C. Daniel Freeman

678 total citations
23 papers, 282 citations indexed

About

C. Daniel Freeman is a scholar working on Atomic and Molecular Physics, and Optics, Spectroscopy and Molecular Biology. According to data from OpenAlex, C. Daniel Freeman has authored 23 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atomic and Molecular Physics, and Optics, 7 papers in Spectroscopy and 6 papers in Molecular Biology. Recurrent topics in C. Daniel Freeman's work include Stochastic Gradient Optimization Techniques (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Quantum and electron transport phenomena (3 papers). C. Daniel Freeman is often cited by papers focused on Stochastic Gradient Optimization Techniques (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Quantum and electron transport phenomena (3 papers). C. Daniel Freeman collaborates with scholars based in United States, Canada and Sweden. C. Daniel Freeman's co-authors include K. Birgitta Whaley, Daniel S. Levine, Diptarka Hait, Martin Head‐Gordon, Norm M. Tubman, Kelly M. Hines, Joan Bruna, Luke Metz, Chris M. Herdman and Shainaz M. Landge and has published in prestigious journals such as The Journal of Chemical Physics, Physical Review B and Physical Chemistry Chemical Physics.

In The Last Decade

C. Daniel Freeman

21 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Daniel Freeman United States 9 124 72 63 52 50 23 282
Andrey Asadchev United States 8 179 1.4× 105 1.5× 29 0.5× 78 1.5× 26 0.5× 11 312
Stefano Pasini Germany 14 254 2.0× 60 0.8× 143 2.3× 92 1.8× 61 1.2× 40 512
Julian Yarkony United States 5 186 1.5× 42 0.6× 34 0.5× 87 1.7× 8 0.2× 7 280
Robert Q. Topper United States 9 170 1.4× 52 0.7× 13 0.2× 82 1.6× 82 1.6× 14 314
Valerio Rizzi Switzerland 13 153 1.2× 59 0.8× 46 0.7× 198 3.8× 280 5.6× 27 520
Aurelio Rodrı́guez Spain 12 188 1.5× 114 1.6× 9 0.1× 78 1.5× 77 1.5× 21 437
J. Emiliano Deustua United States 8 166 1.3× 35 0.5× 30 0.5× 63 1.2× 15 0.3× 10 207
Ioannis N. Demetropoulos Greece 11 112 0.9× 67 0.9× 45 0.7× 56 1.1× 84 1.7× 34 434
Jason Nguyen United States 10 475 3.8× 107 1.5× 138 2.2× 36 0.7× 20 0.4× 17 628
Michele Sclafani Austria 10 179 1.4× 63 0.9× 35 0.6× 48 0.9× 31 0.6× 12 265

Countries citing papers authored by C. Daniel Freeman

Since Specialization
Citations

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

Fields of papers citing papers by C. Daniel Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Daniel Freeman

This figure shows the co-authorship network connecting the top 25 collaborators of C. Daniel Freeman. A scholar is included among the top collaborators of C. Daniel Freeman 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 C. Daniel Freeman. C. Daniel Freeman 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.
Kittredge, Audrey K., et al.. (2025). Mobile language app learners’ self-efficacy increases after using generative AI. Frontiers in Education. 10. 2 indexed citations
2.
Fletcher, Joshua R., Amanda Hanna, C. Daniel Freeman, et al.. (2025). Commensal-derived short-chain fatty acids disrupt lipid membrane homeostasis in Staphylococcus aureus. mBio. 17(1). e0139225–e0139225.
3.
Freeman, C. Daniel, et al.. (2025). Photophysical investigation of phenanthrene derived 1,2,3-triazole molecule in non-ionic and cationic micellar environments. Journal of Molecular Liquids. 423. 126998–126998.
4.
5.
Zhu, Xinghao, Wenzhao Lian, Bodi Yuan, C. Daniel Freeman, & Masayoshi Tomizuka. (2023). Allowing Safe Contact in Robotic Goal-Reaching: Planning and Tracking in Operational and Null Spaces. 8120–8126. 1 indexed citations
6.
Freeman, C. Daniel, et al.. (2021). Revealing Fatty Acid Heterogeneity in Staphylococcal Lipids with Isotope Labeling and RPLC–IM–MS. Journal of the American Society for Mass Spectrometry. 32(9). 2376–2385. 10 indexed citations
7.
Tubman, Norm M., C. Daniel Freeman, Daniel S. Levine, et al.. (2020). Modern Approaches to Exact Diagonalization and Selected Configuration Interaction with the Adaptive Sampling CI Method. Journal of Chemical Theory and Computation. 16(4). 2139–2159. 130 indexed citations
8.
Freeman, C. Daniel, et al.. (2020). Recent applications of mass spectrometry in bacterial lipidomics. Analytical and Bioanalytical Chemistry. 412(24). 5935–5943. 22 indexed citations
9.
Landge, Shainaz M., et al.. (2019). Rationally designed phenanthrene derivatized triazole as a dual chemosensor for fluoride and copper recognition. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 228. 117758–117758. 21 indexed citations
10.
Metz, Luke, et al.. (2018). Learned optimizers that outperform SGD on wall-clock and validation loss. arXiv (Cornell University). 3 indexed citations
11.
Metz, Luke, et al.. (2018). Understanding and correcting pathologies in the training of learned optimizers. arXiv (Cornell University). 4556–4565. 12 indexed citations
12.
Freeman, C. Daniel, Mohan Sarovar, Chris M. Herdman, & K. Birgitta Whaley. (2018). Stable quantum memories with limited measurement. Physical review. A. 98(3). 1 indexed citations
13.
Freeman, C. Daniel, Chris M. Herdman, & K. Birgitta Whaley. (2017). Engineering autonomous error correction in stabilizer codes at finite temperature. Physical review. A. 96(1). 5 indexed citations
14.
Freeman, C. Daniel & Joan Bruna. (2016). Topology and Geometry of Deep Rectified Network Optimization Landscapes. arXiv (Cornell University). 5 indexed citations
15.
Freeman, C. Daniel & Joan Bruna. (2016). Topology and Geometry of Half-Rectified Network Optimization. arXiv (Cornell University). 10 indexed citations
16.
Freeman, C. Daniel, et al.. (2014). Relaxation dynamics of the toric code in contact with a thermal reservoir: Finite-size scaling in a low-temperature regime. Physical Review B. 90(13). 9 indexed citations
17.
Grubb, Michael P., et al.. (2013). Experimental and theoretical investigation of correlated fine structure branching ratios arising from state-selected predissociation of BrO (A2Π3/2). Physical Chemistry Chemical Physics. 16(2). 607–615. 1 indexed citations
18.
Grubb, Michael P., et al.. (2011). A method for the determination of speed-dependent semi-classical vector correlations from sliced image anisotropies. The Journal of Chemical Physics. 135(9). 94201–94201. 17 indexed citations
19.
Freeman, C. Daniel, et al.. (1974). Characterization of Amides and Ureas by Proton Magnetic Resonance Spectra of Hexamethylphosphoramide Solutions. Applied Spectroscopy. 28(2). 197–199. 3 indexed citations
20.
Freeman, C. Daniel, et al.. (1973). Determination of Serum Calcium by Use of an AutoAnalyzer I-II Hybrid. Clinical Chemistry. 19(5). 516–520. 4 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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2026