Jorge Lobo

1.3k total citations
44 papers, 930 citations indexed

About

Jorge Lobo is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Jorge Lobo has authored 44 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 22 papers in Aerospace Engineering and 8 papers in Computer Networks and Communications. Recurrent topics in Jorge Lobo's work include Robotics and Sensor-Based Localization (21 papers), Advanced Vision and Imaging (18 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Jorge Lobo is often cited by papers focused on Robotics and Sensor-Based Localization (21 papers), Advanced Vision and Imaging (18 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Jorge Lobo collaborates with scholars based in Portugal, France and United Arab Emirates. Jorge Lobo's co-authors include Jorge Dias, Peter Corke, João Filipe Ferreira, Diego R. Faria, João P. Barreto, Anı́bal T. de Almeida, Pierre Bessìère, J.G. Alves, Miguel Castelo‐Branco and Paulo Menezes and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The International Journal of Robotics Research and IEEE Transactions on Cybernetics.

In The Last Decade

Jorge Lobo

42 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jorge Lobo Portugal	15	610	563	156	130	105	44	930
Mario E. Munich United States	17	399 0.7×	607 1.1×	150 1.0×	138 1.1×	70 0.7×	38	909
Nakju Lett Doh South Korea	17	535 0.9×	552 1.0×	110 0.7×	50 0.4×	185 1.8×	74	903
Hriday Bavle Spain	16	637 1.0×	596 1.1×	110 0.7×	184 1.4×	182 1.7×	39	1.0k
Jonathan Kelly Canada	16	692 1.1×	574 1.0×	254 1.6×	112 0.9×	142 1.4×	54	1.1k
Jingchuan Wang China	18	481 0.8×	581 1.0×	117 0.8×	65 0.5×	314 3.0×	89	1.1k
Joel A. Hesch United States	16	982 1.6×	788 1.4×	349 2.2×	102 0.8×	63 0.6×	22	1.2k
J.J. Guerrero Spain	25	995 1.6×	1.2k 2.1×	348 2.2×	100 0.8×	143 1.4×	108	1.7k
David Droeschel Germany	20	629 1.0×	587 1.0×	109 0.7×	47 0.4×	208 2.0×	33	1.0k
Carlo Masone Italy	16	419 0.7×	476 0.8×	103 0.7×	64 0.5×	238 2.3×	39	808
Pratik Agarwal Germany	10	385 0.6×	262 0.5×	150 1.0×	83 0.6×	50 0.5×	16	573

Countries citing papers authored by Jorge Lobo

Since Specialization

Citations

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

Fields of papers citing papers by Jorge Lobo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Lobo

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

All Works

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20 of 20 papers shown

Lobo, Jorge, et al.. (2019). Edge Computing: A Neural Network Implementation on an IoT Device. 244–246. 4 indexed citations

Lobo, Jorge & João Filipe Ferreira. (2017). Unconventional computing for Bayesian inference. International Journal of Approximate Reasoning. 88. 306–308. 1 indexed citations

Friedman, Joseph S., Jacques Droulez, Pierre Bessìère, Jorge Lobo, & Damien Querlioz. (2017). Approximation enhancement for stochastic Bayesian inference. International Journal of Approximate Reasoning. 85. 139–158. 10 indexed citations

Mazer, Emmanuel, et al.. (2017). Cognitive Computation. International Journal of Software Science and Computational Intelligence. 9(3). 37–58. 10 indexed citations

Mazer, Emmanuel, et al.. (2015). Cognitive computation: A Bayesian machine case study. 67–75. 8 indexed citations

Faria, Diego R., et al.. (2014). Knowledge-based reasoning from human grasp demonstrations for robot grasp synthesis. Robotics and Autonomous Systems. 62(6). 794–817. 15 indexed citations

Rocha, Rui P., David Portugal, Micael S. Couceiro, et al.. (2013). The CHOPIN project: Cooperation between human and rObotic teams in catastrophic incidents. 1–4. 17 indexed citations

Lobo, Jorge. (2012). Interactive Demonstration of a Remote Reconfigurable Logic Laboratory for Basic Digital Design. International Journal of Online and Biomedical Engineering (iJOE). 8(S1). 19–19. 7 indexed citations

Faria, Diego R., Jorge Lobo, & Jorge Dias. (2012). Identifying objects from hand configurations during in-hand exploration. 4. 132–137. 4 indexed citations

10.

Faria, Diego R., et al.. (2011). Extracting data from human manipulation of objects towards improving autonomous robotic grasping. Robotics and Autonomous Systems. 60(3). 396–410. 37 indexed citations

11.

Faria, Diego R., et al.. (2010). Probabilistic representation of 3D object shape by in-hand exploration. Estudo Geral (Universidade de Coimbra). 1560–1565. 9 indexed citations

12.

Lobo, Jorge & Jorge Dias. (2007). Relative Pose Calibration Between Visual and Inertial Sensors. The International Journal of Robotics Research. 26(6). 561–575. 161 indexed citations

13.

Lobo, Jorge, et al.. (2007). 3D Map Registration using Vision/Laser and Inertial Sensing.. 7 indexed citations

14.

Cavazzoni, Carlo, Didier Colle, Andrea Di Giglio, et al.. (2005). Evolution of optical transport networks in Europe: the NOBEL project vision. Ghent University Academic Bibliography (Ghent University). 1 indexed citations

15.

Lobo, Jorge, et al.. (2003). World feature detection and mapping using stereovision and inertial sensors. Robotics and Autonomous Systems. 44(1). 69–81. 18 indexed citations

16.

Lobo, Jorge, et al.. (2003). Segmentation of dense depth maps using inertial data a real-time implementation. 1. 92–97. 2 indexed citations

17.

Lobo, Jorge, et al.. (2002). Short-range DGPS for mobile robots with wireless Ethernet links. 334–339.

18.

Dias, Jorge, et al.. (2002). COOPERATION BETWEEN VISUAL AND INERTIAL INFORMATION FOR 3D VISION. 5 indexed citations

19.

Lobo, Jorge & Jorge Dias. (2002). Fusing of image and inertial sensing for camera calibration. 103–108. 10 indexed citations

20.

Lobo, Jorge & Jorge Dias. (2002). Integration of inertial information with vision towards robot autonomy. 825–830. 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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