The chart shows the distribution of publications by all Research.com ranked scientists in the field of Materials Science in 2026. The highlighted bar marks where R. B. van Dover sits on this spectrum.
This scientist: 263 publications — 50th percentile
50% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,163 publications or more.
The chart shows the D-index (discipline H-index) distribution of Materials Science scientists ranked by Research.com in 2026. The highlighted bar marks where R. B. van Dover sits on this spectrum.
This scientist: 71 D-Index — 68th percentile
68% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 165 D-Index or more.
R. B. van Dover is affiliated with Cornell University in the United States and conducts research primarily within the field of Materials Science. Their scholarly output notably spans subfields such as Materials Chemistry, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Catalysis, and Condensed Matter Physics.
Their research encompasses several main topics, including:
Recent publications by R. B. van Dover demonstrate participation in interdisciplinary studies combining materials science with computational methods and experimental approaches. These papers include the following:
R. B. van Dover frequently publishes in several venues, showing a pattern of collaboration and contributions in both preprint repositories and peer-reviewed journals. These venues include:
Collaboration forms a significant part of van Dover's work, with recurring co-authors such as John M. Gregoire, Michael O. Thompson, Ulrich Wiesner, Sebastian Ament, and Ming-Chiang Chang. These collaborations span multiple publications, indicating ongoing joint research efforts.
Overall, the research profile of R. B. van Dover is characterized by an interdisciplinary approach combining materials synthesis, machine learning techniques, and the study of catalytic and energy-related materials. The focus on advanced computational methods alongside experimental frameworks aligns with current trends in materials science research.
R. J. Cava;B. Batlogg;R. B. van Dover;D. W. Murphy
Robert Joseph Cava;R. B. Van Dover;B. Batlogg;E. A. Rietman
R. J. Cava;H. Takagi;H. W. Zandbergen;J. J. Krajewski
S. Jin;T. H. Tiefel;R. C. Sherwood;M. E. Davis
E. M. Gyorgy;R. B. van Dover;K. A. Jackson;L. F. Schneemeyer
S. A. Sunshine;T. Siegrist;L. F. Schneemeyer;D. W. Murphy
S. Jin;T. H. Tiefel;R. C. Sherwood;R. B. van Dover
R. J. Cava
S. Jin;H. Mavoori;C. Bower;R. B. van Dover
C. B. Eom;R. B. Van Dover;Julia M. Phillips;D. J. Werder
R. B. van Dover;L. F. Schneemeyer;R. M. Fleming
B. Batlogg;R. J. Cava;A. Jayaraman;R. B. van Dover
D. W. Murphy;S. Sunshine;R. B. Van Dover;R. J. Cava
L. F. Schneemeyer;J. V. Waszczak;T. Siegrist;R. B. Van Dover
T. T M Palstra;Bertram Batlogg;R. B. Van Dover;Lynn Schneemeyer
S. Jin;R. C. Sherwood;R. B. van Dover;T. H. Tiefel
Y. Suzuki;H. Y. Hwang;Sang-Wook Cheong;R. B. Van Dover
R. B. van Dover
R. B. van Dover;E. M. Gyorgy;L. F. Schneemeyer;J. W. Mitchell
Robert Joseph Cava;B. Batlogg;R. B. Van Dover;J. J. Krajewski
R. M. Fleming;D. V. Lang;C. D. W. Jones;M. L. Steigerwald
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