Brian Klahn

569 total citations
6 papers, 79 citations indexed

About

Brian Klahn is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases. According to data from OpenAlex, Brian Klahn has authored 6 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Modeling and Simulation, 2 papers in Epidemiology and 1 paper in Infectious Diseases. Recurrent topics in Brian Klahn's work include COVID-19 epidemiological studies (3 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Influenza Virus Research Studies (1 paper). Brian Klahn is often cited by papers focused on COVID-19 epidemiological studies (3 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Influenza Virus Research Studies (1 paper). Brian Klahn collaborates with scholars based in United States and Germany. Brian Klahn's co-authors include Frank Bergmann, Ursula Kummer, Sven Sahle, Stefan Hoops, Pedro Mendes, Jürgen Pahle, Parantapa Bhattacharya, Akhil Sai Peddireddy, Pramod Patil and Dustin Machi and has published in prestigious journals such as Journal of Biotechnology, Journal of Parallel and Distributed Computing and Epidemics.

In The Last Decade

Brian Klahn

6 papers receiving 79 citations

Peers

Brian Klahn
Yao Yu Yeo United States
Tusharkanti Ghosh United States
Charles Zou United States
David Dwyer United States
Kalle Leinonen United States
Yao Yu Yeo United States
Brian Klahn
Citations per year, relative to Brian Klahn Brian Klahn (= 1×) peers Yao Yu Yeo

Countries citing papers authored by Brian Klahn

Since Specialization
Citations

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

Fields of papers citing papers by Brian Klahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Klahn

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Klahn. A scholar is included among the top collaborators of Brian Klahn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian Klahn. Brian Klahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Porebski, Przemyslaw, Srinivasan Venkatramanan, Aniruddha Adiga, et al.. (2024). Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projections. Epidemics. 47. 100761–100761. 2 indexed citations
2.
Bhattacharya, Parantapa, Dustin Machi, Jiangzhuo Chen, et al.. (2024). Novel multi-cluster workflow system to support real-time HPC-enabled epidemic science: Investigating the impact of vaccine acceptance on COVID-19 spread. Journal of Parallel and Distributed Computing. 191. 104899–104899. 1 indexed citations
3.
Bhattacharya, Parantapa, Dustin Machi, Jiangzhuo Chen, et al.. (2021). AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US. 2021 IEEE International Conference on Big Data (Big Data). 1566–1574. 2 indexed citations
4.
Bhattacharya, Parantapa, et al.. (2020). NSSAC/PatchSim: First official release. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
5.
Peddireddy, Akhil Sai, Dawen Xie, Pramod Patil, et al.. (2020). From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance. 1380–1387. 10 indexed citations
6.
Bergmann, Frank, Stefan Hoops, Brian Klahn, et al.. (2017). COPASI and its applications in biotechnology. Journal of Biotechnology. 261. 215–220. 62 indexed citations

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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