Zachary Taylor

1.6k total citations
24 papers, 1.0k citations indexed

About

Zachary Taylor is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Zachary Taylor has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Aerospace Engineering, 11 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Zachary Taylor's work include Robotics and Sensor-Based Localization (16 papers), Advanced Vision and Imaging (6 papers) and Indoor and Outdoor Localization Technologies (4 papers). Zachary Taylor is often cited by papers focused on Robotics and Sensor-Based Localization (16 papers), Advanced Vision and Imaging (6 papers) and Indoor and Outdoor Localization Technologies (4 papers). Zachary Taylor collaborates with scholars based in Switzerland, Australia and Israel. Zachary Taylor's co-authors include Juan Nieto, Roland Siegwart, Helen Oleynikova, Enric Galceran, Michael Burri, Roi Gurka, Gregory A. Kopp, Alex Liberzon, Alexander Millane and David Johnson and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Robotics and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Zachary Taylor

23 papers receiving 980 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zachary Taylor Switzerland 16 650 566 128 94 94 24 1.0k
Changhui Jiang China 23 684 1.1× 268 0.5× 282 2.2× 70 0.7× 159 1.7× 94 1.7k
Bertrand Douillard Australia 15 396 0.6× 482 0.9× 355 2.8× 62 0.7× 208 2.2× 35 999
Mihai Dolha Germany 4 287 0.4× 365 0.6× 309 2.4× 81 0.9× 336 3.6× 5 849
Daniel F. Huber United States 11 604 0.9× 590 1.0× 362 2.8× 41 0.4× 348 3.7× 14 1.1k
Zhi Gao China 22 275 0.4× 847 1.5× 106 0.8× 29 0.3× 91 1.0× 145 1.6k
Fei Yan China 15 359 0.6× 414 0.7× 83 0.6× 73 0.8× 86 0.9× 60 834
Xin Wu China 18 636 1.0× 975 1.7× 110 0.9× 116 1.2× 23 0.2× 61 2.4k
A. Huertas United States 22 625 1.0× 951 1.7× 242 1.9× 32 0.3× 83 0.9× 57 1.6k
Paulo Drews Brazil 22 671 1.0× 1.9k 3.3× 59 0.5× 156 1.7× 62 0.7× 180 2.7k
Son‐Cheol Yu South Korea 23 589 0.9× 557 1.0× 61 0.5× 396 4.2× 52 0.6× 135 1.8k

Countries citing papers authored by Zachary Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Zachary Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zachary Taylor

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

All Works

20 of 20 papers shown
1.
Longhi, Michela, Zachary Taylor, Marija Popović, et al.. (2018). RFID-Based Localization for Greenhouses Monitoring Using MAVs. Cineca Institutional Research Information System (Tor Vergata University). 905–908. 10 indexed citations
2.
Millane, Alexander, Zachary Taylor, Helen Oleynikova, et al.. (2018). C-blox: A Scalable and Consistent TSDF-based Dense Mapping Approach. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 995–1002. 39 indexed citations
3.
Longhi, Michela, Alexander Millane, Zachary Taylor, et al.. (2018). An Integrated MAV-RFID System for Geo-referenced Monitoring of Harsh Environments. Cineca Institutional Research Information System (Tor Vergata University). 1–4. 6 indexed citations
4.
Burri, Michael, Michael Bloesch, Zachary Taylor, Roland Siegwart, & Juan Nieto. (2017). A framework for maximum likelihood parameter identification applied on MAVs. Journal of Field Robotics. 35(1). 5–22. 22 indexed citations
5.
Sommer, Hannes, Raghav Khanna, Igor Gilitschenski, et al.. (2017). A low-cost system for high-rate, high-accuracy temporal calibration for LIDARs and cameras. 2219–2226. 10 indexed citations
6.
Oleynikova, Helen, Michael Burri, Zachary Taylor, et al.. (2016). Continuous-time trajectory optimization for online UAV replanning. 5332–5339. 173 indexed citations
7.
Oleynikova, Helen, Alexander Millane, Zachary Taylor, et al.. (2016). Signed Distance Fields: A Natural Representation for Both Mapping and Planning. Repository for Publications and Research Data (ETH Zurich). 46 indexed citations
8.
Fankhauser, Péter, Elena Stumm, Zachary Taylor, et al.. (2016). Collaborative Localization of Aerial and Ground Robots through Elevation Maps. Repository for Publications and Research Data (ETH Zurich). 284–290. 15 indexed citations
9.
Oleynikova, Helen, Michael Burri, Zachary Taylor, et al.. (2016). Continuous-time trajectory optimization for online UAV replanning. Repository for Publications and Research Data (ETH Zurich). 78 indexed citations
10.
Burri, Michael, et al.. (2016). Generalized information filtering for MAV parameter estimation. 3124–3130. 3 indexed citations
11.
Taylor, Zachary & Juan Nieto. (2016). Motion-Based Calibration of Multimodal Sensor Extrinsics and Timing Offset Estimation. IEEE Transactions on Robotics. 32(5). 1215–1229. 101 indexed citations
12.
Taylor, Zachary & Juan Nieto. (2015). Motion-based calibration of multimodal sensor arrays. 4843–4850. 61 indexed citations
13.
Murphy, Richard J., et al.. (2015). Mapping clay minerals in an open-pit mine using hyperspectral and LiDAR data. European Journal of Remote Sensing. 48(1). 511–526. 35 indexed citations
14.
Taylor, Zachary, Juan Nieto, & David Johnson. (2014). Multi‐Modal Sensor Calibration Using a Gradient Orientation Measure. Journal of Field Robotics. 32(5). 675–695. 33 indexed citations
15.
Monteiro, Sildomar T., et al.. (2013). Combining strong features for registration of hyperspectral and lidar data from field-based platforms. 37. 1210–1213. 9 indexed citations
16.
Taylor, Zachary, et al.. (2013). Experiments on the vortex wake of a swimming knifefish. Experiments in Fluids. 54(8). 12 indexed citations
17.
Taylor, Zachary, et al.. (2013). Estimation of Unsteady Aerodynamics in the Wake of a Freely Flying European Starling (Sturnus vulgaris). PLoS ONE. 8(11). e80086–e80086. 19 indexed citations
18.
Hung, Calvin, Juan Nieto, Zachary Taylor, James Underwood, & Salah Sukkarieh. (2013). Orchard fruit segmentation using multi-spectral feature learning. 5314–5320. 74 indexed citations
19.
Nieto, Juan & Zachary Taylor. (2012). A mutual information approach to automatic calibration of camera and lidar in natural environments. 31 indexed citations
20.
Taylor, Zachary, et al.. (2010). Heat Stress and Injury Prevention Practices During Summer High School Football Training in South Texas. International journal of exercise science. 3(2). 55–63. 1 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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