Nathan Kirchner

412 total citations
30 papers, 323 citations indexed

About

Nathan Kirchner is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering and Social Psychology. According to data from OpenAlex, Nathan Kirchner has authored 30 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Civil and Structural Engineering and 6 papers in Social Psychology. Recurrent topics in Nathan Kirchner's work include Robotics and Sensor-Based Localization (6 papers), Robot Manipulation and Learning (5 papers) and 3D Surveying and Cultural Heritage (5 papers). Nathan Kirchner is often cited by papers focused on Robotics and Sensor-Based Localization (6 papers), Robot Manipulation and Learning (5 papers) and 3D Surveying and Cultural Heritage (5 papers). Nathan Kirchner collaborates with scholars based in Australia, Germany and France. Nathan Kirchner's co-authors include Alen Alempijevic, Gamini Dissanayake, Dikai Liu, W. Wittmann, H. J. Andrä, Gavin Paul, P. Kuske, D. Kaiser, Steve M. J. Janssen and S Webb and has published in prestigious journals such as Physics Letters A, Sensors and Actuators A Physical and IEEE Sensors Journal.

In The Last Decade

Nathan Kirchner

29 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan Kirchner Australia 11 73 57 52 49 48 30 323
Risto Ritala Finland 11 11 0.2× 78 1.4× 56 1.1× 49 1.0× 23 0.5× 70 439
Seongsin Kim United States 8 26 0.4× 31 0.5× 16 0.3× 143 2.9× 28 0.6× 14 565
Fang Xu United States 13 18 0.2× 56 1.0× 34 0.7× 192 3.9× 88 1.8× 51 727
H. Fujii Japan 11 26 0.4× 68 1.2× 291 5.6× 39 0.8× 25 0.5× 36 678
Valentina Donzella United Kingdom 10 34 0.5× 95 1.7× 22 0.4× 68 1.4× 34 0.7× 32 429
José Ramón Beltrán Spain 10 11 0.2× 88 1.5× 37 0.7× 7 0.1× 21 0.4× 37 299
G. M. Smith United Kingdom 6 18 0.2× 15 0.3× 34 0.7× 11 0.2× 22 0.5× 11 332
Hairong Qi United States 13 9 0.1× 126 2.2× 89 1.7× 18 0.4× 67 1.4× 32 657
Muhammad Sanaullah United States 13 49 0.7× 55 1.0× 13 0.3× 8 0.2× 84 1.8× 77 575
Katsuhiko Sakaue Japan 11 19 0.3× 311 5.5× 30 0.6× 13 0.3× 25 0.5× 67 483

Countries citing papers authored by Nathan Kirchner

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Kirchner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Kirchner

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Kirchner. A scholar is included among the top collaborators of Nathan Kirchner 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 Nathan Kirchner. Nathan Kirchner 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.
Kirchner, Nathan, et al.. (2015). Sensing and perception technology to enable real time monitoring of passenger movement behaviours through congested rail stations. UTS ePRESS (University of Technology Sydney). 2 indexed citations
2.
Kirchner, Nathan, et al.. (2015). Influencing passenger egress to reduce congestion at rail stations. Transport Research Forum. 1 indexed citations
3.
Kirchner, Nathan, et al.. (2015). An empirically verified Passenger Route Selection Model based on the principle of least effort for monitoring and predicting passenger walking paths through congested rail station environments. Transport Research Forum. 7 indexed citations
4.
Kirchner, Nathan, et al.. (2015). Foundation technology for developing an autonomous Complex Dwell-time Diagnostics (CDD) Tool. UTS ePRESS (University of Technology Sydney).
5.
Kirchner, Nathan, et al.. (2014). A robust people detection, tracking, and counting system. UTS ePRESS (University of Technology Sydney). 9 indexed citations
6.
Kirchner, Nathan, et al.. (2014). Head pose behavior in the human-robot interaction space. 2. 132–133. 2 indexed citations
7.
Kirchner, Nathan, et al.. (2013). Influence of robot-issued joint attention cues on gaze and preference. Human-Robot Interaction. 95–96. 2 indexed citations
8.
Kirchner, Nathan & Alen Alempijevic. (2013). A Robot Centric Perspective on the HRI Paradigm. 1(2). 9 indexed citations
9.
Kirchner, Nathan, et al.. (2012). Head-to-shoulder signature for person recognition. 1226–1231. 19 indexed citations
10.
Kirchner, Nathan, et al.. (2011). Listening for people: Exploiting the spectral structure of speech to robustly perceive the presence of people. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2903–2909. 7 indexed citations
11.
Kirchner, Nathan, Alen Alempijevic, & Gamini Dissanayake. (2011). Nonverbal robot-group interaction using an imitated gaze cue. 497–504. 34 indexed citations
12.
Kirchner, Nathan, et al.. (2011). Listening for people: Exploiting the spectral structure of speech to robustly perceive the presence of people. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 3 indexed citations
13.
Richards, David, Gavin Paul, S Webb, & Nathan Kirchner. (2010). Manipulator-based grasping pose selection by means of task-objective optimisation. UTS ePRESS (University of Technology Sydney). 4 indexed citations
14.
Kirchner, Nathan, et al.. (2010). Robust manipulability-centric object detection in time-of-flight camera point clouds. UTS ePRESS (University of Technology Sydney). 3 indexed citations
15.
Kirchner, Nathan, Alen Alempijevic, Robert Fitch, et al.. (2010). RobotAssist - A platform for human robot interaction research. UTS ePRESS (University of Technology Sydney). 12 indexed citations
16.
Paul, Gavin, Dikai Liu, Nathan Kirchner, & Gamini Dissanayake. (2009). An effective exploration approach to simultaneous mapping and surface material–type identification of complex three‐dimensional environments. Journal of Field Robotics. 26(11-12). 915–933. 15 indexed citations
17.
Kirchner, Nathan, Dikai Liu, & Gamini Dissanayake. (2009). Surface Type Classification With a Laser Range Finder. IEEE Sensors Journal. 9(9). 1160–1168. 10 indexed citations
18.
Liu, Dikai, Gu Fang, Gavin Paul, et al.. (2008). A robotic system for steel bridge maintenance : research challenges and system design. UTS ePRESS (University of Technology Sydney). 17 indexed citations
19.
Kirchner, Nathan, et al.. (2008). Capacitive sensor for object ranging and material type identification. Sensors and Actuators A Physical. 148(1). 96–104. 34 indexed citations
20.
Andrä, H. J., H. Winter, Nathan Kirchner, et al.. (1980). Ion beam surface interaction at grazing incidence. Nuclear Instruments and Methods. 170(1-3). 527–538. 32 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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