Phillip Schumm

15 papers and 212 indexed citations i.

About

Phillip Schumm is a scholar working on Statistical and Nonlinear Physics, Agronomy and Crop Science and Modeling and Simulation. According to data from OpenAlex, Phillip Schumm has authored 15 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistical and Nonlinear Physics, 3 papers in Agronomy and Crop Science and 3 papers in Modeling and Simulation. Recurrent topics in Phillip Schumm’s work include Complex Network Analysis Techniques (9 papers), Animal Disease Management and Epidemiology (3 papers) and COVID-19 epidemiological studies (3 papers). Phillip Schumm is often cited by papers focused on Complex Network Analysis Techniques (9 papers), Animal Disease Management and Epidemiology (3 papers) and COVID-19 epidemiological studies (3 papers). Phillip Schumm collaborates with scholars based in United States, The Netherlands and China. Phillip Schumm's co-authors include Caterina Scoglio, Sakshi Pahwa, Noel N. Schulz, Piet Van Mieghem, H. Wang, Xin Ge, Stojan Trajanovski, Ronette Gehring, Walter R. Schumm and Michael L. Parchman and has published in prestigious journals such as PLoS ONE, Journal of Theoretical Biology and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Co-authorship network of co-authors of Phillip Schumm i

Fields of papers citing papers by Phillip Schumm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Phillip Schumm

Since Specialization
Citations

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