Yasir Latif
- Geology top 0.5%
- 3D Surveying and Cultural Heritage 3
- Aerospace Engineering top 0.2%
- Robotics and Sensor-Based Localization 23
- Space Satellite Systems and Control 3
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- Advanced Image and Video Retrieval Techniques 13
- Advanced Vision and Imaging 6
- Multimodal Machine Learning Applications 5
- Robotic Path Planning Algorithms 4
- Environmental Engineering top 5%
- Ocean Engineering top 2%
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- Indoor and Outdoor Localization Technologies 6
- Co-authors
- José NeiraCésar CadenaIan ReidHenry CarrilloJohn J. LeonardLuca CarloneDavide ScaramuzzaTrung Pham
- Journals
- The International Journal of Robotics Research (1 paper)Machine Learning (1 paper)Robotics and Autonomous Systems (1 paper)
- Partner nations
- AustraliaSpainUnited States
In The Last Decade
Yasir Latif
30 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Geology 564
- Aerospace Engineering 2.5k
- Computer Vision and Pattern Recognition 1.9k
- Environmental Engineering 256
- Ocean Engineering 266
Countries citing papers authored by Yasir Latif
This map shows the geographic impact of Yasir Latif'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 Yasir Latif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasir Latif more than expected).
Fields of papers citing papers by Yasir Latif
This network shows the impact of papers produced by Yasir Latif. 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 Yasir Latif. The network helps show where Yasir Latif may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasir Latif, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 23 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 2 | |
| 9 | 2021 | 2 | |
| 10 | 2019 | 40 | |
| 11 | Towards Semantic SLAM: Points, Planes and Objects | 2018 | 4 |
| 12 | Meaningful maps – Object-oriented semantic mapping | 2017 | 148 |
| 13 | 2017 | 5 | |
| 14 | 2017 | 11 | |
| 15 | Simultaneous Localization And Mapping: Present, Future, and the Robust-Perception Age. | 2016 | 51 |
| 16 | 2016 | 12 | |
| 17 | 2015 | 25 | |
| 18 | 2014 | 8 | |
| 19 | 2013 | 155 | |
| 20 | 2012 | 21 |
About Yasir Latif
Yasir Latif is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Geology, having authored 32 papers that have together received 2.9k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (23 papers), Advanced Image and Video Retrieval Techniques (13 papers), Indoor and Outdoor Localization Technologies (6 papers), Advanced Vision and Imaging (6 papers), Multimodal Machine Learning Applications (5 papers), Robotic Path Planning Algorithms (4 papers), Space Satellite Systems and Control (3 papers) and 3D Surveying and Cultural Heritage (3 papers). The work is most often cited by research in Geology (564 citations), Aerospace Engineering (2.5k citations) and Computer Vision and Pattern Recognition (1.9k citations). Yasir Latif has collaborated with scholars based in Australia, Spain and United States. Frequent co-authors include José Neira, César Cadena, Ian Reid, Henry Carrillo, John J. Leonard, Luca Carlone, Davide Scaramuzza, Trung Pham, Michael Milford and Niko Sünderhauf. Their work appears in journals such as The International Journal of Robotics Research, Machine Learning and Robotics and Autonomous Systems.
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.