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 Kristian Sommer Thygesen sits on this spectrum.
This scientist: 278 publications — 54th percentile
54% 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 Kristian Sommer Thygesen sits on this spectrum.
This scientist: 86 D-Index — 84th percentile
84% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 165 D-Index or more.
Kristian Sommer Thygesen is affiliated with the Technical University of Denmark and works primarily in the fields of Materials Science and Engineering. Their research encompasses a diverse range of topics within materials chemistry, electrical and electronic engineering, atomic and molecular physics, biomedical engineering, and condensed matter physics. The main areas of focus include 2D materials and their applications, graphene research, machine learning in materials science, MXene and MAX phase materials, electronic and structural properties of oxides, quantum dots synthesis and properties, and perovskite materials.
The scientist has contributed substantially to the literature, with recent notable papers including:
The coauthors most frequently collaborating with Thygesen include Mark Kamper Svendsen, Thomas Olsen, Jens Jørgen Mortensen, Karsten W. Jacobsen, and Fabian Bertoldo.
Their research articles appear regularly in venues such as arXiv (Cornell University), npj Computational Materials, Physical Review B, 2D Materials, and ACS Nano, reflecting a concentration on high-impact journals and preprint archives in materials science and related disciplines.
Kristian Sommer Thygesen's contributions span major subfields and topics in materials science, emphasizing both experimental and computational approaches, including the integration of machine learning techniques for materials discovery and analysis.
Ask Hjorth Larsen;Ask Hjorth Larsen;Jens Jørgen Mortensen;Jakob Blomqvist;Ivano E. Castelli
J. Enkovaara;Carsten Rostgaard;Jens Jørgen Mortensen;Jingzhe Chen
Kristen Kaasbjerg;Kristian S. Thygesen;Karsten W. Jacobsen
Filip Anselm Rasmussen;Kristian Sommer Thygesen
Sten Haastrup;Mikkel Strange;Mohnish Pandey;Thorsten Deilmann
V. Viswanathan;Kristian Sommer Thygesen;J.S. Hummelshøj;Jens Kehlet Nørskov
Unknown
M. Vanin;J. J. Mortensen;A. K. Kelkkanen;J. M. Garcia-Lastra
Ivano E. Castelli;Thomas Olsen;Soumendu Datta;David D. Landis
J. S. Hummelshøj;J. Blomqvist;S. Datta;T. Vegge
Troels Markussen;Robert Stadler;Kristian S. Thygesen
Vladimir Tripkovic;Marco Vanin;Mohammedreza Karamad;Mårten E. Björketun
Kristen Kaasbjerg;Kristian Sommer Thygesen;Antti-Pekka Jauho
Kristian Sommer Thygesen
Simone Latini;Thomas Olsen;Kristian Sommer Thygesen
Falco Hüser;Thomas Olsen;Kristian Sommer Thygesen
Jesper Kleis;Jeffrey Philip Greeley;N. A. Romero;V. A. Morozov
M. N. Gjerding;A. Taghizadeh;A. Rasmussen;S. Ali
Ivano E. Castelli;Juan María García-Lastra;Kristian S. Thygesen;Karsten W. Jacobsen
J. M. García-Lastra;J. M. García-Lastra;C. Rostgaard;Angel Rubio;Kristian S. Thygesen
Xiaoxu Zhao;Peng Song;Chengcai Wang;Anders Christian Riis-Jensen
Ivano Eligio Castelli;David Landis;Kristian Sommer Thygesen;Søren Dahl
M. Strange;M. Strange;Carsten Rostgaard;H. Hakkinen;Kristian Sommer Thygesen
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