Nicholas A. Lord

497 total citations
8 papers, 198 citations indexed

About

Nicholas A. Lord is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Nicholas A. Lord has authored 8 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 4 papers in Geology. Recurrent topics in Nicholas A. Lord's work include Robotics and Sensor-Based Localization (5 papers), 3D Surveying and Cultural Heritage (4 papers) and Advanced Vision and Imaging (4 papers). Nicholas A. Lord is often cited by papers focused on Robotics and Sensor-Based Localization (5 papers), 3D Surveying and Cultural Heritage (4 papers) and Advanced Vision and Imaging (4 papers). Nicholas A. Lord collaborates with scholars based in United Kingdom, United States and Italy. Nicholas A. Lord's co-authors include Tommaso Cavallari, Stuart Golodetz, Philip H. S. Torr, Luigi Di Stefano, Julien Valentin, Victor Adrian Prisacariu, David W. Murray, Jeffrey Ho, Baba C. Vemuri and S. Eisenschenk and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Nicholas A. Lord

8 papers receiving 189 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas A. Lord United Kingdom	6	167	136	54	14	13	8	198
Zike Yan China	7	197 1.2×	160 1.2×	54 1.0×	11 0.8×	7 0.5×	17	237
Andréas Meuleman South Korea	7	178 1.1×	60 0.4×	25 0.5×	34 2.4×	8 0.6×	13	228
Xingrui Yang China	7	233 1.4×	173 1.3×	18 0.3×	21 1.5×	8 0.6×	12	274
Rémi Pautrat Switzerland	5	141 0.8×	106 0.8×	39 0.7×	12 0.9×	38 2.9×	11	200
Miroslav Trajković Australia	2	292 1.7×	208 1.5×	22 0.4×	7 0.5×	7 0.5×	2	337
Weijian Xie China	10	110 0.7×	76 0.6×	37 0.7×	14 1.0×	5 0.4×	18	217
Khoi Nguyen United States	6	132 0.8×	59 0.4×	30 0.6×	34 2.4×	7 0.5×	14	180
Tommaso Cavallari United Kingdom	8	203 1.2×	189 1.4×	74 1.4×	8 0.6×	18 1.4×	12	258
Lang Nie China	9	251 1.5×	74 0.5×	20 0.4×	6 0.4×	6 0.5×	29	285
Pyojin Kim South Korea	12	201 1.2×	248 1.8×	121 2.2×	7 0.5×	4 0.3×	31	294

Countries citing papers authored by Nicholas A. Lord

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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8 of 8 papers shown

1.

Cavallari, Tommaso, Stuart Golodetz, Nicholas A. Lord, et al.. (2019). Real-Time RGB-D Camera Pose Estimation in Novel Scenes Using a Relocalisation Cascade. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(10). 2465–2477. 46 indexed citations

2.

Golodetz, Stuart, Tommaso Cavallari, Nicholas A. Lord, et al.. (2018). Live Collaborative Large-Scale Dense 3D Reconstruction Using Consumer-Grade Hardware. 36. 413–414. 6 indexed citations

3.

Jetley, Saumya, Nicholas A. Lord, & Philip H. S. Torr. (2018). With Friends Like These, Who Needs Adversaries?. arXiv (Cornell University). 31. 10749–10759. 2 indexed citations

4.

Golodetz, Stuart, Tommaso Cavallari, Nicholas A. Lord, et al.. (2018). Collaborative Large-Scale Dense 3D Reconstruction with Online Inter-Agent Pose Optimisation. IEEE Transactions on Visualization and Computer Graphics. 24(11). 2895–2905. 45 indexed citations

5.

Cavallari, Tommaso, Stuart Golodetz, Nicholas A. Lord, et al.. (2017). On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 218–227. 68 indexed citations

6.

Prisacariu, Victor Adrian, et al.. (2017). Probabilistic Object Reconstruction with Online Global Model Correction. 34. 291–300. 1 indexed citations

7.

Lord, Nicholas A., Jeffrey Ho, & Baba C. Vemuri. (2007). USSR: A Unified Framework for Simultaneous Smoothing, Segmentation, and Registration of Multiple Images. 1–6. 7 indexed citations

8.

Lord, Nicholas A., Jeffrey Ho, Baba C. Vemuri, & S. Eisenschenk. (2007). Simultaneous Registration and Parcellation of Bilateral Hippocampal Surface Pairs for Local Asymmetry Quantification. IEEE Transactions on Medical Imaging. 26(4). 471–478. 23 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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