Lorenzo Riano

969 total citations · 1 hit paper
15 papers, 594 citations indexed

About

Lorenzo Riano is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Lorenzo Riano has authored 15 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Control and Systems Engineering. Recurrent topics in Lorenzo Riano's work include Robotic Path Planning Algorithms (6 papers), Robot Manipulation and Learning (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Lorenzo Riano is often cited by papers focused on Robotic Path Planning Algorithms (6 papers), Robot Manipulation and Learning (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Lorenzo Riano collaborates with scholars based in United States, United Kingdom and Italy. Lorenzo Riano's co-authors include Pieter Abbeel, Siddharth Srivastava, Eugene Fang, Rohan Chitnis, Stuart Russell, Trevor Darrell, Craig G. McDonald, Katherine J. Kuchenbecker, T.M. McGinnity and Yangqing Jia and has published in prestigious journals such as Robotics and Autonomous Systems, Evolving Systems and Nova Science Publishers (Nova Science Publishers, Inc.).

In The Last Decade

Lorenzo Riano

15 papers receiving 563 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.

Combined task and motion planning through an extensible planner-independent interface layer

2014 284 citations Siddharth Srivastava, Eugene Fang et al. profile →

Peers

Lorenzo Riano

CVPR

CSE

AI

CN

BE

Alexis Maldonado Germany

Scott Niekum United States

Emmanuel Mazer France

Karinne Ramírez-Amaro Germany

Lorenz Mösenlechner Germany

Matteo Saveriano Italy

Ulrich Klank Germany

Harish Ravichandar United States

Rudolf Lioutikov Germany

Dirk Kraft Denmark

Alexis Maldonado Germany

Lorenzo Riano

197 ×0.6

CVPR

243 ×0.8

CSE

135 ×0.5

AI

65 ×0.6

CN

102 ×1.4

BE

Citations per year, relative to Lorenzo Riano Lorenzo Riano (= 1×) peers Alexis Maldonado

Countries citing papers authored by Lorenzo Riano

Since Specialization

Citations

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

Fields of papers citing papers by Lorenzo Riano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Riano

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

All Works

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15 of 15 papers shown

1.

Srivastava, Siddharth, Eugene Fang, Lorenzo Riano, et al.. (2014). Combined task and motion planning through an extensible planner-independent interface layer. 639–646. 284 indexed citations breakdown →

2.

Riano, Lorenzo, et al.. (2014). Robotic learning of haptic adjectives through physical interaction. Robotics and Autonomous Systems. 63. 279–292. 89 indexed citations

3.

Srivastava, Siddharth, Lorenzo Riano, Stuart Russell, & Pieter Abbeel. (2013). Using Classical Planners for Tasks with Continuous Operators in Robotics. National Conference on Artificial Intelligence. 85–91. 15 indexed citations

4.

Guadarrama, Sergio, Lorenzo Riano, Yangqing Jia, et al.. (2013). Grounding spatial relations for human-robot interaction. 1640–1647. 82 indexed citations

5.

Riano, Lorenzo, et al.. (2013). Using robotic exploratory procedures to learn the meaning of haptic adjectives. 3048–3055. 72 indexed citations

6.

Riano, Lorenzo & T.M. McGinnity. (2012). Autonomous Skills Creation and Integration in Robotics. National Conference on Artificial Intelligence. 2 indexed citations

7.

Konidaris, George, Byron Boots, Stephen Hart, et al.. (2012). Designing intelligent robots : reintegrating AI : papers from the AAAI Spring Symposium. 4 indexed citations

8.

Riano, Lorenzo & T.M. McGinnity. (2012). Automatically composing and parameterizing skills by evolving Finite State Automata. Robotics and Autonomous Systems. 60(4). 639–650. 13 indexed citations

9.

Riano, Lorenzo & T.M. McGinnity. (2011). Quantifying the role of complexity in a system’s performance. Evolving Systems. 2(3). 189–198. 7 indexed citations

10.

Riano, Lorenzo, et al.. (2011). A Study of Enhanced Robot Autonomy in Telepresence. Ulster University Research Portal (Ulster University). 271–283. 12 indexed citations

11.

Riano, Lorenzo & T.M. McGinnity. (2010). Design and Validation of a Robotic System to Interactively Teach Geometry. 2. 91–96. 1 indexed citations

12.

Nehmzow, Ulrich & Lorenzo Riano. (2009). A Proposal For Continual Learning In Robotics. 1 indexed citations

13.

Macaluso, Irene, et al.. (2008). A Brain Inspired Architecture for an Outdoor Robot Guide. 27–34. 2 indexed citations

14.

Chella, Antonio, Irene Macaluso, & Lorenzo Riano. (2007). Automatic Landmark Detection and Recognition in Autonomous Robotics. Nova Science Publishers (Nova Science Publishers, Inc.). 1 indexed citations

15.

Chella, Antonio, Irene Macaluso, & Lorenzo Riano. (2007). Automatic place detection and localization in autonomous robotics. Nova Science Publishers (Nova Science Publishers, Inc.). 741–746. 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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