Andrew Markham

11.9k citations

165 papers · 6.7k indexed · 5 hit papers · h-index 41

Impact in

Geology top 0.1%
- 3D Surveying and Cultural Heritage
Computer Vision and Pattern Recognition top 0.5%
- Advanced Vision and Imaging
- Advanced Neural Network Applications

Papers in ⓘ

Developmental Biology 11
Computer Vision and Pattern Recognition 59
- Advanced Vision and Imaging 21
- Video Surveillance and Tracking Methods 12

Co-authors: Niki Trigoni (121 shared papers)Bo Yang (17 shared papers)Qingyong Hu (8 shared papers)Stefano Rosa (11 shared papers)Yulan Guo (4 shared papers)Hongkai Wen (22 shared papers)Linhai Xie (9 shared papers)Zhihua Wang (7 shared papers)
Journals: IEEE Transactions on Mobile Computing (5 papers)IEEE Sensors Journal (5 papers)IEEE Transactions on Neural Networks and Learning Systems (4 papers)IEEE Journal on Selected Areas in Communications (3 papers)IEEE Internet of Things Journal (3 papers)
Partner nations: United Kingdom China United States

In The Last Decade

Andrew Markham

152 papers receiving 6.6k citations

Hit Papers

5 papers align trajectories log scale

Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations 2023 · 152 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 Advances in Computational Mathematics
2021 IEEE Transactions on Pattern Analysis and Machine Intelligence
2021 SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
2020 RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
2018 ACM Computing Surveys

Peers

Countries citing papers authored by Andrew Markham

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Markham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andrew Markham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andrew Markham Line = papers co-authored together Andrew Markham links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham Hit paper breakdown →	2020	1288
2	Visual SLAM and Structure from Motion in Dynamic Environments ACM Computing Surveys ·Muhamad Risqi U. Saputra, Andrew Markham, Niki Trigoni Hit paper breakdown →	2018	279
3	IONet: Learning to Cure the Curse of Drift in Inertial Odometry Proceedings of the AAAI Conference on Artificial Intelligence ·Changhao Chen, Xiaoxuan Lu, Andrew Markham, Niki Trigoni	2018	237
4	SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, Yulan Guo Hit paper breakdown →	2021	231
5	VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem Proceedings of the AAAI Conference on Artificial Intelligence ·Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni	2017	221
6	mID: Tracking and Identifying People with Millimeter Wave Radar Peijun Zhao, Chris Xiaoxuan Lu, Jianan Wang, Changhao Chen, Wei Wang, Niki Trigoni, Andrew Markham	2019	198
7	Non-Line-of-Sight Identification and Mitigation Using Received Signal Strength IEEE Transactions on Wireless Communications ·Zhuoling Xiao, Hongkai Wen, Andrew Markham, Niki Trigoni, Phil Blunsom, Jeff Frolík	2014	179
8	Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling IEEE Transactions on Pattern Analysis and Machine Intelligence ·Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham Hit paper breakdown →	2021	157
9	Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations Advances in Computational Mathematics ·Ben Moseley, Andrew Markham, Tarje Nissen‐Meyer Hit paper breakdown →	2023	152
10	Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham	2021	148
11	See through smoke Chris Xiaoxuan Lu, Stefano Rosa, Peijun Zhao, Bing Wang, Changhao Chen, John A. Stankovic, Niki Trigoni, Andrew Markham	2020	121
12	Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference IEEE Internet of Things Journal ·Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu, Wei Wang, Andrew Markham, Niki Trigoni	2020	111
13	Evolution and sustainability of a wildlife monitoring sensor network Oxford University Research Archive (ORA) (University of Oxford) ·Vladimir Dyo, Stephen A. Ellwood, David W. Macdonald, Andrew Markham, Cecilia Mascolo, Bence Pásztor, Salvatore Scellato, Niki Trigoni, Ricklef Wohlers, Kharsim Yousef	2010	107
14	Does BTLE measure up against WiFi? A comparison of indoor location performance Oxford University Research Archive (ORA) (University of Oxford) ·Xiaojie Zhao, Zhuoling Xiao, Andrew Markham, Niki Trigoni, Yong Ren	2014	106
15	AtLoc: Attention Guided Camera Localization Proceedings of the AAAI Conference on Artificial Intelligence ·Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham	2020	105
16	Selective Sensor Fusion for Neural Visual-Inertial Odometry Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni	2019	104
17	milliEgo Edinburgh Research Explorer (University of Edinburgh) ·Chris Xiaoxuan Lu, Muhamad Risqi U. Saputra, Peijun Zhao, Yasin Almalıoğlu, Pedro Porto Buarque de Gusmão, Changhao Chen, Ke Sun, Niki Trigoni, Andrew Markham	2020	100
18	Milli-RIO: Ego-Motion Estimation With Low-Cost Millimetre-Wave Radar IEEE Sensors Journal ·Yasin Almalıoğlu, Mehmet Turan, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham	2020	95
19	Lightweight map matching for indoor localisation using conditional random fields Zhuoling Xiao, Hongkai Wen, Andrew Markham, Niki Trigoni	2014	91
20	Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction International Journal of Computer Vision ·Bo Yang, Sen Wang, Andrew Markham, Niki Trigoni	2019	90

About Andrew Markham

Andrew Markham is a scholar working on Developmental Biology, Computer Vision and Pattern Recognition, Geology, Aerospace Engineering and Signal Processing, having authored 165 papers that have together received 6.7k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (46 papers), Indoor and Outdoor Localization Technologies (45 papers), Advanced Vision and Imaging (21 papers), Underwater Vehicles and Communication Systems (20 papers), 3D Shape Modeling and Analysis (14 papers), Speech and Audio Processing (14 papers), 3D Surveying and Cultural Heritage (13 papers) and Video Surveillance and Tracking Methods (12 papers). The work is most often cited by research in Geology (1.5k citations), Computer Vision and Pattern Recognition (2.3k citations), Aerospace Engineering (2.6k citations), Environmental Engineering (1.2k citations) and Computer Graphics and Computer-Aided Design (272 citations). Andrew Markham has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Niki Trigoni, Bo Yang, Qingyong Hu, Stefano Rosa, Yulan Guo, Hongkai Wen, Linhai Xie, Zhihua Wang, Chris Xiaoxuan Lu and Changhao Chen. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Sensors Journal, IEEE Transactions on Neural Networks and Learning Systems, IEEE Journal on Selected Areas in Communications and IEEE Internet of Things Journal.

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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