Nina Andrejevic

553 total citations
14 papers, 423 citations indexed

About

Nina Andrejevic is a scholar working on Materials Chemistry, Condensed Matter Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Nina Andrejevic has authored 14 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 4 papers in Condensed Matter Physics and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Nina Andrejevic's work include Machine Learning in Materials Science (6 papers), Advanced Condensed Matter Physics (3 papers) and Advanced Thermoelectric Materials and Devices (3 papers). Nina Andrejevic is often cited by papers focused on Machine Learning in Materials Science (6 papers), Advanced Condensed Matter Physics (3 papers) and Advanced Thermoelectric Materials and Devices (3 papers). Nina Andrejevic collaborates with scholars based in United States, Spain and Germany. Nina Andrejevic's co-authors include Mingda Li, Elliot Padgett, David A. Muller, Thanh Nguyen, Zhongyi Liu, Koji Moriyama, Ratandeep S. Kukreja, Anusorn Kongkanand, Wenbin Gu and Thomas E. Moylan and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.

In The Last Decade

Nina Andrejevic

14 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nina Andrejevic United States 8 253 143 121 86 33 14 423
Heinz Junkes Germany 6 225 0.9× 63 0.4× 36 0.3× 105 1.2× 47 1.4× 13 416
Stefaan Vandendriessche Belgium 12 151 0.6× 113 0.8× 26 0.2× 170 2.0× 34 1.0× 28 500
Tao Zheng China 13 86 0.3× 111 0.8× 23 0.2× 45 0.5× 92 2.8× 59 439
Bingya Hou United States 14 319 1.3× 158 1.1× 264 2.2× 104 1.2× 7 0.2× 19 550
Dorota Siewert Switzerland 10 255 1.0× 261 1.8× 30 0.2× 181 2.1× 10 0.3× 18 465
Hongqing Shi Australia 15 518 2.0× 179 1.3× 101 0.8× 142 1.7× 47 1.4× 26 659
Yanqi Luo United States 14 600 2.4× 748 5.2× 48 0.4× 54 0.6× 38 1.2× 29 892
Adam K. Budniak Israel 10 259 1.0× 166 1.2× 22 0.2× 76 0.9× 17 0.5× 20 358
Sebastian Schnur Germany 7 281 1.1× 285 2.0× 381 3.1× 231 2.7× 14 0.4× 8 721
Mikkel Jørgensen Sweden 10 543 2.1× 63 0.4× 259 2.1× 116 1.3× 105 3.2× 14 686

Countries citing papers authored by Nina Andrejevic

Since Specialization
Citations

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

Fields of papers citing papers by Nina Andrejevic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Andrejevic

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Andrejevic. A scholar is included among the top collaborators of Nina Andrejevic 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 Nina Andrejevic. Nina Andrejevic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Andrejevic, Nina, Xiang Fu, Tommi Jaakkola, et al.. (2024). Virtual node graph neural network for full phonon prediction. Nature Computational Science. 4(7). 522–531. 10 indexed citations
2.
Andrejevic, Nina, et al.. (2022). Machine learning magnetism classifiers from atomic coordinates. iScience. 25(10). 105192–105192. 17 indexed citations
3.
Andrejevic, Nina. (2022). Machine Learning-Augmented Spectroscopies for Intelligent Materials Design. Springer theses. 1 indexed citations
4.
Shen, Xiaozhe, Nina Andrejevic, Duan Luo, et al.. (2022). Panoramic Mapping of Phonon Transport from Ultrafast Electron Diffraction and Scientific Machine Learning. Advanced Materials. 35(2). e2206997–e2206997. 3 indexed citations
5.
Andrejevic, Nina, B. Andrei Bernevig, Nicolas Regnault, et al.. (2022). Machine‐Learning Spectral Indicators of Topology. Advanced Materials. 34(49). e2204113–e2204113. 22 indexed citations
6.
Andrejevic, Nina, Thanh Nguyen, Ling‐Jie Zhou, et al.. (2022). Elucidating proximity magnetism through polarized neutron reflectometry and machine learning. Applied Physics Reviews. 9(1). 14 indexed citations
7.
Nguyen, Thanh, Nina Andrejevic, Hoi Chun Po, et al.. (2021). Signature of Many-Body Localization of Phonons in Strongly Disordered Superlattices. Nano Letters. 21(17). 7419–7425. 5 indexed citations
8.
Andrejevic, Nina, Tess Smidt, Zhiwei Ding, et al.. (2021). Machine Learning: Direct Prediction of Phonon Density of States With Euclidean Neural Networks (Adv. Sci. 12/2021). Advanced Science. 8(12). 6 indexed citations
9.
Andrejevic, Nina, Thanh Nguyen, R. Patrick Xian, et al.. (2021). Machine learning on neutron and x-ray scattering and spectroscopies. Chemical Physics Reviews. 2(3). 79 indexed citations
10.
Han, Fei, Nina Andrejevic, Thanh Nguyen, et al.. (2020). Quantized thermoelectric Hall effect induces giant power factor in a topological semimetal. Nature Communications. 11(1). 6167–6167. 66 indexed citations
11.
Han, Fei, Nina Andrejevic, & Mingda Li. (2018). A Hidden Dimension to Explore New Thermoelectrics. Joule. 2(1). 16–18. 5 indexed citations
12.
Padgett, Elliot, Nina Andrejevic, Zhongyi Liu, et al.. (2018). Editors' Choice—Connecting Fuel Cell Catalyst Nanostructure and Accessibility Using Quantitative Cryo-STEM Tomography. Journal of The Electrochemical Society. 165(3). F173–F180. 128 indexed citations
13.
Jiang, Yi, Nina Andrejevic, Elliot Padgett, & David A. Muller. (2016). An “Extra Dimension” in Electron Tomography: Automatic Parameter Determination for Next-generation Reconstruction Methods. Microscopy and Microanalysis. 22(S3). 556–557. 1 indexed citations
14.
Padgett, Elliot, Kwan Wee Tan, Robert Hovden, et al.. (2015). Multicomponent Nanomaterials with Complex Networked Architectures from Orthogonal Degradation and Binary Metal Backfilling in ABC Triblock Terpolymers. Journal of the American Chemical Society. 137(18). 6026–6033. 66 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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