F. Ackermann

915 citations
28 papers · 559 · h-index 8

Impact in

Papers in

F. Ackermann

25 papers receiving 491 citations

Peers

F. Ackermann
Comparison fields: 5 of 72
  • Geology 108
  • Metals and Alloys 18
  • Environmental Engineering 95
  • Computer Vision and Pattern Recognition 128
  • Ocean Engineering 84
Replace W. H. Stevenson with:
W. H. Stevenson United States
Yuan Hu China
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Citations per field
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Citations per year

Countries citing papers authored by F. Ackermann

Since Specialization
Citations

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

Fields of papers citing papers by F. Ackermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside F. Ackermann, 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 F. Ackermann Line = papers co-authored together F. