Hriday Bavle

1.6k total citations
39 papers, 1.0k citations indexed

About

Hriday Bavle is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Hriday Bavle has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Aerospace Engineering, 29 papers in Computer Vision and Pattern Recognition and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Hriday Bavle's work include Robotics and Sensor-Based Localization (28 papers), Robotic Path Planning Algorithms (23 papers) and UAV Applications and Optimization (7 papers). Hriday Bavle is often cited by papers focused on Robotics and Sensor-Based Localization (28 papers), Robotic Path Planning Algorithms (23 papers) and UAV Applications and Optimization (7 papers). Hriday Bavle collaborates with scholars based in Spain, Luxembourg and United States. Hriday Bavle's co-authors include Pascual Campoy, Carlos Sampedro, José Luis Sánchez-López, Alejandro Rodríguez-Ramos, Paloma de la Puente, Martín Molina, Holger Voos, Adrián Carrio, Ramón A. Suárez Fernández and Ali Tourani and has published in prestigious journals such as IEEE Access, Sensors and Light Science & Applications.

In The Last Decade

Hriday Bavle

37 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hriday Bavle Spain 16 637 596 184 182 146 39 1.0k
José Luis Sánchez-López Luxembourg 21 847 1.3× 859 1.4× 126 0.7× 280 1.5× 153 1.0× 75 1.5k
Huimin Lu China 18 490 0.8× 589 1.0× 140 0.8× 184 1.0× 225 1.5× 117 1.1k
John G. Rogers United States 17 547 0.9× 533 0.9× 137 0.7× 151 0.8× 128 0.9× 62 912
Miguel Olivares-Mendez Luxembourg 19 792 1.2× 775 1.3× 140 0.8× 310 1.7× 165 1.1× 112 1.4k
Junhao Xiao China 18 488 0.8× 519 0.9× 108 0.6× 193 1.1× 154 1.1× 85 1.1k
Gian Luca Mariottini United States 17 566 0.9× 689 1.2× 99 0.5× 330 1.8× 364 2.5× 38 1.2k
Paloma de la Puente Spain 14 425 0.7× 400 0.7× 146 0.8× 132 0.7× 93 0.6× 32 721
N. Tomatis Switzerland 12 446 0.7× 435 0.7× 120 0.7× 155 0.9× 83 0.6× 21 715
Andrej Babinec Slovakia 13 443 0.7× 672 1.1× 102 0.6× 320 1.8× 113 0.8× 38 981
Alex Teichman United States 10 316 0.5× 639 1.1× 229 1.2× 214 1.2× 67 0.5× 11 1.3k

Countries citing papers authored by Hriday Bavle

Since Specialization
Citations

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

Fields of papers citing papers by Hriday Bavle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hriday Bavle

This figure shows the co-authorship network connecting the top 25 collaborators of Hriday Bavle. A scholar is included among the top collaborators of Hriday Bavle 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 Hriday Bavle. Hriday Bavle 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.
Bavle, Hriday, et al.. (2025). Tightly Coupled SLAM With Imprecise Architectural Plans. IEEE Robotics and Automation Letters. 10(8). 8019–8026.
2.
Bavle, Hriday, et al.. (2024). Multi S-Graphs: An Efficient Distributed Semantic-Relational Collaborative SLAM. IEEE Robotics and Automation Letters. 9(6). 6004–6011. 8 indexed citations
3.
Bavle, Hriday, et al.. (2024). Graph-Based vs. Error State Kalman Filter-Based Fusion of 5G and Inertial Data for MAV Indoor Pose Estimation. Journal of Intelligent & Robotic Systems. 110(2). 3 indexed citations
4.
Tourani, Ali, et al.. (2024). Vision-Based Situational Graphs Exploiting Fiducial Markers for the Integration of Semantic Entities. Robotics. 13(7). 106–106. 2 indexed citations
5.
Bavle, Hriday, et al.. (2024). Learning High-level Semantic-Relational Concepts for SLAM. UvA-DARE (University of Amsterdam). 9803–9810. 1 indexed citations
6.
Lu, Liang, et al.. (2023). A comprehensive survey on non‐cooperative collision avoidance for micro aerial vehicles: Sensing and obstacle detection. Journal of Field Robotics. 40(6). 1697–1720. 17 indexed citations
7.
Bavle, Hriday, et al.. (2023). From SLAM to Situational Awareness: Challenges and Survey. Sensors. 23(10). 4849–4849. 30 indexed citations
8.
Bavle, Hriday, et al.. (2023). Graph-Based Global Robot Localization Informing Situational Graphs with Architectural Graphs. 9155–9162. 7 indexed citations
9.
Tourani, Ali, Hriday Bavle, José Luis Sánchez-López, Rafael Muñoz‐Salinas, & Holger Voos. (2023). Marker-Based Visual SLAM Leveraging Hierarchical Representations. Open Repository and Bibliography (University of Luxembourg). 3461–3467. 4 indexed citations
10.
Bavle, Hriday, et al.. (2023). Robot Localization Using Situational Graphs (S-Graphs) and Building Architectural Plans. Robotics. 12(3). 65–65. 2 indexed citations
11.
Geng, Yong, Rijeesh Kizhakidathazhath, Yan‐Song Zhang, et al.. (2022). Unclonable human-invisible machine vision markers leveraging the omnidirectional chiral Bragg diffraction of cholesteric spherical reflectors. Light Science & Applications. 11(1). 309–309. 23 indexed citations
12.
Bavle, Hriday, et al.. (2022). Situational Graphs for Robot Navigation in Structured Indoor Environments. IEEE Robotics and Automation Letters. 7(4). 9107–9114. 28 indexed citations
13.
Puente, Paloma de la, et al.. (2022). Performance Analysis of Localization Algorithms for Inspections in 2D and 3D Unstructured Environments Using 3D Laser Sensors and UAVs. Sensors. 22(14). 5122–5122. 3 indexed citations
14.
Bavle, Hriday, et al.. (2022). A Review of Radio Frequency Based Localisation for Aerial and Ground Robots with 5G Future Perspectives. Sensors. 23(1). 188–188. 14 indexed citations
15.
Tourani, Ali, Hriday Bavle, José Luis Sánchez-López, & Holger Voos. (2022). Visual SLAM: What Are the Current Trends and What to Expect?. Sensors. 22(23). 9297–9297. 61 indexed citations
16.
Bavle, Hriday, et al.. (2018). Stereo Visual Odometry and Semantics based Localization of Aerial Robots in Indoor Environments. Open Repository and Bibliography (University of Luxembourg). 1018–1023. 10 indexed citations
17.
Carrio, Adrián, Hriday Bavle, & Pascual Campoy. (2018). Attitude estimation using horizon detection in thermal images. International Journal of Micro Air Vehicles. 10(4). 352–361. 11 indexed citations
18.
Molina, Martín, et al.. (2017). Human-Robot Cooperation in Surface Inspection Aerial Missions. Open Repository and Bibliography (University of Luxembourg). 1 indexed citations
19.
Sánchez-López, José Luis, Hriday Bavle, Carlos Sampedro, et al.. (2016). AEROSTACK: An architecture and open-source software framework for aerial robotics. Open Repository and Bibliography (University of Luxembourg). 332–341. 54 indexed citations
20.
Molina, Martín, et al.. (2016). Specifying Complex Missions for Aerial Robotics in Dynamic Environments. Open Repository and Bibliography (University of Luxembourg). 9 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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