Stephen H. Lane
- Control and Systems Engineering top 2%
- Aerospace Engineering top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Co-authors
- Robert F. StengelJack GelfandDavid A. HandelmanVijaykumar GullapalliWilliam W. WilsonMichael G. Littman
- Topics
- Neural Networks and Applications (6 papers)Robot Manipulation and Learning (6 papers)Target Tracking and Data Fusion in Sensor Networks (3 papers)
- Journals
- AutomaticaJournal of Guidance Control and DynamicsComputers & Mathematics with Applications
- Partner nations
- United States
In The Last Decade
Stephen H. Lane
14 papers receiving 723 citations
Peers
Comparison fields: 5 of 64
- Control and Systems Engineering 574
- Aerospace Engineering 301
- Artificial Intelligence 232
- Computer Vision and Pattern Recognition 65
- Computer Networks and Communications 48
Countries citing papers authored by Stephen H. Lane
This map shows the geographic impact of Stephen H. Lane'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 H. Lane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen H. Lane more than expected).
Fields of papers citing papers by Stephen H. Lane
This network shows the impact of papers produced by Stephen H. Lane. 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 H. Lane. The network helps show where Stephen H. Lane may publish in the future.
Co-authorship network of co-authors of Stephen H. Lane
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen H. Lane. A scholar is included among the top collaborators of Stephen H. Lane 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 H. Lane. Stephen H. Lane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 203 | |
| 8 | 7 | |
| 9 | Multi-Layer Perceptrons with B-Spline Receptive Field Functions | 15 |
| 10 | 86 | |
| 11 | 3 | |
| 12 | 11 | |
| 13 | 400 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 49 |
About Stephen H. Lane
Stephen H. Lane is a scholar working on Artificial Intelligence, Control and Systems Engineering and Human-Computer Interaction, having authored 17 papers that have together received 793 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Robot Manipulation and Learning (6 papers) and Target Tracking and Data Fusion in Sensor Networks (3 papers). The work is most often cited by research in Control and Systems Engineering (574 citations), Aerospace Engineering (301 citations) and Artificial Intelligence (232 citations). Stephen H. Lane has collaborated with scholars based in United States. Frequent co-authors include Robert F. Stengel, Jack Gelfand, David A. Handelman, Vijaykumar Gullapalli, William W. Wilson and Michael G. Littman. Their work appears in journals such as Automatica, Journal of Guidance Control and Dynamics and Computers & Mathematics with Applications.
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.