carbon Anodes. Small. 21(30). e2505561–e2505561. 5 indexed citations
2.
Zhang, Xinle, et al.. (2025). MXene-Derived Potassium-Preintercalated Bilayered Vanadium Oxide Nanostructures for Cathodes in Nonaqueous K-Ion Batteries. ACS Applied Nano Materials. 8(15). 7582–7595. 2 indexed citations
3.
Cunningham, William, Eric Lang, David Sprouster, et al.. (2024). Alloying effects on the microstructure and properties of laser additively manufactured tungsten materials. Materials Science and Engineering A. 914. 147110–147110. 5 indexed citations
4.
Olds, Daniel, et al.. (2024). Large language models for whole-learner support: opportunities and challenges. Frontiers in Artificial Intelligence. 7. 1460364–1460364. 10 indexed citations
5.
Olds, Daniel, et al.. (2024). Facile Integration of Robots into Experimental Orchestration at Scientific User Facilities. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 9578–9584. 1 indexed citations
6.
Barnes, Pete, Hong‐Xing Zhang, Corey M. Efaw, et al.. (2023). Calendar life of lithium metal batteries: Accelerated aging and failure analysis. Energy storage materials. 65. 103147–103147. 13 indexed citations
7.
Sprouster, David, J. Ronald Gentile, Jason R. Trelewicz, et al.. (2023). Sintered nanostructured alloys for advanced fusion energy applications. Journal of Nuclear Materials. 586. 154683–154683. 3 indexed citations
8.
Evans, Hayden A., et al.. (2022). Vacancy-Driven Disorder and Elevated Dielectric Response in the Pyrochlore Pb1.5Nb2O6.5. Inorganic Chemistry. 61(46). 18601–18610. 3 indexed citations
9.
Zhao, Chonghang, Marcus M. Noack, Jiun-Han Chen, et al.. (2022). Machine-learning for designing nanoarchitectured materials by dealloying. Communications Materials. 3(1). 9 indexed citations
10.
Bailey, Owen, et al.. (2022). Compositional influence of local and long-range polarity in the frustrated pyrochlore system Bi2−xRExTi2O7(RE = Y3+,Ho3+). Journal of Materials Chemistry C. 10(37). 13886–13895. 3 indexed citations
11.
Maffettone, Phillip M., et al.. (2022). Machine learning enabling high-throughput and remote operations at large-scale user facilities. Digital Discovery. 1(4). 413–426. 12 indexed citations
12.
Laurita, Geneva, Quintin N. Meier, Daniel Olds, et al.. (2022). Local structure and its implications for the relaxor ferroelectric Cd2Nb2O7. Physical Review Research. 4(3). 2 indexed citations
13.
Maffettone, Phillip M., et al.. (2021). Gaming the beamlines—employing reinforcement learning to maximize scientific outcomes at large-scale user facilities. Machine Learning Science and Technology. 2(2). 25025–25025. 10 indexed citations
14.
Olds, Daniel, Matthew E. Helgeson, Κωνσταντίνος Ντέτσικας, et al.. (2020). Microstructural characterization of a star-linear polymer blend under shear flow by using rheo-SANS. Journal of Rheology. 64(3). 663–672. 9 indexed citations
15.
Campbell, Stuart I., Daniel Allan, Andi Barbour, et al.. (2020). Outlook for artificial intelligence and machine learning at the NSLS-II. Machine Learning Science and Technology. 2(1). 13001–13001. 15 indexed citations
16.
Usher, Tedi‐Marie, Daniel Olds, Jue Liu, & Katharine Page. (2018). A numerical method for deriving shape functions of nanoparticles for pair distribution function refinements. Acta Crystallographica Section A Foundations and Advances. 74(4). 322–331. 26 indexed citations
17.
Liu, Jue, Daniel Olds, Rui Peng, et al.. (2017). Quantitative Analysis of the Morphology of {101} and {001} Faceted Anatase TiO2 Nanocrystals and Its Implication on Photocatalytic Activity. Chemistry of Materials. 29(13). 5591–5604. 65 indexed citations
18.
Fabini, Douglas H., Ting Ann Siaw, Constantinos C. Stoumpos, et al.. (2017). Universal Dynamics of Molecular Reorientation in Hybrid Lead Iodide Perovskites. Journal of the American Chemical Society. 139(46). 16875–16884. 148 indexed citations
19.
Olds, Daniel, Katharine Page, Peter F. Peterson, et al.. (2017). A high precision gas flow cell for performing in situ neutron studies of local atomic structure in catalytic materials. Review of Scientific Instruments. 88(3). 34101–34101. 8 indexed citations
20.
Olds, Daniel, Keith V. Lawler, Jue Liu, et al.. (2017). Capturing the Details of N2 Adsorption in Zeolite X Using Stroboscopic Isotope Contrasted Neutron Total Scattering. Chemistry of Materials. 30(1). 296–302. 10 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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