Chris Wolverton

48.7k total citations · 15 hit papers
411 papers, 40.4k citations indexed

About

Chris Wolverton is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Chris Wolverton has authored 411 papers receiving a total of 40.4k indexed citations (citations by other indexed papers that have themselves been cited), including 307 papers in Materials Chemistry, 125 papers in Electrical and Electronic Engineering and 67 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Chris Wolverton's work include Advanced Thermoelectric Materials and Devices (88 papers), Machine Learning in Materials Science (68 papers) and Advancements in Battery Materials (59 papers). Chris Wolverton is often cited by papers focused on Advanced Thermoelectric Materials and Devices (88 papers), Machine Learning in Materials Science (68 papers) and Advancements in Battery Materials (59 papers). Chris Wolverton collaborates with scholars based in United States, China and South Korea. Chris Wolverton's co-authors include Mercouri G. Kanatzidis, Vinayak P. Dravid, Ctirad Uher, Vidvuds Ozoliņš, Li‐Dong Zhao, James E. Saal, Gangjian Tan, Shiqiang Hao, Muratahan Aykol and Bryce Meredig and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Chris Wolverton

404 papers receiving 39.7k citations

Hit Papers

Ultralow thermal conductivity and high thermoelectric fig... 2013 2026 2017 2021 2014 2013 2015 2015 2013 1000 2.0k 3.0k 4.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Ultralow thermal conductivity and high thermoelectric figure of merit in SnSe crystals
    2014 4.3k citations Gangjian Tan, Ctirad Uher et al. profile →
  2. Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD)
    2013 1.8k citations Chris Wolverton et al. profile →
  3. Ultrahigh power factor and thermoelectric performance in hole-doped single-crystal SnSe
    2015 1.8k citations Gangjian Tan, Shiqiang Hao et al. profile →
  4. The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies
    2015 1.7k citations Chris Wolverton et al. profile →
  5. All-scale hierarchical thermoelectrics: MgTe in PbTe facilitates valence band convergence and suppresses bipolar thermal transport for high performance
    2013 678 citations Shiqiang Hao, Ctirad Uher et al. profile →
  6. Recent advances and applications of deep learning methods in materials science
    2022 652 citations Chris Wolverton et al. profile →
  7. High Thermoelectric Performance of p-Type SnTe via a Synergistic Band Engineering and Nanostructuring Approach
    2014 591 citations Gangjian Tan, Chris Wolverton et al. Journal of the American Chemical Society profile →
  8. Non-equilibrium processing leads to record high thermoelectric figure of merit in PbTe–SrTe
    2016 569 citations Gangjian Tan, Shiqiang Hao et al. profile →
  9. Combinatorial screening for new materials in unconstrained composition space with machine learning
    2014 549 citations Chris Wolverton et al. profile →
  10. Codoping in SnTe: Enhancement of Thermoelectric Performance through Synergy of Resonance Levels and Band Convergence
    2015 431 citations Gangjian Tan, Shiqiang Hao et al. Journal of the American Chemical Society profile →
  11. High-throughput DFT calculations of formation energy, stability and oxygen vacancy formation energy of ABO3 perovskites
    2017 410 citations Chris Wolverton et al. profile →
  12. Rhombohedral to Cubic Conversion of GeTe via MnTe Alloying Leads to Ultralow Thermal Conductivity, Electronic Band Convergence, and High Thermoelectric Performance
    2018 360 citations Xianli Su, Hongyao Xie et al. Journal of the American Chemical Society profile →
  13. Origin of the High Performance in GeTe-Based Thermoelectric Materials upon Bi2Te3 Doping
    2014 347 citations Shiqiang Hao, Ctirad Uher et al. Journal of the American Chemical Society profile →
  14. ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition
    2018 334 citations Chris Wolverton et al. profile →
  15. High thermoelectric performance in Bi0.46Sb1.54Te3 nanostructured with ZnTe
    2018 333 citations Xianli Su, Shiqiang Hao et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Wolverton United States 101 32.4k 15.1k 6.5k 5.9k 3.3k 411 40.4k
Li‐Dong Zhao China 97 39.9k 1.2× 21.6k 1.4× 2.3k 0.3× 6.4k 1.1× 2.4k 0.7× 504 43.0k
Simon R. Phillpot United States 72 20.8k 0.6× 4.0k 0.3× 7.7k 1.2× 1.9k 0.3× 3.6k 1.1× 355 28.0k
Alexander A. Balandin United States 85 35.4k 1.1× 12.7k 0.8× 4.0k 0.6× 5.4k 0.9× 5.1k 1.5× 416 43.8k
Qing Jiang China 105 24.2k 0.7× 16.3k 1.1× 5.6k 0.9× 6.3k 1.1× 2.7k 0.8× 1.1k 45.3k
Xixiang Zhang Saudi Arabia 73 14.5k 0.4× 8.9k 0.6× 1.7k 0.3× 9.5k 1.6× 4.0k 1.2× 509 29.2k
Isao Tanaka Japan 76 27.0k 0.8× 11.2k 0.7× 3.2k 0.5× 7.0k 1.2× 4.4k 1.3× 537 35.2k
Lidong Chen China 112 43.8k 1.4× 22.2k 1.5× 4.2k 0.6× 9.3k 1.6× 3.3k 1.0× 840 51.2k
Matthias Wuttig Germany 88 25.3k 0.8× 20.1k 1.3× 1.2k 0.2× 8.3k 1.4× 5.7k 1.7× 538 33.9k
Geoffroy Hautier United States 58 20.4k 0.6× 14.2k 0.9× 2.9k 0.5× 4.4k 0.8× 2.2k 0.7× 189 30.2k
Stefano Curtarolo United States 59 15.7k 0.5× 4.6k 0.3× 6.8k 1.0× 2.6k 0.4× 2.3k 0.7× 203 22.6k

