Leo P. Espindle

410 total citations
10 papers, 311 citations indexed

About

Leo P. Espindle is a scholar working on Aerospace Engineering, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Leo P. Espindle has authored 10 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Aerospace Engineering, 6 papers in Artificial Intelligence and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Leo P. Espindle's work include Air Traffic Management and Optimization (8 papers), Risk and Safety Analysis (4 papers) and Bayesian Modeling and Causal Inference (4 papers). Leo P. Espindle is often cited by papers focused on Air Traffic Management and Optimization (8 papers), Risk and Safety Analysis (4 papers) and Bayesian Modeling and Causal Inference (4 papers). Leo P. Espindle collaborates with scholars based in United States. Leo P. Espindle's co-authors include Mykel J. Kochenderfer, James K. Kuchar, John Griffith, Matthew Edwards and James Griffith and has published in prestigious journals such as Journal of Guidance Control and Dynamics, IET Radar Sonar & Navigation and AIAA Guidance, Navigation and Control Conference and Exhibit.

In The Last Decade

Leo P. Espindle

10 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leo P. Espindle United States	7	270	111	82	69	52	10	311
Andrew Weinert United States	9	194 0.7×	49 0.4×	49 0.6×	36 0.5×	31 0.6×	29	256
Rhonda Slattery United States	7	285 1.1×	30 0.3×	53 0.6×	61 0.9×	23 0.4×	20	313
Douglas R. Isaacson United States	11	349 1.3×	28 0.3×	41 0.5×	103 1.5×	18 0.3×	22	376
Rob Ruigrok Netherlands	9	291 1.1×	17 0.2×	63 0.8×	106 1.5×	18 0.3×	16	337
Dallas G. Denery United States	9	156 0.6×	29 0.3×	13 0.2×	58 0.8×	18 0.3×	31	240
Shane Barratt United States	5	65 0.2×	54 0.5×	32 0.4×	11 0.2×	20 0.4×	8	150
Banavar Sridhar United States	4	343 1.3×	11 0.1×	42 0.5×	64 0.9×	20 0.4×	8	368
Brian T. Baxley United States	10	304 1.1×	5 0.0×	21 0.3×	154 2.2×	10 0.2×	38	330
P. G. Reich	6	250 0.9×	6 0.1×	45 0.5×	52 0.8×	91 1.8×	10	290
Clemens Wiltsche United Kingdom	6	19 0.1×	45 0.4×	11 0.1×	19 0.3×	6 0.1×	6	135

Countries citing papers authored by Leo P. Espindle

Since Specialization

Citations

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

Fields of papers citing papers by Leo P. Espindle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leo P. Espindle. 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 Leo P. Espindle. The network helps show where Leo P. Espindle may publish in the future.

Co-authorship network of co-authors of Leo P. Espindle

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

All Works

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10 of 10 papers shown

1.

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

2.

Espindle, Leo P. & Mykel J. Kochenderfer. (2009). Classification of primary radar tracks using Gaussian mixture models. IET Radar Sonar & Navigation. 3(6). 559–568. 5 indexed citations

3.

Kochenderfer, Mykel J., et al.. (2009). Airspace Encounter Models for Conventional and Unconventional Aircraft. 4 indexed citations

4.

Griffith, John, et al.. (2009). Safety Analysis of Upgrading to TCAS Version 7.1 Using the 2008 U.S. Correlated Encounter Model. 16 indexed citations

5.

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

6.

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

7.

Kochenderfer, Mykel J., et al.. (2008). Preliminary Uncorrelated Encounter Model of the National Airspace System. Defense Technical Information Center (DTIC). 2 indexed citations

8.

Kochenderfer, Mykel J., Leo P. Espindle, James K. Kuchar, & John Griffith. (2008). Correlated Encounter Model for Cooperative Aircraft in the National Airspace System Version 1.0. 55 indexed citations

9.

Kochenderfer, Mykel J., Leo P. Espindle, James K. Kuchar, & John Griffith. (2008). A Comprehensive Aircraft Encounter Model of the National Airspace System. 25 indexed citations

10.

Kochenderfer, Mykel J., James K. Kuchar, James Griffith, & Leo P. Espindle. (2008). A Bayesian Approach to Aircraft Encounter Modeling. AIAA Guidance, Navigation and Control Conference and Exhibit. 19 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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