Tess Smidt

19 papers and 1.5k indexed citations i.

About

Tess Smidt is a scholar working on Materials Chemistry, Nuclear and High Energy Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Tess Smidt has authored 19 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 5 papers in Nuclear and High Energy Physics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Tess Smidt’s work include Machine Learning in Materials Science (11 papers), Neutrino Physics Research (5 papers) and Computational Drug Discovery Methods (3 papers). Tess Smidt is often cited by papers focused on Machine Learning in Materials Science (11 papers), Neutrino Physics Research (5 papers) and Computational Drug Discovery Methods (3 papers). Tess Smidt collaborates with scholars based in United States, Switzerland and Germany. Tess Smidt's co-authors include Mario Geiger, Mordechai Kornbluth, Jonathan P. Mailoa, Simon Batzner, Lixin Sun, Albert Musaelian, Nicola Molinari, Boris Kozinsky, Jeffrey B. Neaton and Anubhav Jain and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Tess Smidt i

Fields of papers citing papers by Tess Smidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tess Smidt

Since Specialization
Citations

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

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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2025