Edward Johns

3.5k citations
44 papers · 1.8k · 1 hit paper · h-index 18

Impact in

Papers in

Co-authors
Andrew J. Davison (5 shared papers)Shikun Liu (3 shared papers)Guang‐Zhong Yang (15 shared papers)Stefan Leutenegger (2 shared papers)Norman Di Palo (7 shared papers)Tae‐Kyun Kim (1 shared paper)Guillermo Garcia-Hernando (1 shared paper)Benny P. L. Lo (1 shared paper)
Journals
IEEE Robotics and Automation Letters (6 papers)International Journal of Computer Assisted Radiology and Surgery (1 paper)Science Robotics (1 paper)International Journal of Computer Vision (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
Partner nations
United KingdomChinaUnited States

In The Last Decade

Edward Johns

43 papers receiving 1.8k citations

Edward Johns's Hit Papers

End-To-End Multi-Task Learning With Attention 2019 · 841 citations
8410+2+4Years since publication250500750
What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

  1. 2019 Spiral (Imperial College London)

Peers

Edward Johns
Comparison fields: 5 of 121
  • Computer Vision and Pattern Recognition 945
  • Artificial Intelligence 603
  • Control and Systems Engineering 348
  • Human-Computer Interaction 79
  • Aerospace Engineering 321
Replace Qi She with:
Qi She China
Zulfiqar Habib Pakistan
Di Feng Germany
Dong Seog Han South Korea
Xu Chen China
Tao Yu China
Wei Tian China
Xinchen Yan United States
Bogusław Cyganek Poland
Sergey Tulyakov United States
Edward Johns relative to Qi She China Qi She's profile →
Citations per field
00.5×10×20×30.3×
Qi She · 1×
Citations per year

Countries citing papers authored by Edward Johns

Since Specialization
Citations

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

Fields of papers citing papers by Edward Johns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Edward Johns, 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 Edward Johns Line = papers co-authored together Edward Johns links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
End-To-End Multi-Task Learning With Attention
Spiral (Imperial College London) ·Shikun Liu, Edward Johns, Andrew J. Davison
Hit paper breakdown →		2019841
2
Deep learning a grasp function for grasping under gripper pose uncertainty
Spiral (Imperial College London) ·Edward Johns, Stefan Leutenegger, Andrew J. Davison
2016177
3
An Intelligent Food-Intake Monitoring System Using Wearable Sensors
Jindong Liu, Edward Johns, Louis Atallah, Claire Pettitt, Benny P. L. Lo, G. M. Frost, Guang‐Zhong Yang
201295
4
Self-Supervised Siamese Learning on Stereo Image Pairs for Depth Estimation in Robotic Surgery
M Ye, Edward Johns, Ankur Handa, Lulu Zhang, Philip Pratt, Guang‐Zhong Yang, (unknown)
201780
5
Feature Co-occurrence Maps: Appearance-based localisation throughout the day
Edward Johns, Guang‐Zhong Yang
201377
6
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics
IEEE Robotics and Automation Letters ·Ivan Kapelyukh, Vitalis Vosylius, Edward Johns
202358
7
Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning
Guillermo Garcia-Hernando, Edward Johns, Tae‐Kyun Kim
202046
8
Becoming the expert - interactive multi-class machine teaching
Spiral (Imperial College London) ·Edward Johns, Oisin Mac Aodha, Gabriel Brostow
201540
9
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network
IEEE Transactions on Pattern Analysis and Machine Intelligence ·Liang Du, Xiaoqing Ye, Xiao Tan, Edward Johns, Bo Chen, Errui Ding, Xiangyang Xue, Jianfeng Feng
202136
10
Language Models as Zero-Shot Trajectory Generators
IEEE Robotics and Automation Letters ·Teyun Kwon, Norman Di Palo, Edward Johns
202436
11
Generative Methods for Long-Term Place Recognition in Dynamic Scenes
International Journal of Computer Vision ·Edward Johns, Guang‐Zhong Yang
201329
12
From images to scenes: Compressing an image cluster into a single scene model for place recognition
Edward Johns, Guang‐Zhong Yang
201126
13
Crossing the gap: a deep dive into zero-shot sim-to-real transfer for dynamics
Spiral (Imperial College London) ·Eugene Valassakis, Zihan Ding, Edward Johns
202023
14
Application-oriented design space exploration for SLAM algorithms
Edinburgh Research Explorer (University of Edinburgh) ·Sajad Saeedi, Luigi Nardi, Edward Johns, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison
201723
15
Pairwise Decomposition of Image Sequences for Active Multi-view Recognition
arXiv (Cornell University) ·Edward Johns, Stefan Leutenegger, Andrew J. Davison
201623
16
Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ·Eugene Valassakis, Georgios I. Papagiannis, Norman Di Palo, Edward Johns
202223
17
DROID: Minimizing the Reality Gap Using Single-Shot Human Demonstration
IEEE Robotics and Automation Letters ·Ya-Yen Tsai, Hui Xu, Zihan Ding, Chong Zhang, Edward Johns, (unknown)
202123
18
Dynamic scene models for incremental, long-term, appearance-based localisation
Edward Johns, Guang‐Zhong Yang
201319
19
Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics
Spiral (Imperial College London) ·Norman Di Palo, Edward Johns
202418
20
Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across Wide Task Spaces
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ·Eugene Valassakis, Norman Di Palo, Edward Johns
202114

About Edward Johns

Edward Johns is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Robotics and Sensor-Based Localization (15 papers), Robot Manipulation and Learning (14 papers), Domain Adaptation and Few-Shot Learning (7 papers), Advanced Vision and Imaging (7 papers), Reinforcement Learning in Robotics (7 papers), Multimodal Machine Learning Applications (6 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (945 citations), Artificial Intelligence (603 citations), Control and Systems Engineering (348 citations), Human-Computer Interaction (79 citations) and Aerospace Engineering (321 citations). Edward Johns has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Andrew J. Davison, Shikun Liu, Guang‐Zhong Yang, Stefan Leutenegger, Norman Di Palo, Tae‐Kyun Kim, Guillermo Garcia-Hernando, Benny P. L. Lo, Louis Atallah and G. M. Frost. Their work appears in journals such as IEEE Robotics and Automation Letters, International Journal of Computer Assisted Radiology and Surgery, Science Robotics, International Journal of Computer Vision and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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