Daniel Schwalbe‐Koda

32 papers and 870 indexed citations i.

About

Daniel Schwalbe‐Koda is a scholar working on Materials Chemistry, Inorganic Chemistry and Catalysis. According to data from OpenAlex, Daniel Schwalbe‐Koda has authored 32 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Materials Chemistry, 12 papers in Inorganic Chemistry and 9 papers in Catalysis. Recurrent topics in Daniel Schwalbe‐Koda’s work include Machine Learning in Materials Science (15 papers), Zeolite Catalysis and Synthesis (12 papers) and 2D Materials and Applications (7 papers). Daniel Schwalbe‐Koda is often cited by papers focused on Machine Learning in Materials Science (15 papers), Zeolite Catalysis and Synthesis (12 papers) and 2D Materials and Applications (7 papers). Daniel Schwalbe‐Koda collaborates with scholars based in United States, Spain and Germany. Daniel Schwalbe‐Koda's co-authors include Rafael Gómez‐Bombarelli, L. K. Teles, F. Bechstedt, Marcelo Marques, Avelino Corma, Manuel Moliner, Yuriy Román‐Leshkov, Simon Axelrod, Elsa Olivetti and Zach Jensen and has published in prestigious journals such as Science, Angewandte Chemie International Edition and The Journal of Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Daniel Schwalbe‐Koda i

Fields of papers citing papers by Daniel Schwalbe‐Koda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Schwalbe‐Koda. 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 Daniel Schwalbe‐Koda. The network helps show where Daniel Schwalbe‐Koda may publish in the future.

Countries citing papers authored by Daniel Schwalbe‐Koda

Since Specialization
Citations

This map shows the geographic impact of Daniel Schwalbe‐Koda'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 Daniel Schwalbe‐Koda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schwalbe‐Koda 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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