Ali Harakeh

2.6k total citations · 1 hit paper
10 papers, 1.5k citations indexed

About

Ali Harakeh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Ali Harakeh has authored 10 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Ali Harakeh's work include Advanced Neural Network Applications (5 papers), Advanced Vision and Imaging (3 papers) and Adversarial Robustness in Machine Learning (3 papers). Ali Harakeh is often cited by papers focused on Advanced Neural Network Applications (5 papers), Advanced Vision and Imaging (3 papers) and Adversarial Robustness in Machine Learning (3 papers). Ali Harakeh collaborates with scholars based in Canada, Lebanon and Algeria. Ali Harakeh's co-authors include Steven L. Waslander, Jason S. Ku, Jungwook Lee, Melissa Mozifian, Klaus Dietmayer, Di Feng, Seán Walsh, Elie Shammas, Daniel Asmar and Marco Pavone and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Intelligent Transportation Systems and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Ali Harakeh

10 papers receiving 1.4k 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.

Joint 3D Proposal Generation and Object Detection from View Aggregation

2018 1.0k citations Jason S. Ku, Melissa Mozifian et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ali Harakeh Canada	8	1.2k	650	317	264	181	10	1.5k
Jason S. Ku United States	10	1.3k 1.1×	747 1.1×	291 0.9×	264 1.0×	188 1.0×	26	1.7k
Tianwei Yin United States	4	1.1k 0.9×	509 0.8×	228 0.7×	169 0.6×	140 0.8×	7	1.3k
Melissa Mozifian Canada	4	876 0.7×	522 0.8×	250 0.8×	216 0.8×	154 0.9×	5	1.1k
Frank Moosmann Germany	11	961 0.8×	717 1.1×	283 0.9×	366 1.4×	234 1.3×	14	1.5k
Hans‐Joachim Wuensche Germany	20	908 0.8×	798 1.2×	675 2.1×	477 1.8×	212 1.2×	99	1.7k
Will Maddern United Kingdom	17	1.3k 1.1×	1.1k 1.7×	219 0.7×	227 0.9×	254 1.4×	19	1.7k
Xieyuanli Chen China	23	993 0.8×	1.1k 1.7×	150 0.5×	463 1.8×	482 2.7×	97	1.7k
Siyu Zhu China	14	1.2k 1.0×	395 0.6×	182 0.6×	138 0.5×	204 1.1×	35	1.4k
Gian Diego Tipaldi Germany	22	980 0.8×	979 1.5×	172 0.5×	140 0.5×	181 1.0×	41	1.6k
Geoffrey Pascoe United Kingdom	9	861 0.7×	739 1.1×	176 0.6×	165 0.6×	193 1.1×	9	1.2k

Countries citing papers authored by Ali Harakeh

Since Specialization

Citations

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

Fields of papers citing papers by Ali Harakeh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Harakeh

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Harakeh. A scholar is included among the top collaborators of Ali Harakeh 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 Ali Harakeh. Ali Harakeh 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:

10 of 10 papers shown

1.

Mahmoud, Anas, et al.. (2023). Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. 7102–7110. 16 indexed citations

2.

Harakeh, Ali, et al.. (2023). Estimating Regression Predictive Distributions with Sample Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7830–7838. 4 indexed citations

3.

Harrison, J. Michael, et al.. (2022). Bayesian Embeddings for Few-Shot Open World Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(3). 1513–1529. 15 indexed citations

4.

Feng, Di, Ali Harakeh, Steven L. Waslander, & Klaus Dietmayer. (2021). A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems. 23(8). 9961–9980. 179 indexed citations

5.

Harakeh, Ali & Steven L. Waslander. (2021). Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors. 17 indexed citations

6.

Ku, Jason S., Melissa Mozifian, Jungwook Lee, Ali Harakeh, & Steven L. Waslander. (2018). Joint 3D Proposal Generation and Object Detection from View Aggregation. 1–8. 1022 indexed citations breakdown →

7.

Lee, Jungwook, Seán Walsh, Ali Harakeh, & Steven L. Waslander. (2018). Leveraging Pre-Trained 3D Object Detection Models for Fast Ground Truth Generation. 88. 2504–2510. 20 indexed citations

8.

Ku, Jason S., Ali Harakeh, & Steven L. Waslander. (2018). In Defense of Classical Image Processing: Fast Depth Completion on the CPU. 16–22. 199 indexed citations

9.

Harakeh, Ali, Daniel Asmar, & Elie Shammas. (2016). Identifying Good Training Data for Self-Supervised Free Space Estimation. 12. 3530–3538. 3 indexed citations

10.

Harakeh, Ali, Daniel Asmar, & Elie Shammas. (2015). Ground segmentation and occupancy grid generation using probability fields. 695–702. 11 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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