Shane Griffith

522 total citations
11 papers, 316 citations indexed

About

Shane Griffith is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shane Griffith has authored 11 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 4 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shane Griffith's work include Robot Manipulation and Learning (5 papers), Language and cultural evolution (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Shane Griffith is often cited by papers focused on Robot Manipulation and Learning (5 papers), Language and cultural evolution (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Shane Griffith collaborates with scholars based in United States and France. Shane Griffith's co-authors include Jonathan Scholz, K.A. Subramanian, Andrea L. Thomaz, Charles L. Isbell, Alexander Stoytchev, Jivko Sinapov, Cédric Pradalier, Georges Chahine and Frank Dellaert and has published in prestigious journals such as The International Journal of Robotics Research, Journal of Field Robotics and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Shane Griffith

11 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shane Griffith United States	7	192	131	68	44	41	11	316
Tijn van der Zant Netherlands	11	183 1.0×	103 0.8×	197 2.9×	29 0.7×	28 0.7×	19	386
Daniel H. Grollman United States	10	277 1.4×	284 2.2×	63 0.9×	33 0.8×	11 0.3×	19	419
Halit Bener Suay United States	12	280 1.5×	216 1.6×	60 0.9×	45 1.0×	10 0.2×	21	434
Andrea Bajcsy United States	9	115 0.6×	122 0.9×	60 0.9×	51 1.2×	10 0.2×	19	298
Çetin Meriçli United States	9	88 0.5×	92 0.7×	120 1.8×	16 0.4×	27 0.7×	25	255
Gianni Vercelli Italy	9	89 0.5×	57 0.4×	67 1.0×	17 0.4×	33 0.8×	72	325
Adrian Li United States	6	197 1.0×	119 0.9×	110 1.6×	11 0.3×	15 0.4×	9	306
Felix Duvallet United States	9	117 0.6×	95 0.7×	113 1.7×	9 0.2×	45 1.1×	14	267
Rika Antonova United States	9	121 0.6×	119 0.9×	110 1.6×	18 0.4×	18 0.4×	14	297
Ravi Kiran Sarvadevabhatla India	11	124 0.6×	76 0.6×	265 3.9×	17 0.4×	17 0.4×	35	434

Countries citing papers authored by Shane Griffith

Since Specialization

Citations

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

Fields of papers citing papers by Shane Griffith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shane Griffith

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

Griffith, Shane, Frank Dellaert, & Cédric Pradalier. (2019). Transforming multiple visual surveys of a natural environment into time-lapses. The International Journal of Robotics Research. 39(1). 100–126. 2 indexed citations

Griffith, Shane, Georges Chahine, & Cédric Pradalier. (2017). Symphony Lake Dataset. The International Journal of Robotics Research. 36(11). 1151–1158. 15 indexed citations

Griffith, Shane & Cédric Pradalier. (2016). Survey Registration for Long‐Term Natural Environment Monitoring. Journal of Field Robotics. 34(1). 188–208. 8 indexed citations

Griffith, Shane & Cédric Pradalier. (2016). Reprojection Flow for Image Registration Across Seasons. 67.1–67.12. 4 indexed citations

Griffith, Shane, K.A. Subramanian, Jonathan Scholz, Charles L. Isbell, & Andrea L. Thomaz. (2013). Policy Shaping: Integrating Human Feedback with Reinforcement Learning. SMARTech Repository (Georgia Institute of Technology). 26. 2625–2633. 166 indexed citations

Griffith, Shane, et al.. (2011). A Behavior-Grounded Approach to Forming Object Categories: Separating Containers From Noncontainers. 4(1). 54–69. 32 indexed citations

Sinapov, Jivko, et al.. (2011). Interactive object recognition using proprioceptive and auditory feedback. The International Journal of Robotics Research. 30(10). 1250–1262. 46 indexed citations

Griffith, Shane, et al.. (2011). Using sequences of movement dependency graphs to form object categories. 57. 715–720. 6 indexed citations

Griffith, Shane, et al.. (2010). How to separate containers from non-containers? a behavior-grounded approach to acoustic object categorization. 1852–1859. 7 indexed citations

10.

Griffith, Shane & Alexander Stoytchev. (2010). Interactive Categorization of Containers and Non-Containers by Unifying Categorizations Derived from Multiple Exploratory Behaviors. Proceedings of the AAAI Conference on Artificial Intelligence. 24(1). 1931–1932. 2 indexed citations

11.

Griffith, Shane, et al.. (2009). Toward interactive learning of object categories by a robot: A case study with container and non-container objects. 1–6. 28 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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