Craig E. Beal

807 total citations · 1 hit paper
27 papers, 628 citations indexed

About

Craig E. Beal is a scholar working on Automotive Engineering, Civil and Structural Engineering and Control and Systems Engineering. According to data from OpenAlex, Craig E. Beal has authored 27 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Automotive Engineering, 12 papers in Civil and Structural Engineering and 10 papers in Control and Systems Engineering. Recurrent topics in Craig E. Beal's work include Vehicle Dynamics and Control Systems (20 papers), Soil Mechanics and Vehicle Dynamics (11 papers) and Real-time simulation and control systems (6 papers). Craig E. Beal is often cited by papers focused on Vehicle Dynamics and Control Systems (20 papers), Soil Mechanics and Vehicle Dynamics (11 papers) and Real-time simulation and control systems (6 papers). Craig E. Beal collaborates with scholars based in United States. Craig E. Beal's co-authors include J. Christian Gerdes, Rami Y. Hindiyeh, Sean Brennan, Liming Gao, Michael D. Robinson, J. Lowell Orbison, Hang Yang and Cindy Chen and has published in prestigious journals such as Accident Analysis & Prevention, IEEE Transactions on Control Systems Technology and Vehicle System Dynamics.

In The Last Decade

Craig E. Beal

23 papers receiving 619 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Model Predictive Control for Vehicle Stabilization at the Limits of Handling

2012 377 citations Craig E. Beal, J. Christian Gerdes IEEE Transactions on Control Systems Technology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Craig E. Beal United States	7	561	363	206	140	72	27	628
Jun Ni China	13	520 0.9×	357 1.0×	152 0.7×	115 0.8×	122 1.7×	36	639
Mathias R Lidberg Sweden	12	364 0.6×	219 0.6×	111 0.5×	108 0.8×	55 0.8×	40	416
Tilman Bünte Germany	16	641 1.1×	520 1.4×	303 1.5×	171 1.2×	58 0.8×	57	841
Eric Tseng United States	11	370 0.7×	262 0.7×	122 0.6×	64 0.5×	102 1.4×	23	457
Mats Jonasson Sweden	14	441 0.8×	246 0.7×	163 0.8×	141 1.0×	33 0.5×	53	539
Bo Leng China	13	409 0.7×	209 0.6×	136 0.7×	98 0.7×	75 1.0×	67	541
Moustapha Doumiati France	13	796 1.4×	343 0.9×	470 2.3×	385 2.8×	30 0.4×	44	947
Alireza Kasaiezadeh Canada	15	584 1.0×	320 0.9×	241 1.2×	168 1.2×	63 0.9×	35	700
Nenggen Ding China	12	330 0.6×	167 0.5×	204 1.0×	111 0.8×	21 0.3×	24	405
Fredrik Bruzelius Sweden	14	362 0.6×	193 0.5×	221 1.1×	159 1.1×	19 0.3×	65	550

Countries citing papers authored by Craig E. Beal

Since Specialization

Citations

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

Fields of papers citing papers by Craig E. Beal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Craig E. Beal. 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 Craig E. Beal. The network helps show where Craig E. Beal may publish in the future.

Co-authorship network of co-authors of Craig E. Beal

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Gao, Liming, et al.. (2023). Boxes-Based Representation and Data Sharing of Road Surface Friction for CAVs. 5(2). 1 indexed citations

2.

Gao, Liming, et al.. (2022). Granulation of Large Temporal Databases: An Allan Variance Approach. SN Computer Science. 4(1).

3.

Beal, Craig E., et al.. (2021). Near-optimal Moving Average Estimation at Characteristic Timescales: An Allan Variance Approach. 1565–1570.

4.

Gao, Liming, et al.. (2021). Analytical Longitudinal Speed Planning for CAVs with Previewed Road Geometry and Friction Constraints. ScholarSphere (Penn State Libraries). 1610–1615. 2 indexed citations

5.

Gao, Liming, et al.. (2021). A Micro-simulation Framework for Studying CAVs Behavior and Control Utilizing a Traffic Simulator, Chassis Simulation, and a Shared Roadway Friction Database. ScholarSphere (Penn State Libraries). 1650–1655. 1 indexed citations

6.

Beal, Craig E., et al.. (2020). Near-Optimal Moving Average Estimation at Characteristic Timescales: An Allan Variance Approach. IEEE Control Systems Letters. 5(5). 1531–1536. 6 indexed citations

7.

Robinson, Michael D., Craig E. Beal, & Sean Brennan. (2020). At what cost? How planned collisions with pedestrians may save lives. Accident Analysis & Prevention. 141. 105492–105492. 4 indexed citations

8.

Beal, Craig E. & Sean Brennan. (2020). Modeling and friction estimation for automotive steering torque at very low speeds. Vehicle System Dynamics. 59(3). 458–484. 8 indexed citations

9.

Beal, Craig E. & Sean Brennan. (2019). Friction detection from stationary steering manoeuvres. Vehicle System Dynamics. 58(11). 1736–1765. 5 indexed citations

10.

Beal, Craig E., et al.. (2018). Coupled lateral-longitudinal vehicle dynamics and control design with three-dimensional state portraits. Vehicle System Dynamics. 57(2). 286–313. 43 indexed citations

11.

Beal, Craig E. & J. Lowell Orbison. (2018). An Interactive Professional Ethics Case Simulation. 1 indexed citations

12.

Beal, Craig E., et al.. (2018). Vehicle control synthesis using phase portraits of planar dynamics. Vehicle System Dynamics. 57(9). 1318–1337. 90 indexed citations

13.

Beal, Craig E.. (2017). Miniature electric vehicle laboratory for introductory and advanced coursework. 5349–5354. 1 indexed citations

14.

Beal, Craig E.. (2017). Stabilization of a vehicle traversing a short low-friction road segment. 2017 IEEE Conference on Control Technology and Applications (CCTA). 33. 1898–1903. 1 indexed citations

15.

Yang, Hang, et al.. (2016). Vehicle road departure detection using anomalies in dynamics. 4. 6314–6319. 2 indexed citations

16.

Beal, Craig E., et al.. (2015). Dynamic Rear-End Collision Mitigation for a Vehicle About to be Struck. 1 indexed citations

17.

Beal, Craig E. & J. Christian Gerdes. (2012). Model Predictive Control for Vehicle Stabilization at the Limits of Handling. IEEE Transactions on Control Systems Technology. 21(4). 1258–1269. 377 indexed citations breakdown →

18.

Beal, Craig E., et al.. (2011). Controlling Vehicle Instability Through Stable Handling Envelopes. 861–868. 24 indexed citations

19.

Beal, Craig E. & J. Christian Gerdes. (2010). Experimental Validation of a Linear Model Predictive Envelope Controller in the Presence of Vehicle Nonlinearities. IFAC Proceedings Volumes. 43(7). 25–30.

20.

Beal, Craig E. & J. Christian Gerdes. (2009). Enhancing Vehicle Stability Through Model Predictive Control. 197–204. 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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