Nathan Kirchner

414 citations
30 papers · 323 · h-index 11

Impact in

Papers in

Nathan Kirchner

29 papers receiving 310 citations

Peers

Nathan Kirchner
Comparison fields: 5 of 66
  • Human-Computer Interaction 29
  • Social Psychology 73
  • Geology 18
  • Computer Vision and Pattern Recognition 57
  • Building and Construction 32
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Citations per year

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-authors

The 24 scholars most cited alongside Nathan Kirchner, 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 Nathan Kirchner Line = papers co-authored together Nathan Kirchner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197835
2 201134
3 200834
4 198032
5 201219
6
A robotic system for steel bridge maintenance : research challenges and system design
200817
7 201617
8 200915
9
RobotAssist - A platform for human robot interaction research
201012
10 201312
11 200910
12 20139
13 20079
14
A robust people detection, tracking, and counting system
20149
15 20158
16 20117
17
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
20157
18
Robust and efficient people detection with 3-D range data using shape matching
20107
19 20206
20 20204

About Nathan Kirchner

Nathan Kirchner is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering, Social Psychology, Control and Systems Engineering and Aerospace Engineering, having authored 30 papers that have together received 323 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Infrastructure Maintenance and Monitoring (5 papers), 3D Surveying and Cultural Heritage (5 papers), Social Robot Interaction and HRI (5 papers), Robot Manipulation and Learning (5 papers), Robotic Path Planning Algorithms (4 papers), Evacuation and Crowd Dynamics (4 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Human-Computer Interaction (29 citations), Social Psychology (73 citations), Geology (18 citations), Computer Vision and Pattern Recognition (57 citations) and Building and Construction (32 citations). Nathan Kirchner has collaborated with scholars based in Australia, Germany and France. Frequent co-authors include Alen Alempijevic, Gamini Dissanayake, Dikai Liu, H. J. Andrä, W. Wittmann, Gavin Paul, P. Kuske, D. Kaiser, Steve M. J. Janssen and James Gardiner. Their work appears in journals such as Physics Letters A, IEEE Sensors Journal, Journal of Field Robotics, Sensors and Actuators A Physical and Nuclear Instruments and Methods.

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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