Mansur Arief

472 total citations · 1 hit paper
21 papers, 274 citations indexed

About

Mansur Arief is a scholar working on Automotive Engineering, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Mansur Arief has authored 21 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Automotive Engineering, 5 papers in Artificial Intelligence and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Mansur Arief's work include Autonomous Vehicle Technology and Safety (6 papers), Risk and Safety Analysis (4 papers) and Simulation Techniques and Applications (3 papers). Mansur Arief is often cited by papers focused on Autonomous Vehicle Technology and Safety (6 papers), Risk and Safety Analysis (4 papers) and Simulation Techniques and Applications (3 papers). Mansur Arief collaborates with scholars based in United States, Indonesia and China. Mansur Arief's co-authors include Ding Zhao, Bo Li, Wenhao Ding, Chejian Xu, Henry Lam, Zhiyuan Huang, Zuxin Liu, I Nyoman Pujawan, Benny Tjahjono and Duangpun Kritchanchai and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and International Journal of Physical Distribution & Logistics Management.

In The Last Decade

Mansur Arief

20 papers receiving 266 citations

Hit Papers

A Survey on Safety-Critical Driving Scenario Generation—A... 2023 2026 2024 2025 2023 25 50 75 100
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.

  1. A Survey on Safety-Critical Driving Scenario Generation—A Methodological Perspective
    2023 119 citations Wenhao Ding, Chejian Xu et al. IEEE Transactions on Intelligent Transportation Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mansur Arief United States 9 164 63 51 48 40 21 274
Xianan Huang China 7 174 1.1× 111 1.8× 54 1.1× 42 0.9× 20 0.5× 18 292
Erwin de Gelder Netherlands 11 244 1.5× 104 1.7× 118 2.3× 50 1.0× 26 0.7× 19 321
Thomas Ponn Germany 4 237 1.4× 93 1.5× 115 2.3× 59 1.2× 38 0.9× 6 338
Kazutoshi Nobukawa United States 6 305 1.9× 166 2.6× 158 3.1× 49 1.0× 28 0.7× 8 409
Daocheng Fu China 8 75 0.5× 76 1.2× 21 0.4× 54 1.1× 45 1.1× 16 253
Michael Botsch Germany 10 165 1.0× 49 0.8× 46 0.9× 59 1.2× 71 1.8× 46 301
H. Kawashima Japan 10 82 0.5× 79 1.3× 20 0.4× 17 0.4× 18 0.5× 57 285
Yujie Li United States 6 197 1.2× 172 2.7× 53 1.0× 40 0.8× 33 0.8× 9 323
Paul Ha United States 8 152 0.9× 152 2.4× 44 0.9× 37 0.8× 29 0.7× 11 275
Mohammad Mesgarpour United Kingdom 8 90 0.5× 78 1.2× 58 1.1× 23 0.5× 30 0.8× 16 390

Countries citing papers authored by Mansur Arief

Since Specialization
Citations

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

Fields of papers citing papers by Mansur Arief

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mansur Arief

This figure shows the co-authorship network connecting the top 25 collaborators of Mansur Arief. A scholar is included among the top collaborators of Mansur Arief 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 Mansur Arief. Mansur Arief 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.
Sharma, Ashwini Kumar & Mansur Arief. (2025). Hydrogen in Aviation: Evaluating the Feasibility and Benefits of a Green Fuel Alternative. 2(1). 2 indexed citations
2.
3.
Arief, Mansur, et al.. (2025). Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows. Proceedings of the AAAI Conference on Artificial Intelligence. 39(17). 17983–17989. 1 indexed citations
4.
Arief, Mansur, et al.. (2024). Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments. IEEE Robotics and Automation Letters. 10(2). 1098–1105. 1 indexed citations
5.
Ding, Wenhao, et al.. (2023). A Survey on Safety-Critical Driving Scenario Generation—A Methodological Perspective. IEEE Transactions on Intelligent Transportation Systems. 24(7). 6971–6988. 119 indexed citations breakdown →
6.
Arief, Mansur, Zhenyuan Liu, Zhiyuan Huang, et al.. (2022). Certifiable Evaluation for Autonomous Vehicle Perception Systems using Deep Importance Sampling (Deep IS). 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 1736–1742. 2 indexed citations
7.
8.
Vanany, Iwan, et al.. (2022). Designing an Optimized Electric Vehicle Charging Station Infrastructure for Urban Area: A Case study from Indonesia. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 2812–2817. 4 indexed citations
9.
Arief, Mansur, et al.. (2022). An Optimized and Safety-aware Maintenance Framework: A Case Study on Aircraft Engine. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 2057–2062. 1 indexed citations
10.
Arief, Mansur, et al.. (2020). Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy.. 3 indexed citations
11.
Arief, Mansur, et al.. (2019). Density-Adaptive Sampling for Heterogeneous Point Cloud Object Segmentation in Autonomous Vehicle Applications. Computer Vision and Pattern Recognition. 26–33. 5 indexed citations
12.
Huang, Zhiyuan, Mansur Arief, Henry Lam, & Ding Zhao. (2019). Evaluation Uncertainty in Data-Driven Self-Driving Testing. 1902–1907. 8 indexed citations
13.
Liu, Zuxin, Mansur Arief, & Ding Zhao. (2019). Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach. arXiv (Cornell University). 2793–2799. 17 indexed citations
14.
Arief, Mansur, et al.. (2019). Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field. 3974–3980. 28 indexed citations
15.
Arief, Mansur, Peter W. Glynn, & Ding Zhao. (2018). An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets. 2006–2011. 11 indexed citations
16.
Huang, Zhiyuan, Mansur Arief, Henry Lam, & Ding Zhao. (2018). Synthesis of Different Autonomous Vehicles Test Approaches. 2000–2005. 11 indexed citations
17.
Huang, Zhiyuan, et al.. (2018). A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods. 4796–4802. 18 indexed citations
18.
19.
Purwaningsih, Ratna, et al.. (2018). Market risk assessment on poultry industry using Monte Carlo simulation. IOP Conference Series Materials Science and Engineering. 403. 12044–12044. 6 indexed citations
20.
Pujawan, I Nyoman, Mansur Arief, Benny Tjahjono, & Duangpun Kritchanchai. (2015). An integrated shipment planning and storage capacity decision under uncertainty. International Journal of Physical Distribution & Logistics Management. 45(9/10). 913–937. 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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