Scott Lenser

507 total citations
13 papers, 292 citations indexed

About

Scott Lenser is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Scott Lenser has authored 13 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Control and Systems Engineering and 4 papers in Aerospace Engineering. Recurrent topics in Scott Lenser's work include Robotics and Sensor-Based Localization (4 papers), Robotic Path Planning Algorithms (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Scott Lenser is often cited by papers focused on Robotics and Sensor-Based Localization (4 papers), Robotic Path Planning Algorithms (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Scott Lenser collaborates with scholars based in United States. Scott Lenser's co-authors include Manuela Veloso, James Bruce, Tucker Balch, Douglas L. Vail, Sonia Chernova, Paul E. Rybski, Stephen G. Eick, Mario E. Munich, Chris Jones and Chen Yao and has published in prestigious journals such as Robotics and Autonomous Systems, AI Magazine and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Scott Lenser

13 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Scott Lenser United States	7	172	144	118	80	50	13	292
P. Buschka Sweden	6	248 1.4×	269 1.9×	106 0.9×	44 0.6×	98 2.0×	7	393
Axel Rottmann Germany	10	260 1.5×	231 1.6×	55 0.5×	49 0.6×	53 1.1×	13	372
R. Bunschoten Netherlands	10	195 1.1×	268 1.9×	88 0.7×	39 0.5×	74 1.5×	13	379
Tingting Xu China	9	72 0.4×	184 1.3×	61 0.5×	53 0.7×	40 0.8×	35	278
Sreenivasa Reddy Yeduri Norway	9	108 0.6×	117 0.8×	48 0.4×	81 1.0×	40 0.8×	34	298
Chule Yang Singapore	10	198 1.2×	198 1.4×	42 0.4×	40 0.5×	36 0.7×	24	310
Patrick Mihelich United States	6	249 1.4×	271 1.9×	44 0.4×	47 0.6×	91 1.8×	6	391
Felix Duvallet United States	9	45 0.3×	113 0.8×	117 1.0×	42 0.5×	95 1.9×	14	267
G. Ramel Switzerland	8	96 0.6×	167 1.2×	89 0.8×	23 0.3×	127 2.5×	10	304
Hongbiao Zhu China	7	113 0.7×	122 0.8×	39 0.3×	65 0.8×	45 0.9×	14	266

Countries citing papers authored by Scott Lenser

Since Specialization

Citations

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

Fields of papers citing papers by Scott Lenser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Lenser

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

All Works

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13 of 13 papers shown

1.

Lenser, Scott, et al.. (2023). Lifelong mapping in the wild: Novel strategies for ensuring map stability and accuracy over time evaluated on thousands of robots. Robotics and Autonomous Systems. 164. 104403–104403. 3 indexed citations

2.

Lenser, Scott, et al.. (2021). Preventing and Correcting Mistakes in Lifelong Mapping. 1–8. 1 indexed citations

3.

Eick, Stephen G., et al.. (2018). Fast Nonlinear Approximation of Pose Graph Node Marginalization. 22. 2494–2501. 4 indexed citations

4.

Lenser, Scott & Chris Jones. (2008). Practical problems in sliding scale autonomy: a case study. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6962. 69620J–69620J. 2 indexed citations

5.

Veloso, Manuela, Paul E. Rybski, Scott Lenser, Sonia Chernova, & Douglas L. Vail. (2006). CMRoboBits: Creating an Intelligent AIBO Robot. AI Magazine. 27(1). 67–82. 14 indexed citations

6.

Lenser, Scott & Manuela Veloso. (2006). Non-Parametric Time Series Classification. 3918–3923. 10 indexed citations

7.

Lenser, Scott & Manuela Veloso. (2005). Classification of robotic sensor streams using non-parametric statistics. 3. 2719–2724. 6 indexed citations

8.

Veloso, Manuela & Scott Lenser. (2005). On-line robot adaptation to environmental change. 4 indexed citations

9.

Lenser, Scott & Manuela Veloso. (2004). Automatic detection and response to environmental change. 1. 1416–1421. 14 indexed citations

10.

Lenser, Scott & Manuela Veloso. (2002). Sensor resetting localization for poorly modelled mobile robots. 2. 1225–1232. 190 indexed citations

11.

Lenser, Scott, James Bruce, & Manuela Veloso. (2001). CMPack. 204–211. 26 indexed citations

12.

Veloso, Manuela, et al.. (2000). Vision-servoed localization and behavior-based planning for an autonomous quadruped legged robot. 387–394. 16 indexed citations

13.

Veloso, Manuela, Tucker Balch, & Scott Lenser. (2000). Integrating information, planning, and execution monitoring agents. 132–133. 2 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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