Abraham Monrroy

887 total citations · 1 hit paper
10 papers, 574 citations indexed

About

Abraham Monrroy is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Automotive Engineering. According to data from OpenAlex, Abraham Monrroy has authored 10 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Environmental Engineering and 4 papers in Automotive Engineering. Recurrent topics in Abraham Monrroy's work include Remote Sensing and LiDAR Applications (5 papers), Autonomous Vehicle Technology and Safety (4 papers) and 3D Surveying and Cultural Heritage (3 papers). Abraham Monrroy is often cited by papers focused on Remote Sensing and LiDAR Applications (5 papers), Autonomous Vehicle Technology and Safety (4 papers) and 3D Surveying and Cultural Heritage (3 papers). Abraham Monrroy collaborates with scholars based in Japan and Malaysia. Abraham Monrroy's co-authors include Shinpei Kato, Manato Hirabayashi, Yuki Kitsukawa, Yusuke Fujii, Yuya Maruyama, Takuya Azumi, Masato Edahiro, Alexander Carballo, Eijiro Takeuchi and Jacob Lambert and has published in prestigious journals such as IEEE Access, Sensors and Robotics and Autonomous Systems.

In The Last Decade

Abraham Monrroy

8 papers receiving 558 citations

Hit Papers

Autoware on Board: Enabling Autonomous Vehicles with Embe... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abraham Monrroy Japan 6 232 223 151 94 87 10 574
Yuki Kitsukawa Japan 5 182 0.8× 148 0.7× 119 0.8× 51 0.5× 71 0.8× 8 439
Manato Hirabayashi Japan 6 196 0.8× 195 0.9× 99 0.7× 44 0.5× 81 0.9× 16 496
Ciarán Hughes Ireland 12 159 0.7× 478 2.1× 116 0.8× 36 0.4× 229 2.6× 24 847
Chulhoon Jang South Korea 9 295 1.3× 209 0.9× 80 0.5× 37 0.4× 131 1.5× 11 557
Chris Urmson United States 12 473 2.0× 491 2.2× 172 1.1× 83 0.9× 68 0.8× 21 822
Romuald Aufrère France 13 347 1.5× 337 1.5× 200 1.3× 111 1.2× 161 1.9× 41 661
Jianmin Ji China 15 91 0.4× 404 1.8× 251 1.7× 88 0.9× 46 0.5× 70 738
C. Urmson United States 12 199 0.9× 457 2.0× 349 2.3× 50 0.5× 51 0.6× 15 718
Roland Chapuis France 15 346 1.5× 498 2.2× 340 2.3× 124 1.3× 242 2.8× 69 883

Countries citing papers authored by Abraham Monrroy

Since Specialization
Citations

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

Fields of papers citing papers by Abraham Monrroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abraham Monrroy

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

All Works

10 of 10 papers shown
1.
Nguyen, Anh V., Abraham Monrroy, Masato Edahiro, & Shinpei Kato. (2023). GPU-Accelerated 3D Normal Distributions Transform. Journal of Robotics and Mechatronics. 35(2). 445–459.
2.
Monrroy, Abraham, Jacob Lambert, Masato Edahiro, & Shinpei Kato. (2022). Single-Shot Intrinsic Calibration for Autonomous Driving Applications. Sensors. 22(5). 2067–2067. 3 indexed citations
3.
Carballo, Alexander, Abraham Monrroy, David Wong, et al.. (2021). Characterization of Multiple 3D LiDARs for Localization and Mapping Performance using the NDT Algorithm. 327–334. 16 indexed citations
4.
Nguyen, Anh, Abraham Monrroy, Masato Edahiro, & Shinpei Kato. (2020). Fast Euclidean Cluster Extraction Using GPUs. Journal of Robotics and Mechatronics. 32(3). 548–560. 11 indexed citations
5.
Lambert, Jacob, Alexander Carballo, Abraham Monrroy, et al.. (2020). Performance Analysis of 10 Models of 3D LiDARs for Automated Driving. IEEE Access. 8. 131699–131722. 62 indexed citations
6.
Monrroy, Abraham, Eijiro Takeuchi, Shinpei Kato, & Masato Edahiro. (2019). An Open Multi-Sensor Fusion Toolbox for Autonomous Vehicles. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E103.A(1). 252–264. 1 indexed citations
7.
Kato, Shinpei, et al.. (2018). Deep Learning on Large-Scale Muticore Clusters. 314–321. 1 indexed citations
8.
Monrroy, Abraham, et al.. (2018). LMNet: Real-time Multiclass Object Detection on CPU Using 3D LiDAR. 28–34. 45 indexed citations
9.
Hirabayashi, Manato, et al.. (2018). Traffic light recognition using high-definition map features. Robotics and Autonomous Systems. 111. 62–72. 39 indexed citations
10.
Kato, Shinpei, Yuya Maruyama, Manato Hirabayashi, et al.. (2018). Autoware on Board: Enabling Autonomous Vehicles with Embedded Systems. 287–296. 396 indexed citations breakdown →

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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