Richard Fujimoto

3.3k total citations
130 papers, 2.2k citations indexed

About

Richard Fujimoto is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Richard Fujimoto has authored 130 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Management Science and Operations Research, 77 papers in Computer Networks and Communications and 27 papers in Electrical and Electronic Engineering. Recurrent topics in Richard Fujimoto's work include Simulation Techniques and Applications (82 papers), Distributed and Parallel Computing Systems (44 papers) and Vehicular Ad Hoc Networks (VANETs) (23 papers). Richard Fujimoto is often cited by papers focused on Simulation Techniques and Applications (82 papers), Distributed and Parallel Computing Systems (44 papers) and Vehicular Ad Hoc Networks (VANETs) (23 papers). Richard Fujimoto collaborates with scholars based in United States, Germany and United Kingdom. Richard Fujimoto's co-authors include Michael Hunter, Hao Wu, Randall Guensler, Kalyan S. Perumalla, Maria Hybinette, George Riley, Kiran Panesar, Mostafa Ammar, Wonho Suh and Andrew T. Ogielski and has published in prestigious journals such as IEEE Communications Magazine, Annals of Operations Research and ACM Transactions on Computer Systems.

In The Last Decade

Richard Fujimoto

127 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Richard Fujimoto United States 23 1.5k 955 635 290 275 130 2.2k
He Huang China 25 1.1k 0.8× 238 0.2× 473 0.7× 151 0.5× 74 0.3× 161 2.2k
Lachlan L. H. Andrew Australia 26 2.6k 1.8× 260 0.3× 1.6k 2.6× 301 1.0× 182 0.7× 151 3.5k
Stefan Greiner Germany 7 1.4k 0.9× 188 0.2× 575 0.9× 89 0.3× 183 0.7× 11 2.1k
Malcolm Yoke Hean Low Singapore 22 417 0.3× 529 0.6× 67 0.1× 229 0.8× 64 0.2× 150 2.0k
Natarajan Gautam United States 22 1.1k 0.7× 80 0.1× 522 0.8× 165 0.6× 218 0.8× 96 1.7k
Iordanis Koutsopoulos Greece 27 1.8k 1.2× 299 0.3× 1.7k 2.7× 502 1.7× 46 0.2× 166 3.3k
Rajive Bagrodia United States 33 5.8k 4.0× 1.0k 1.1× 2.1k 3.2× 174 0.6× 674 2.5× 181 6.4k
Tobias Achterberg Germany 13 383 0.3× 232 0.2× 299 0.5× 385 1.3× 85 0.3× 25 1.8k
Shivkumar Kalyanaraman United States 26 1.9k 1.3× 75 0.1× 1.3k 2.0× 188 0.6× 72 0.3× 174 2.7k
Ishai Menache United States 25 2.0k 1.4× 290 0.3× 587 0.9× 115 0.4× 150 0.5× 72 2.8k

Countries citing papers authored by Richard Fujimoto

Since Specialization
Citations

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

Fields of papers citing papers by Richard Fujimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Fujimoto

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

All Works

20 of 20 papers shown
1.
Suh, Wonho, et al.. (2017). Dynamic data driven transportation systems. Multimedia Tools and Applications. 76(23). 25253–25269. 8 indexed citations
2.
Fujimoto, Richard, et al.. (2016). Energy consumption of data driven traffic simulations. Winter Simulation Conference. 1119–1130. 5 indexed citations
3.
Fujimoto, Richard, et al.. (2015). Towards automating the development of federated distributed simulations for modeling sustainable urban infrastructures. Winter Simulation Conference. 2668–2679. 7 indexed citations
4.
Tolk, Andreas, Osman Balcı, C. Donald Combs, et al.. (2015). Do we need a national research agenda for modeling and simulation. Winter Simulation Conference. 2571–2585. 4 indexed citations
5.
Hunter, Michael, et al.. (2014). Past and Future Trees: Structures for predicting vehicle trajectories in real-time. Proceedings of the Winter Simulation Conference 2014. 2884–2895. 1 indexed citations
6.
Fujimoto, Richard, et al.. (2013). On the transient response of open queueing networks using ad hoc distributed simulations. Winter Simulation Conference. 2947–2958. 2 indexed citations
7.
Vuduc, Richard, et al.. (2011). The Backstroke framework for source level reverse computation applied to parallel discrete event simulation. Winter Simulation Conference. 2965–2979. 10 indexed citations
8.
Vuduc, Richard, et al.. (2011). The Backstroke framework for source level reverse computation applied to parallel discrete event simulation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2960–2974. 6 indexed citations
9.
Guin, Angshuman, et al.. (2010). Real-time data driven arterial simulation for performance measures estimation. Winter Simulation Conference. 2057–2069. 4 indexed citations
10.
Hunter, Michael, et al.. (2008). Proposed methodology for a data-driven simulation for estimating performance measures along signalized arterials in real-time. Winter Simulation Conference. 2761–2768. 4 indexed citations
11.
Gu, Yan & Richard Fujimoto. (2007). Applying parallel and distributed simulation to remote network emulation. Winter Simulation Conference. 1328–1336. 5 indexed citations
12.
Fujimoto, Richard, et al.. (2004). Distributed simulation test bed for intelligent transportation systems design and analysis. International Conference on Digital Government Research. 32. 2 indexed citations
13.
Fujimoto, Richard, et al.. (2004). Middleware for real-time distributed simulations: Research Articles. 16(15). 1483–1501. 2 indexed citations
14.
Shi, Weidong, Kalyan S. Perumalla, & Richard Fujimoto. (2003). Power-aware state dissemination in mobile distributed virtual environments. 181–188. 9 indexed citations
15.
Fujimoto, Richard, et al.. (2003). Predictable time management for real-time distributed simulation. 89–96. 7 indexed citations
16.
Fujimoto, Richard, et al.. (2003). Simulation-based operations planning for regional transportation systems. International Conference on Digital Government Research. 1–1. 5 indexed citations
17.
Bruzzone, Agostino G., Simon J. E. Taylor, Richard Fujimoto, et al.. (2002). Panel discussion on distributed simulation and industry: potentials and pitfalls: distributed simulation and industry: potentials and pitfalls. Winter Simulation Conference. 688–694. 3 indexed citations
18.
Riley, George F., Richard Fujimoto, & Mostafa Ammar. (2000). Network aware time management and event distribution. 119–126. 15 indexed citations
19.
Hybinette, Maria & Richard Fujimoto. (1998). Dynamic virtual logical processes. 28(1). 100–107. 4 indexed citations
20.
Nicol, David & Richard Fujimoto. (1990). Distributed Simulation: Proceedings of the SCS Multiconference on Distributed Simulation, 17-19 January, 1990, San Diego, California. 1 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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