Joseph Outten

486 total citations
4 papers, 9 citations indexed

About

Joseph Outten is a scholar working on Epidemiology, Modeling and Simulation and Molecular Biology. According to data from OpenAlex, Joseph Outten has authored 4 papers receiving a total of 9 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Epidemiology, 2 papers in Modeling and Simulation and 1 paper in Molecular Biology. Recurrent topics in Joseph Outten's work include COVID-19 epidemiological studies (2 papers), Complex Network Analysis Techniques (1 paper) and Machine Learning in Bioinformatics (1 paper). Joseph Outten is often cited by papers focused on COVID-19 epidemiological studies (2 papers), Complex Network Analysis Techniques (1 paper) and Machine Learning in Bioinformatics (1 paper). Joseph Outten collaborates with scholars based in United States. Joseph Outten's co-authors include Andrew Warren, Abhijin Adiga, Madhav Marathe, Henning Mortveit, Jiangzhuo Chen, Baltazar Espinoza, Parantapa Bhattacharya, Anil Vullikanti, Brian Klahn and Bryan Lewis and has published in prestigious journals such as Journal of Parallel and Distributed Computing, Journal of the Indian Institute of Science and 2021 IEEE International Conference on Big Data (Big Data).

In The Last Decade

Joseph Outten

3 papers receiving 9 citations

Peers

Joseph Outten

MB

MS

ID

GENET

PS

Annabel Killen United Kingdom

Samantha Fennessey United States

Kristi Kim United States

Anjanette Johnston United States

Zhengming Chen United Kingdom

Maria do Sameiro Barroso Portugal

Danielle Denisko United States

Gordan McCreath United Kingdom

Madhav Chopra United States

Gilles Pialoux France

Annabel Killen United Kingdom

Joseph Outten

2 ×0.7

MB

2 ×0.7

MS

4 ×2.0

ID

0 ×0.0

GENET

0 ×0.0

PS

Citations per year, relative to Joseph Outten Joseph Outten (= 1×) peers Annabel Killen

Countries citing papers authored by Joseph Outten

Since Specialization

Citations

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

Fields of papers citing papers by Joseph Outten

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Outten

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Outten. A scholar is included among the top collaborators of Joseph Outten 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 Joseph Outten. Joseph Outten is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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4 of 4 papers shown

1.

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

2.

Chen, Jiangzhuo, Baltazar Espinoza, Bryan Lewis, et al.. (2024). Agent-Based Simulation Framework for Multi-Variant Surveillance. 276–287.

3.

Outten, Joseph & Andrew Warren. (2021). Methods and Developments in Graphical Pangenomics. Journal of the Indian Institute of Science. 101(3). 485–498. 6 indexed citations

4.

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

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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