John Griffith

729 total citations
29 papers, 523 citations indexed

About

John Griffith is a scholar working on Artificial Intelligence, Aerospace Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, John Griffith has authored 29 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 15 papers in Aerospace Engineering and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in John Griffith's work include Air Traffic Management and Optimization (11 papers), Bayesian Modeling and Causal Inference (8 papers) and Complex Network Analysis Techniques (4 papers). John Griffith is often cited by papers focused on Air Traffic Management and Optimization (11 papers), Bayesian Modeling and Causal Inference (8 papers) and Complex Network Analysis Techniques (4 papers). John Griffith collaborates with scholars based in United States. John Griffith's co-authors include Mykel J. Kochenderfer, James K. Kuchar, Leo P. Espindle, Matthew Edwards, Andrew Weinert, Nathan Hughes, Luca Carlone, David G. Hirst, Laurie Damianos and Velibor V. Mišić and has published in prestigious journals such as European Journal of Operational Research, Journal of Guidance Control and Dynamics and Transportation Research Record Journal of the Transportation Research Board.

In The Last Decade

John Griffith

29 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Griffith United States	12	361	167	103	89	82	29	523
David R. Jacques United States	11	148 0.4×	76 0.5×	9 0.1×	32 0.4×	37 0.5×	52	445
Vikram Manikonda United States	11	275 0.8×	56 0.3×	52 0.5×	79 0.9×	43 0.5×	27	524
Bala Chandran United States	5	327 0.9×	22 0.1×	51 0.5×	38 0.4×	30 0.4×	6	532
Ed Waltz United States	4	49 0.1×	206 1.2×	4 0.0×	36 0.4×	58 0.7×	7	340
Gregor Pavlin Netherlands	13	33 0.1×	281 1.7×	7 0.1×	34 0.4×	24 0.3×	65	403
Giovanni Andreatta Italy	13	227 0.6×	10 0.1×	51 0.5×	28 0.3×	16 0.2×	33	481
Michael Hinman United States	8	45 0.1×	218 1.3×	8 0.1×	59 0.7×	28 0.3×	16	332
F. E. White United States	4	54 0.1×	262 1.6×	12 0.1×	33 0.4×	45 0.5×	7	445
Mario Casillo Italy	12	52 0.1×	124 0.7×	7 0.1×	11 0.1×	101 1.2×	41	445
Darryl K. Ahner United States	9	204 0.6×	49 0.3×	5 0.0×	8 0.1×	34 0.4×	44	355

Countries citing papers authored by John Griffith

Since Specialization

Citations

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

Fields of papers citing papers by John Griffith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Griffith

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

All Works

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20 of 20 papers shown

Hughes, Nathan, et al.. (2022). Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural Networks. 2022 International Conference on Robotics and Automation (ICRA). 9272–9279. 38 indexed citations

Bertsimas, Dimitris, John Griffith, Vishal Gupta, Mykel J. Kochenderfer, & Velibor V. Mišić. (2017). A comparison of Monte Carlo tree search and rolling horizon optimization for large-scale dynamic resource allocation problems. European Journal of Operational Research. 263(2). 664–678. 30 indexed citations

Liu, Miao, et al.. (2016). Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 17 indexed citations

Anderson, Christian N. K., et al.. (2015). A network science approach to open source data fusion and analytics for disaster response. International Conference on Information Fusion. 207–214. 4 indexed citations

Anderson, Christian N. K., et al.. (2015). Application of graph methods for leveraging open source data during disaster response. 2. 259–266. 1 indexed citations

Weinert, Andrew, et al.. (2013). Extended Airspace Encounter Models for Unmanned Aircraft Sense and Avoid Safety Evaluation. 1 indexed citations

Griffith, John, et al.. (2013). Due Regard Encounter Model Version 1.0. 6 indexed citations

Cole, Rodney E., et al.. (2013). Fielding a Sense and Avoid Capability for Unmanned Aircraft Systems: Policy, Standards, Technology, and Safety Modeling. Air Traffic Control Quarterly. 21(1). 5–27. 3 indexed citations

Griffith, John & Seung Joon Lee. (2011). Environment modeling for sense and avoid sensor safety assessment. 2011 IEEE/AIAA 30th Digital Avionics Systems Conference. 3. 5B5–1. 3 indexed citations

10.

Kochenderfer, Mykel J., Matthew Edwards, Leo P. Espindle, James K. Kuchar, & John Griffith. (2010). Airspace Encounter Models for Estimating Collision Risk. Journal of Guidance Control and Dynamics. 33(2). 487–499. 113 indexed citations

11.

Reimer, Bryan, et al.. (2008). Effects of Age on Spinal Rotation during a Driving Task. Transportation Research Record Journal of the Transportation Research Board. 2078(1). 57–61. 3 indexed citations

12.

Kochenderfer, Mykel J., Leo P. Espindle, John Griffith, & James K. Kuchar. (2008). Encounter modeling for sense and avoid development. 4. 1–10. 11 indexed citations

13.

Kochenderfer, Mykel J., James K. Kuchar, Leo P. Espindle, & John Griffith. (2008). Uncorrelated Encounter Model of the National Airspace System, Version 1.0. Defense Technical Information Center (DTIC). 61 indexed citations

14.

Singh, Leena, et al.. (2007). Optimal Satellite Formation Determination for Distributed Target State Estimation. Proceedings of the ... American Control Conference. 978–984. 1 indexed citations

15.

Damianos, Laurie, et al.. (2007). Exploring the Adoption, Utility, and Social Influences of Social Bookmarking in a Corporate Environment. 3. 86–86. 34 indexed citations

16.

Doran, Christine, John Griffith, & John C. Henderson. (2006). Highlights from 12 Months of Blogs.. National Conference on Artificial Intelligence. 30–33. 1 indexed citations

17.

Maybury, Mark T., et al.. (2005). Virtually Integrated Visionary Intelligence Demonstration (VIVID). 2 indexed citations

18.

Anand, Pranav, David Anderson, John D. Burger, et al.. (2002). Qanda and the Catalyst Architecture. Text REtrieval Conference. 401–405. 7 indexed citations

19.

Clifton, Chris, et al.. (2001). GeoNODE: An End-to-End System from Research Components. 12–14. 2 indexed citations

20.

Till, C.E., et al.. (1988). The US Liquid Metal Reactor Development Program. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 9 Suppl 1. S469–71. 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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