Chris Wolverton

48.7k citations
411 papers · 40.4k · 15 hit papers · h-index 101

Impact in

Papers in

    • Advanced Thermoelectric Materials and Devices 88
    • Machine Learning in Materials Science 68
    • Hydrogen Storage and Materials 41
    • Advancements in Battery Materials 59
    • Chalcogenide Semiconductor Thin Films 48
    • Advanced Battery Materials and Technologies 38

Chris Wolverton

404 papers receiving 39.7k citations

Chris Wolverton's Hit Papers

Recent advances and applications of deep learning methods in materials science 2022 · 652 citations
6520+4+8Years since publication10002.0k3.0k4.0k

Peers

Chris Wolverton
Comparison fields: 5 of 156
  • Materials Chemistry 32.4k
  • Electronic, Optical and Magnetic Materials 5.9k
  • Electrical and Electronic Engineering 15.1k
  • Catalysis 1.7k
  • Metals and Alloys 476
Replace Qing Jiang with:
Qing Jiang China
Isao Tanaka Japan
Anubhav Jain United States
Geoffroy Hautier United States
Stephen J. Pennycook United States
Takeshi Fujita Japan
Shyue Ping Ong United States
Vidvuds Ozoliņš United States
Eric A. Stach United States
Dane Morgan United States
Chris Wolverton relative to Qing Jiang China Qing Jiang's profile →
Citations per field
00.5×2.9×
Qing Jiang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Chris Wolverton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chris Wolverton Line = papers co-authored together Chris Wolverton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 411 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ultralow thermal conductivity and high thermoelectric figure of merit in SnSe crystals
Hit paper breakdown →
20144293
2
Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD)
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20131831
3
Ultrahigh power factor and thermoelectric performance in hole-doped single-crystal SnSe
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20151775
4
The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies
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20151675
5
All-scale hierarchical thermoelectrics: MgTe in PbTe facilitates valence band convergence and suppresses bipolar thermal transport for high performance
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2013678
6
Recent advances and applications of deep learning methods in materials science
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2022652
7
High Thermoelectric Performance of p-Type SnTe via a Synergistic Band Engineering and Nanostructuring Approach
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2014591
8
Non-equilibrium processing leads to record high thermoelectric figure of merit in PbTe–SrTe
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2016569
9
Combinatorial screening for new materials in unconstrained composition space with machine learning
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2014549
10
Codoping in SnTe: Enhancement of Thermoelectric Performance through Synergy of Resonance Levels and Band Convergence
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2015431
11 2001422
12
High-throughput DFT calculations of formation energy, stability and oxygen vacancy formation energy of ABO3 perovskites
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2017410
13 2015387
14 2013365
15
Rhombohedral to Cubic Conversion of GeTe via MnTe Alloying Leads to Ultralow Thermal Conductivity, Electronic Band Convergence, and High Thermoelectric Performance
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2018360
16 2007358
17 2014355
18
Origin of the High Performance in GeTe-Based Thermoelectric Materials upon Bi2Te3 Doping
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2014347
19
ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition
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2018334
20
High thermoelectric performance in Bi0.46Sb1.54Te3 nanostructured with ZnTe
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2018333

About Chris Wolverton

Chris Wolverton is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Mechanical Engineering and Electronic, Optical and Magnetic Materials, having authored 411 papers that have together received 40.4k indexed citations. Recurring topics across this work include Advanced Thermoelectric Materials and Devices (88 papers), Machine Learning in Materials Science (68 papers), Advancements in Battery Materials (59 papers), Chalcogenide Semiconductor Thin Films (48 papers), Advanced Chemical Physics Studies (44 papers), Hydrogen Storage and Materials (41 papers), Advanced Battery Materials and Technologies (38 papers) and Aluminum Alloy Microstructure Properties (36 papers). The work is most often cited by research in Materials Chemistry (32.4k citations), Electronic, Optical and Magnetic Materials (5.9k citations), Electrical and Electronic Engineering (15.1k citations), Catalysis (1.7k citations) and Metals and Alloys (476 citations). Chris Wolverton has collaborated with scholars based in United States, China and South Korea. Frequent 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. Their work appears in journals such as Chemistry of Materials, Physical Review B, Acta Materialia, Journal of the American Chemical Society and Physical review. B, Condensed matter.

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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