Nicholas A. Lord
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Geology top 10%
- Computational Mechanics
- Control and Systems Engineering
- Co-authors
- Tommaso CavallariStuart GolodetzPhilip H. S. TorrLuigi Di StefanoJulien ValentinVictor Adrian PrisacariuDavid W. MurrayBaba C. Vemuri
- Topics
- Robotics and Sensor-Based Localization (5 papers)3D Surveying and Cultural Heritage (4 papers)Advanced Vision and Imaging (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Medical ImagingIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Nicholas A. Lord
8 papers receiving 189 citations
Peers
Comparison fields: 5 of 35
- Computer Vision and Pattern Recognition 167
- Aerospace Engineering 136
- Geology 54
- Computational Mechanics 14
- Control and Systems Engineering 13
Countries citing papers authored by Nicholas A. Lord
This map shows the geographic impact of Nicholas A. Lord'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 Nicholas A. Lord with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas A. Lord more than expected).
Fields of papers citing papers by Nicholas A. Lord
This network shows the impact of papers produced by Nicholas A. Lord. 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 Nicholas A. Lord. The network helps show where Nicholas A. Lord may publish in the future.
Co-authorship network of co-authors of Nicholas A. Lord
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas A. Lord. A scholar is included among the top collaborators of Nicholas A. Lord 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 Nicholas A. Lord. Nicholas A. Lord is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 45 | |
| 5 | 68 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 23 |
About Nicholas A. Lord
Nicholas A. Lord is a scholar working on Geology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 8 papers that have together received 198 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), 3D Surveying and Cultural Heritage (4 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Geology (54 citations), Computer Vision and Pattern Recognition (167 citations) and Aerospace Engineering (136 citations). Nicholas A. Lord has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Tommaso Cavallari, Stuart Golodetz, Philip H. S. Torr, Luigi Di Stefano, Julien Valentin, Victor Adrian Prisacariu, David W. Murray, Baba C. Vemuri, Jeffrey Ho and S. Eisenschenk. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and IEEE Transactions on Visualization and Computer Graphics.
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.