Linda Petzold

About

Linda Petzold is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Linda Petzold has authored 9 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Statistics and Probability. Recurrent topics in Linda Petzold’s work include Markov Chains and Monte Carlo Methods (2 papers), Numerical methods for differential equations (2 papers) and COVID-19 diagnosis using AI (1 paper). Linda Petzold is often cited by papers focused on Markov Chains and Monte Carlo Methods (2 papers), Numerical methods for differential equations (2 papers) and COVID-19 diagnosis using AI (1 paper). Linda Petzold collaborates with scholars based in United States, Sweden and Germany. Linda Petzold's co-authors include Robert T. Tranquillo, David Knapp, Victor H. Barocas, Shengtai Li, Yang Cao, Radu Serban, David E. Keyes, Daniel A. Reed, Michael R. Leuze and Richard F. Sincovec and has published in prestigious journals such as The Journal of Chemical Physics, Mathematics of Computation and Computers & Chemical Engineering.

In The Last Decade

Co-authorship network of co-authors of Linda Petzold i

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Fields of papers citing papers by Linda Petzold

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Linda Petzold

Since Specialization

Citations

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