Aditi S. Krishnapriyan

About

Aditi S. Krishnapriyan is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Aditi S. Krishnapriyan has authored 15 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 7 papers in Computational Theory and Mathematics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Aditi S. Krishnapriyan’s work include Machine Learning in Materials Science (4 papers), Computational Drug Discovery Methods (4 papers) and Topological and Geometric Data Analysis (3 papers). Aditi S. Krishnapriyan is often cited by papers focused on Machine Learning in Materials Science (4 papers), Computational Drug Discovery Methods (4 papers) and Topological and Geometric Data Analysis (3 papers). Aditi S. Krishnapriyan collaborates with scholars based in United States, Spain and China. Aditi S. Krishnapriyan's co-authors include Maciej Harańczyk, Dmitriy Morozov, Maosheng Miao, Ram Seshadri, Evan Walter Clark Spotte‐Smith, Berend Smit, Jens S. Hummelshøj, Kristin A. Persson, Andrew Rosen and Mingjian Wen and has published in prestigious journals such as Nano Letters, ACS Nano and The Journal of Physical Chemistry.

In The Last Decade

Co-authorship network of co-authors of Aditi S. Krishnapriyan i

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Fields of papers citing papers by Aditi S. Krishnapriyan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aditi S. Krishnapriyan. 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 Aditi S. Krishnapriyan. The network helps show where Aditi S. Krishnapriyan may publish in the future.

Countries citing papers authored by Aditi S. Krishnapriyan

Since Specialization

Citations

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