Countries citing papers authored by Chris Wolverton

Since Specialization
Citations

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

Fields of papers citing papers by Chris Wolverton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Wolverton

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Wolverton. A scholar is included among the top collaborators of Chris Wolverton 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 Chris Wolverton. Chris Wolverton 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.
Hegde, Vinay I., et al.. (2025). Accelerating high-throughput phonon calculations via machine learning universal potentials. Materials Today Physics. 53. 101688–101688. 6 indexed citations
2.
Viti, M., et al.. (2025). Compositional Design Guides Property Control in A2M2+xTi1–(x/4)Q4 Semiconductors. Journal of the American Chemical Society. 147(29). 25350–25360.
3.
Xia, Yi, et al.. (2023). Accelerating the prediction of stable materials with machine learning. Nature Computational Science. 3(11). 934–945. 50 indexed citations
4.
Zhang, Chi, Jiangang He, Hongyao Xie, et al.. (2022). Low Thermal Conductivity in Heteroanionic Materials with Layers of Homoleptic Polyhedra. Journal of the American Chemical Society. 144(6). 2569–2579. 27 indexed citations
5.
Sarkar, Sumanta, Xia Hua, Shiqiang Hao, et al.. (2021). Dissociation of GaSb in n-Type PbTe: off-Centered Gallium Atom and Weak Electron–Phonon Coupling Provide High Thermoelectric Performance. Chemistry of Materials. 33(5). 1842–1851. 31 indexed citations
6.
Naghavi, S. Shahab, Jiangang He, & Chris Wolverton. (2021). Crystal and Electronic Structures of Palladium Sesquichalcogenides. Chemistry of Materials. 33(7). 2298–2306. 6 indexed citations
7.
Qian, Rong, Yuan Li, Shiqiang Hao, et al.. (2021). Raspberry-like mesoporous Co-doped TiO2 nanospheres for a high-performance formaldehyde gas sensor. Journal of Materials Chemistry A. 9(10). 6529–6537. 37 indexed citations
8.
Anand, Shashwat, James P. Male, Chris Wolverton, & G. Jeffrey Snyder. (2021). Visualizing defect energetics. Materials Horizons. 8(7). 1966–1975. 13 indexed citations
9.
He, Jiangang, Zhenpeng Yao, Vinay I. Hegde, et al.. (2020). Computational Discovery of Stable Heteroanionic Oxychalcogenides ABXO (A, B = Metals; X = S, Se, and Te) and Their Potential Applications. Chemistry of Materials. 32(19). 8229–8242. 26 indexed citations
10.
Shen, Bo, Liliang Huang, Jiahong Shen, et al.. (2020). Synthesis of Metal-Capped Semiconductor Nanowires from Heterodimer Nanoparticle Catalysts. Journal of the American Chemical Society. 142(43). 18324–18329. 14 indexed citations
11.
Slade, Tyler J., Trevor P. Bailey, Jann A. Grovogui, et al.. (2019). High Thermoelectric Performance in PbSe–NaSbSe2 Alloys from Valence Band Convergence and Low Thermal Conductivity. Advanced Energy Materials. 9(30). 64 indexed citations
12.
Li, Yuan, Marek B. Majewski, Saiful M. Islam, et al.. (2018). Morphological Engineering of Winged Au@MoS2 Heterostructures for Electrocatalytic Hydrogen Evolution. Nano Letters. 18(11). 7104–7110. 106 indexed citations
13.
He, Jiangang, S. Shahab Naghavi, Vinay I. Hegde, Maximilian Amsler, & Chris Wolverton. (2018). Designing and Discovering a New Family of Semiconducting Quaternary Heusler Compounds Based on the 18-Electron Rule. Chemistry of Materials. 30(15). 4978–4985. 73 indexed citations
14.
Kocevski, Vancho & Chris Wolverton. (2017). Designing High-Efficiency Nanostructured Two-Phase Heusler Thermoelectrics. Chemistry of Materials. 29(21). 9386–9398. 23 indexed citations
15.
Zhao, Jing, Saiful M. Islam, Shiqiang Hao, et al.. (2017). Semiconducting Pavonites CdMBi4Se8 (M = Sn and Pb) and Their Thermoelectric Properties. Chemistry of Materials. 29(19). 8494–8503. 18 indexed citations
16.
He, Kai, Zhenpeng Yao, Sooyeon Hwang, et al.. (2017). Kinetically-Driven Phase Transformation during Lithiation in Copper Sulfide Nanoflakes. Nano Letters. 17(9). 5726–5733. 68 indexed citations
17.
Amsler, Maximilian, Zhenpeng Yao, & Chris Wolverton. (2017). Cubine, a Quasi Two-Dimensional Copper–Bismuth Nanosheet. Chemistry of Materials. 29(22). 9819–9828. 11 indexed citations
18.
Zeier, Wolfgang G., Shashwat Anand, Lihong Huang, et al.. (2017). Using the 18-Electron Rule To Understand the Nominal 19-Electron Half-Heusler NbCoSb with Nb Vacancies. Chemistry of Materials. 29(3). 1210–1217. 106 indexed citations
19.
Chen, Wei, et al.. (2012). Interplay between Subsurface Ordering, Surface Segregation, and Adsorption on Pt–Ti(111) Near-Surface Alloys. Langmuir. 28(10). 4683–4693. 29 indexed citations
20.
Häfner, J., Chris Wolverton, & Gerbrand Ceder. (2006). Toward Computational Materials Design: The Impact of Density Functional Calculations on Materials Science. MRS Bulletin. 31. 5 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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