Stephen L. Smith

11.5k total citations · 3 hit papers
228 papers, 8.1k citations indexed

About

Stephen L. Smith is a scholar working on Sociology and Political Science, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stephen L. Smith has authored 228 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Sociology and Political Science, 54 papers in Computer Networks and Communications and 35 papers in Computer Vision and Pattern Recognition. Recurrent topics in Stephen L. Smith's work include Diverse Aspects of Tourism Research (51 papers), Optimization and Search Problems (44 papers) and Robotic Path Planning Algorithms (35 papers). Stephen L. Smith is often cited by papers focused on Diverse Aspects of Tourism Research (51 papers), Optimization and Search Problems (44 papers) and Robotic Path Planning Algorithms (35 papers). Stephen L. Smith collaborates with scholars based in Canada, United States and Australia. Stephen L. Smith's co-authors include Honggen Xiao, Daniel Guttentag, Daniela Rus, Robin Nunkoo, Mark E. Havitz, Luke R. Potwarka, Steven L. Waslander, Călin Belta, Francesco Bullo and Haywantee Ramkissoon and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Automatic Control and Proceedings of the IEEE.

In The Last Decade

Stephen L. Smith

216 papers receiving 7.5k citations

Hit Papers

Why Tourists Choose Airbnb: A Motivation-Based Segmentat... 2012 2026 2016 2021 2017 2017 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen L. Smith Canada 46 3.9k 1.7k 1.2k 969 968 228 8.1k
John D. C. Little United States 36 605 0.2× 3.3k 1.9× 1.1k 0.9× 899 0.9× 136 0.1× 76 8.7k
Mark Hansen United States 41 732 0.2× 276 0.2× 1.1k 0.9× 1.2k 1.3× 1.0k 1.0× 181 8.3k
Sangwon Park South Korea 33 3.5k 0.9× 1.9k 1.1× 720 0.6× 528 0.5× 55 0.1× 132 5.5k
Horst Treiblmaier Austria 44 1.2k 0.3× 882 0.5× 536 0.5× 76 0.1× 233 0.2× 167 6.8k
Éric Gilbert United States 50 3.4k 0.9× 381 0.2× 514 0.4× 194 0.2× 1.6k 1.7× 139 13.2k
Bernard J. Jansen United States 56 3.7k 1.0× 2.0k 1.2× 728 0.6× 122 0.1× 880 0.9× 432 14.1k
Shu‐Chuan Chu China 46 3.3k 0.9× 2.1k 1.2× 1.1k 0.9× 61 0.1× 1.4k 1.5× 303 9.3k
Wu He United States 41 2.0k 0.5× 660 0.4× 2.6k 2.2× 75 0.1× 403 0.4× 144 9.1k
Weiguo Fan United States 52 4.0k 1.0× 1.8k 1.0× 384 0.3× 147 0.2× 1.1k 1.2× 266 10.3k
Panagiotis G. Ipeirotis United States 36 2.7k 0.7× 1.4k 0.8× 630 0.5× 228 0.2× 667 0.7× 109 9.6k

Countries citing papers authored by Stephen L. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Stephen L. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen L. Smith. 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 Stephen L. Smith. The network helps show where Stephen L. Smith may publish in the future.

Co-authorship network of co-authors of Stephen L. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen L. Smith. A scholar is included among the top collaborators of Stephen L. Smith 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 Stephen L. Smith. Stephen L. Smith 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.
Smith, Stephen L., et al.. (2025). To Lead or to Follow? Adaptive Robot Task Planning in Human–Robot Collaboration. IEEE Transactions on Robotics. 41. 4215–4235. 1 indexed citations
2.
Alonso–Mora, Javier, et al.. (2024). Regret-Based Sampling of Pareto Fronts for Multiobjective Robot Planning Problems. IEEE Transactions on Robotics. 40. 3778–3794. 3 indexed citations
3.
Fan, Kevin, et al.. (2024). Human leading or following preferences: Effects on human perception of the robot and the human–robot collaboration. Robotics and Autonomous Systems. 183. 104821–104821. 5 indexed citations
4.
Sundaram, Shreyas, et al.. (2024). Multirobot Persistent Monitoring: Minimizing Latency and Number of Robots With Recharging Constraints. IEEE Transactions on Robotics. 41. 236–252. 5 indexed citations
5.
Smith, Stephen L., et al.. (2024). Scalarizing Multi-Objective Robot Planning Problems Using Weighted Maximization. IEEE Robotics and Automation Letters. 9(3). 2503–2510. 6 indexed citations
6.
Smith, Stephen L., et al.. (2023). Predictive Dead Reckoning for Online Peer-to-Peer Games. IEEE Transactions on Games. 16(1). 173–184.
7.
Alonso–Mora, Javier, et al.. (2023). Optimizing Task Waiting Times in Dynamic Vehicle Routing. IEEE Robotics and Automation Letters. 8(9). 5520–5527. 5 indexed citations
8.
Smith, Stephen L., et al.. (2023). Spatio-Temporal Lattice Planning Using Optimal Motion Primitives. IEEE Transactions on Intelligent Transportation Systems. 24(11). 11950–11962. 2 indexed citations
9.
Smith, Stephen L., et al.. (2022). Joint Estimation of Expertise and Reward Preferences From Human Demonstrations. IEEE Transactions on Robotics. 39(1). 681–698. 2 indexed citations
10.
Gharesifard, Bahman, et al.. (2022). Submodular Maximization With Limited Function Access. IEEE Transactions on Automatic Control. 68(9). 5522–5535. 5 indexed citations
11.
Mahajan, Aditya, et al.. (2022). Scalable Operator Allocation for Multirobot Assistance: A Restless Bandit Approach. IEEE Transactions on Control of Network Systems. 9(3). 1397–1408. 12 indexed citations
12.
Smith, Stephen L., et al.. (2022). Tunable Trajectory Planner Using G3 Curves. IEEE Transactions on Intelligent Vehicles. 7(2). 273–285. 11 indexed citations
13.
Smith, Stephen L., et al.. (2021). Learning Submodular Objectives for Team Environmental Monitoring. IEEE Robotics and Automation Letters. 7(2). 960–967. 9 indexed citations
14.
Smith, Stephen L., et al.. (2021). Universally Safe Swerve Maneuvers for Autonomous Driving. IEEE Open Journal of Intelligent Transportation Systems. 2. 482–494. 10 indexed citations
15.
Smith, Stephen L., et al.. (2021). Rebalancing Self-Interested Drivers in Ride-Sharing Networks to Improve Customer Wait-Time. IEEE Transactions on Control of Network Systems. 8(4). 1637–1648. 8 indexed citations
16.
Smith, Stephen L., et al.. (2019). An SMT-Based Approach to Motion Planning for Multiple Robots With Complex Constraints. IEEE Transactions on Robotics. 35(3). 669–684. 17 indexed citations
17.
Ding, Xu Chu, Stephen L. Smith, Călin Belta, & Daniela Rus. (2016). LTL Control in Uncertain Environments with Probabilistic Satisfaction Guarantees. OpenBU/Boston University Institutional Repository (Boston University). 19 indexed citations
18.
Robinson, Peter, Michael Lück, & Stephen L. Smith. (2013). Themes in tourism.. Tourism. 219–260. 5 indexed citations
19.
Smith, Stephen L.. (2011). Quantitative Methods in Tourism: A Handbook. Tourism Recreation Research. 36(3). 311–312. 2 indexed citations
20.
Grunsfeld, J. M., et al.. (1999). Hubble Space Telescope Third Servicing Mission: The Perspective from Orbit. American Astronomical Society Meeting Abstracts. 195.

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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