Adam Jacobson

1.1k total citations
24 papers, 648 citations indexed

About

Adam Jacobson is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Adam Jacobson has authored 24 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Aerospace Engineering, 18 papers in Computer Vision and Pattern Recognition and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Adam Jacobson's work include Robotics and Sensor-Based Localization (20 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Indoor and Outdoor Localization Technologies (7 papers). Adam Jacobson is often cited by papers focused on Robotics and Sensor-Based Localization (20 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Indoor and Outdoor Localization Technologies (7 papers). Adam Jacobson collaborates with scholars based in Australia, United States and Hong Kong. Adam Jacobson's co-authors include Michael Milford, Ben Upcroft, Edward Pepperell, Niko Suenderhauf, Feras Dayoub, Sareh Shirazi, Zetao Chen, Chunhua Shen, Niko Sünderhauf and Ian Reid and has published in prestigious journals such as Neural Networks, Biological Cybernetics and Robotics and Autonomous Systems.

In The Last Decade

Adam Jacobson

21 papers receiving 631 citations

Peers

Adam Jacobson

CVPR

EEE

GEOLO

Tolga Özaslan United States

Eagle Jones United States

Nitin J. Sanket United States

Tayyab Naseer Germany

Céline Teulière France

André Treptow Germany

Davide Migliore Italy

Qingqun Kong China

Bangbang Yang China

Denis Chekhlov United Kingdom

Tolga Özaslan United States

Adam Jacobson

250 ×0.4

CVPR

229 ×0.4

200 ×1.1

EEE

59 ×1.2

GEOLO

39 ×1.0

Citations per year, relative to Adam Jacobson Adam Jacobson (= 1×) peers Tolga Özaslan

Countries citing papers authored by Adam Jacobson

Since Specialization

Citations

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

Fields of papers citing papers by Adam Jacobson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Jacobson

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Jacobson. A scholar is included among the top collaborators of Adam Jacobson 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 Adam Jacobson. Adam Jacobson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jacobson, Adam, et al.. (2019). Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods. IEEE Robotics and Automation Letters. 4(2). 1924–1931. 41 indexed citations

Jacobson, Adam, et al.. (2019). TIMTAM: Tunnel-Image Texturally Accorded Mosaic for Location Refinement of Underground Vehicles With a Single Camera. IEEE Robotics and Automation Letters. 4(4). 4362–4369. 9 indexed citations

Yu, Litao, Adam Jacobson, & Michael Milford. (2018). Rhythmic Representations: Learning Periodic Patterns for Scalable Place Recognition at a Sublinear Storage Cost. IEEE Robotics and Automation Letters. 3(2). 811–818. 4 indexed citations

Jacobson, Adam, et al.. (2018). I2-S2: Intra-image-SeqSLAM for more accurate vision-based localisation in underground mines. QUT ePrints (Queensland University of Technology). 7 indexed citations

Jacobson, Adam, et al.. (2018). Automatic calibration of a biologically inspired neural network for robot SLAM. QUT ePrints (Queensland University of Technology). 1 indexed citations

Jacobson, Adam, Zetao Chen, & Michael Milford. (2018). Leveraging variable sensor spatial acuity with a homogeneous, multi-scale place recognition framework. Biological Cybernetics. 112(3). 209–225. 5 indexed citations

Jacobson, Adam, et al.. (2018). Semi-Supervised SLAM: Leveraging Low-Cost Sensors on Underground Autonomous Vehicles for Position Tracking. 3970–3977. 19 indexed citations

Jacobson, Adam, et al.. (2017). Enhancing underground visual place recognition with Shannon Entropy saliency. QUT ePrints (Queensland University of Technology). 12 indexed citations

Jacobson, Adam. (2017). Could the United States Reinstitute an Official Torture Policy?. Journal of Strategic Security. 10(2). 97–118. 1 indexed citations

10.

Chen, Zetao, Adam Jacobson, Niko Sünderhauf, et al.. (2017). Deep learning features at scale for visual place recognition. 3223–3230. 206 indexed citations

11.

Milford, Michael, Adam Jacobson, Zetao Chen, & Gordon Wyeth. (2016). RatSLAM: using models of rodent hippocampus for robot navigation and beyond. QUT ePrints (Queensland University of Technology).

12.

Jacobson, Adam, Zetao Chen, V.P. Subramanyam Rallabandi, & Michael Milford. (2015). Multi-scale place recognition with multi-scale sensing. QUT ePrints (Queensland University of Technology).

13.

Chen, Zetao, Stephanie Lowry, Adam Jacobson, Michael E. Hasselmo, & Michael Milford. (2015). Bio-inspired homogeneous multi-scale place recognition. Neural Networks. 72. 48–61. 10 indexed citations

14.

Chen, Zetao, Stephanie Lowry, Adam Jacobson, Zongyuan Ge, & Michael Milford. (2015). Distance metric learning for feature-agnostic place recognition. 2556–2563. 10 indexed citations

15.

Suenderhauf, Niko, Sareh Shirazi, Adam Jacobson, et al.. (2015). Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free. QUT ePrints (Queensland University of Technology). 252 indexed citations

16.

Chen, Zetao, et al.. (2014). Convolutional Neural Network-based Place Recognition. QUT ePrints (Queensland University of Technology). 19 indexed citations

17.

Milford, Michael, Jennifer Firn, James R. Beattie, et al.. (2014). Automated sensory data alignment for environmental and epidermal change monitoring. USC Research Bank (University of the Sunshine Coast). 273–282. 3 indexed citations

18.

Chen, Zetao, Adam Jacobson, Uğur M. Erdem, Michael E. Hasselmo, & Michael Milford. (2014). Multi-scale bio-inspired place recognition. 41. 1895–1901. 12 indexed citations

19.

Chen, Zetao, Adam Jacobson, Uğur M. Erdem, Michael E. Hasselmo, & Michael Milford. (2013). Towards bio-inspired place recognition over multiple spatial scales. QUT ePrints (Queensland University of Technology). 4 indexed citations

20.

Jacobson, Adam & Michael Milford. (2012). Towards Brain-based Sensor Fusion for Navigating Robots. QUT ePrints (Queensland University of Technology). 6 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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