Ingo Neumann

1.6k citations
86 papers · 1.3k · h-index 20

Impact in

Papers in

Ingo Neumann

81 papers receiving 1.3k citations

Peers

Ingo Neumann
Comparison fields: 5 of 95
  • Geology 675
  • Environmental Engineering 556
  • Civil and Structural Engineering 461
  • Computer Vision and Pattern Recognition 302
  • Instrumentation 39
Replace Huan Luo with:
Huan Luo China
Xiangyang Xu China
Guido Morgenthal Germany
Vedhus Hoskere United States
Qingzhou Mao China
Abdul Nurunnabi Luxembourg
Yasutaka Narazaki United States
Changmin Kim South Korea
Mario Soilán Spain
Tara C. Hutchinson United States
Ingo Neumann relative to Huan Luo China Huan Luo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ingo Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Ingo Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016105
2 201879
3 201557
4 201757
5 201656
6 201455
7 201753
8 201842
9 201741
10 201740
11 201634
12 201832
13 201228
14 201726
15 201726
16 201825
17 201824
18 201823
19 201921
20 201719

About Ingo Neumann

Ingo Neumann is a scholar working on Geology, Environmental Engineering, Aerospace Engineering, Civil and Structural Engineering and Computer Vision and Pattern Recognition, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (43 papers), Remote Sensing and LiDAR Applications (35 papers), Optical measurement and interference techniques (21 papers), Robotics and Sensor-Based Localization (15 papers), Structural Health Monitoring Techniques (14 papers), Infrastructure Maintenance and Monitoring (11 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers) and Inertial Sensor and Navigation (9 papers). The work is most often cited by research in Geology (675 citations), Environmental Engineering (556 citations), Civil and Structural Engineering (461 citations), Computer Vision and Pattern Recognition (302 citations) and Instrumentation (39 citations). Ingo Neumann has collaborated with scholars based in Germany, China and Iran. Frequent co-authors include Hao Yang, Xiangyang Xu, Hamza Alkhatib, Boris Kargoll, Jens‐André Paffenholz, Wei Xu, Hansjörg Kutterer, Jens Hartmann, Yi Zhang and Gaël Kermarrec. Their work appears in journals such as Journal of Applied Geodesy, Composite Structures, Sensors, Remote Sensing and IEEE Sensors Journal.

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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