Daniel J. Auger

2.4k total citations · 1 hit paper
70 papers, 1.9k citations indexed

About

Daniel J. Auger is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Daniel J. Auger has authored 70 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Automotive Engineering, 40 papers in Electrical and Electronic Engineering and 13 papers in Control and Systems Engineering. Recurrent topics in Daniel J. Auger's work include Advanced Battery Technologies Research (50 papers), Advancements in Battery Materials (26 papers) and Electric and Hybrid Vehicle Technologies (21 papers). Daniel J. Auger is often cited by papers focused on Advanced Battery Technologies Research (50 papers), Advancements in Battery Materials (26 papers) and Electric and Hybrid Vehicle Technologies (21 papers). Daniel J. Auger collaborates with scholars based in United Kingdom, Denmark and China. Daniel J. Auger's co-authors include Abbas Fotouhi, Karsten Propp, Stefano Longo, Mark Wild, Sylwia Waluś, Laura O’Neill, Václav Knap, Yifan Zhao, Mark J. M. Sullman and Dongpu Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Power Sources.

In The Last Decade

Daniel J. Auger

64 papers receiving 1.8k 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.

A review on electric vehicle battery modelling: From Lithium-ion toward Lithium–Sulphur

2015 619 citations Abbas Fotouhi, Daniel J. Auger et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel J. Auger United Kingdom	19	1.5k	1.4k	295	104	101	70	1.9k
Stefano Longo United Kingdom	19	1.3k 0.9×	1.1k 0.8×	511 1.7×	57 0.5×	35 0.3×	79	1.8k
Andrew McGordon United Kingdom	26	2.1k 1.4×	2.0k 1.4×	220 0.7×	102 1.0×	19 0.2×	97	2.4k
Abbas Fotouhi United Kingdom	23	1.8k 1.2×	1.7k 1.2×	331 1.1×	63 0.6×	9 0.1×	66	2.2k
Ákos Kriston Netherlands	19	1.1k 0.7×	1.2k 0.8×	137 0.5×	126 1.2×	13 0.1×	46	1.5k
Yaojie Sun China	18	301 0.2×	671 0.5×	178 0.6×	37 0.4×	23 0.2×	89	965
Paul Takyi‐Aninakwa China	21	1.5k 1.0×	1.4k 1.0×	594 2.0×	144 1.4×	5 0.0×	48	1.9k
Xiaosong Hu China	21	1.3k 0.9×	1.2k 0.8×	406 1.4×	155 1.5×	8 0.1×	48	1.6k
Safat B. Wali Malaysia	14	414 0.3×	628 0.4×	272 0.9×	23 0.2×	8 0.1×	18	1.0k
Rochdi Trigui France	27	1.8k 1.2×	1.5k 1.0×	355 1.2×	17 0.2×	17 0.2×	78	2.1k

Countries citing papers authored by Daniel J. Auger

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Auger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Auger. 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 Daniel J. Auger. The network helps show where Daniel J. Auger may publish in the future.

Co-authorship network of co-authors of Daniel J. Auger

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Auger. A scholar is included among the top collaborators of Daniel J. Auger 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 Daniel J. Auger. Daniel J. Auger 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

Auger, Daniel J., et al.. (2025). Lane Centerline Extraction Based on Surveyed Boundaries: An Efficient Approach Using Maximal Disks. Sensors. 25(8). 2571–2571.

Auger, Daniel J., et al.. (2025). Deep‐learning‐based vehicle trajectory prediction: A review. IET Intelligent Transport Systems. 19(1). 4 indexed citations

Fotouhi, Abbas, et al.. (2025). Thermal Modelling and Temperature Estimation of a Cylindrical Lithium Iron Phosphate Cell Subjected to an Automotive Duty Cycle. SHILAP Revista de lepidopterología. 11(4). 119–119.

Fotouhi, Abbas, et al.. (2024). A novel hybrid electrochemical equivalent circuit model for online battery management systems. Journal of Energy Storage. 99. 113142–113142. 13 indexed citations

Liu, Xuze, et al.. (2024). Optimal Control of Race Car With Aerodynamic Slipstreaming Effect. IEEE Transactions on Control Systems Technology. 32(6). 2136–2148.

Fotouhi, Abbas, et al.. (2024). Battery Temperature Prediction in Electric Vehicles Using Bayesian Regularization. 1–4. 1 indexed citations

Liu, Xuze, Abbas Fotouhi, & Daniel J. Auger. (2022). Energy-optimal overtaking manoeuvres of Formula-E cars. Vehicle System Dynamics. 61(8). 2023–2050. 2 indexed citations

Auger, Daniel J., et al.. (2022). Charging characterization of a high‐capacity lithium‐sulfur pouch cell for state estimation: An experimental approach. Energy Storage. 5(3). 2 indexed citations

Fotouhi, Abbas, et al.. (2022). Development of a Hybrid Adaptive Neuro-fuzzy Inference System with Coulomb-Counting State-of-Charge Estimator for Lithium–Sulphur Battery. International Journal of Fuzzy Systems. 25(2). 407–422. 7 indexed citations

10.

Liu, Xuze, Abbas Fotouhi, & Daniel J. Auger. (2021). Formula-E race strategy development using distributed policy gradient reinforcement learning. Knowledge-Based Systems. 216. 106781–106781. 7 indexed citations

11.

Auger, Daniel J., et al.. (2021). An Experimental Study on Prototype Lithium–Sulfur Cells for Aging Analysis and State-of-Health Estimation. IEEE Transactions on Transportation Electrification. 7(3). 1324–1338. 31 indexed citations

12.

Velenis, Efstathios, et al.. (2020). Driver distraction detection using machine learning algorithms: an experimental approach. International Journal of Vehicle Design. 83(2/3/4). 122–122. 6 indexed citations

13.

Knap, Václav, Daniel‐Ioan Stroe, Rajlakshmi Purkayastha, et al.. (2018). Reference Performance Test Methodology for Degradation Assessment of Lithium-Sulfur Batteries. Journal of The Electrochemical Society. 165(9). A1601–A1609. 18 indexed citations

14.

Knap, Václav, Daniel‐Ioan Stroe, Rajlakshmi Purkayastha, et al.. (2017). Methodology for Assessing the Lithium-Sulfur Battery Degradation for Practical Applications. ECS Transactions. 77(11). 479–490. 7 indexed citations

15.

Propp, Karsten, Abbas Fotouhi, Václav Knap, & Daniel J. Auger. (2016). Design, Build and Validation of a Low-Cost Programmable Battery Cycler. ECS Transactions. 74(1). 101–111. 2 indexed citations

16.

Fotouhi, Abbas, Daniel J. Auger, Stefano Longo, et al.. (2016). A MATLAB graphical user interface for battery design and simulation; from cell test data to real-world automotive simulation. CERES (Cranfield University). 1–6. 7 indexed citations

17.

Propp, Karsten, Abbas Fotouhi, & Daniel J. Auger. (2015). Low-cost programmable battery dischargers and application in battery model identification. CERES (Cranfield University). 225–230. 10 indexed citations

18.

Auger, Daniel J.. (2006). Importance of big-game non-resident hunters: the case of moose hunting in the state of Maine.. University of Zagreb University Computing Centre (SRCE). 54(3). 271–285. 2 indexed citations

19.

Auger, Daniel J.. (2004). Profile of Canada's network of protected areas and its link to potential nature-based tourism and outdoor recreation development.. 52(4). 329–340. 3 indexed citations

20.

Karlis, George, et al.. (1996). Three approaches to community development: a model for recreation organizations.. 21(2). 131–141. 6 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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