Fahad Lateef

663 total citations · 1 hit paper
8 papers, 466 citations indexed

About

Fahad Lateef is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Fahad Lateef has authored 8 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Automotive Engineering and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Fahad Lateef's work include Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). Fahad Lateef is often cited by papers focused on Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). Fahad Lateef collaborates with scholars based in France, Pakistan and Malaysia. Fahad Lateef's co-authors include Yassine Ruichek, Asad Waqar, Ahmad Alzahrani, Saeed Mian Qaisar and Muhammad Usman and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Neurocomputing.

In The Last Decade

Fahad Lateef

7 papers receiving 453 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.

Survey on semantic segmentation using deep learning techniques

2019 398 citations Fahad Lateef, Yassine Ruichek Neurocomputing profile →

Peers

Fahad Lateef

CVPR

AI

MT

RNMI

EE

Yujian Mo China

Xinneng Yang China

Yujun Liao China

Lanyun Zhu China

Zhengeng Yang China

Kamal Kumar Ghanshala India

Zhenhang Huang China

Guangle Yao China

Qi Zou China

Yujian Mo China

Fahad Lateef

242 ×0.9

CVPR

110 ×1.0

AI

65 ×1.1

MT

24 ×0.5

RNMI

37 ×0.9

EE

Citations per year, relative to Fahad Lateef Fahad Lateef (= 1×) peers Yujian Mo

Countries citing papers authored by Fahad Lateef

Since Specialization

Citations

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

Fields of papers citing papers by Fahad Lateef

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fahad Lateef

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

All Works

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8 of 8 papers shown

1.

Lateef, Fahad, et al.. (2025). From GPS to AI: A comprehensive review of Unmanned Aerial Vehicle (UAV) localization solutions. ISPRS Journal of Photogrammetry and Remote Sensing. 230. 402–451.

2.

Lateef, Fahad, et al.. (2023). Motion and geometry-related information fusion through a framework for object identification from a moving camera in urban driving scenarios. Transportation Research Part C Emerging Technologies. 155. 104271–104271. 3 indexed citations

3.

Lateef, Fahad, et al.. (2023). An Empirical Analysis of the Mediating Role of Fear of COVID-19 Between Telecommuting and Employees Retention. Employee Responsibilities and Rights Journal. 36(3). 315–336. 5 indexed citations

4.

Qaisar, Saeed Mian, et al.. (2023). Investigating the Optimal DOD and Battery Technology for Hybrid Energy Generation Models in Cement Industry Using HOMER Pro. IEEE Access. 11. 81331–81347. 14 indexed citations

5.

Lateef, Fahad, et al.. (2021). Saliency Heat-Map as Visual Attention for Autonomous Driving Using Generative Adversarial Network (GAN). IEEE Transactions on Intelligent Transportation Systems. 23(6). 5360–5373. 37 indexed citations

6.

Lateef, Fahad, et al.. (2021). Temporal Semantics Auto-Encoding based Moving Objects Detection in Urban Driving Scenario. 1352–1358. 3 indexed citations

7.

Lateef, Fahad & Yassine Ruichek. (2019). Survey on semantic segmentation using deep learning techniques. Neurocomputing. 338. 321–348. 398 indexed citations breakdown →

8.

Lateef, Fahad, et al.. (2015). Power consumption measurement & configuration time of FPGA. 1–5. 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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