Clara Nyby

1.5k total citations
12 papers, 400 citations indexed

About

Clara Nyby is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Spectroscopy. According to data from OpenAlex, Clara Nyby has authored 12 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 6 papers in Atomic and Molecular Physics, and Optics and 2 papers in Spectroscopy. Recurrent topics in Clara Nyby's work include Thermal properties of materials (3 papers), Machine Learning in Materials Science (3 papers) and Spectroscopy and Quantum Chemical Studies (2 papers). Clara Nyby is often cited by papers focused on Thermal properties of materials (3 papers), Machine Learning in Materials Science (3 papers) and Spectroscopy and Quantum Chemical Studies (2 papers). Clara Nyby collaborates with scholars based in United States, Germany and Hong Kong. Clara Nyby's co-authors include Aaron M. Lindenberg, Xiaofeng Qian, Edbert J. Sie, Hua Wang, Xiang Zhang, Siqi Wang, Jun Xiao, C. D. Pemmaraju, Thomas Devereaux and Ying Wang and has published in prestigious journals such as The Journal of Chemical Physics, Nano Letters and Advanced Functional Materials.

In The Last Decade

Clara Nyby

12 papers receiving 391 citations

Peers

Clara Nyby

MC

AMPO

EEE

BE

ME

Eunan J. McEniry Germany

Rinkle Juneja United States

Michael S. Sellers United States

Nico Klingner Germany

Isabelle Maurin France

Alexander J. Gabourie United States

Sebastian Rémi United States

V. Cagan France

Krzysztof Bartkowski Poland

Jacques Richard France

Eunan J. McEniry Germany

Clara Nyby

285 ×1.1

MC

172 ×1.1

AMPO

118 ×1.3

EEE

27 ×0.4

BE

119 ×2.6

ME

Citations per year, relative to Clara Nyby Clara Nyby (= 1×) peers Eunan J. McEniry

Countries citing papers authored by Clara Nyby

Since Specialization

Citations

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

Fields of papers citing papers by Clara Nyby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clara Nyby

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

All Works

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12 of 12 papers shown

1.

Sood, Aditya, Andrey D. Poletayev, Edbert J. Sie, et al.. (2024). Electrochemical Control of the Ultrafast Lattice Response of a Layered Semimetal. Advanced Science. 12(6). e2411344–e2411344. 1 indexed citations

2.

Luo, Duan, Baiyu Zhang, Edbert J. Sie, et al.. (2023). Ultrafast Optomechanical Strain in Layered GeS. Nano Letters. 23(6). 2287–2294. 11 indexed citations

3.

Borg, Christopher K. H., Eric S. Muckley, Clara Nyby, et al.. (2023). Quantifying the performance of machine learning models in materials discovery. Digital Discovery. 2(2). 327–338. 25 indexed citations

4.

Park, Suji, Bo Wang, Tiannan Yang, et al.. (2022). Light-Driven Ultrafast Polarization Manipulation in a Relaxor Ferroelectric. Nano Letters. 22(23). 9275–9282. 8 indexed citations

5.

Britz, Alexander, Andrew Attar, Xiang Zhang, et al.. (2021). Carrier-specific dynamics in 2H-MoTe2 observed by femtosecond soft x-ray absorption spectroscopy using an x-ray free-electron laser. Structural Dynamics. 8(1). 14501–14501. 16 indexed citations

6.

Nyby, Clara, Xiaolei Guo, James E. Saal, et al.. (2021). Electrochemical metrics for corrosion resistant alloys. Scientific Data. 8(1). 58–58. 76 indexed citations

7.

Xiao, Jun, Ying Wang, Hua Wang, et al.. (2020). Berry curvature memory through electrically driven stacking transitions. Nature Physics. 16(10). 1028–1034. 159 indexed citations

8.

Nyby, Clara, Aditya Sood, Peter Zalden, et al.. (2020). Visualizing Energy Transfer at Buried Interfaces in Layered Materials Using Picosecond X‐Rays. Advanced Functional Materials. 30(34). 16 indexed citations

9.

Nyby, Clara, Aditya Sood, Peter Zalden, et al.. (2020). Thermal Boundary Conductance: Visualizing Energy Transfer at Buried Interfaces in Layered Materials Using Picosecond X‐Rays (Adv. Funct. Mater. 34/2020). Advanced Functional Materials. 30(34). 1 indexed citations

10.

Nyby, Clara, Hong Zhang, Boyu Zhang, et al.. (2015). Room-temperature ballistic energy transport in molecules with repeating units. The Journal of Chemical Physics. 142(21). 212412–212412. 24 indexed citations

11.

Nyby, Clara, et al.. (2014). Fully automated dual-frequency three-pulse-echo 2DIR spectrometer accessing spectral range from 800 to 4000 wavenumbers. Review of Scientific Instruments. 85(8). 83109–83109. 40 indexed citations

12.

Nyby, Clara, et al.. (2014). Mid-IR beam direction stabilization scheme for vibrational spectroscopy, including dual-frequency 2DIR. Optics Express. 22(6). 6801–6801. 23 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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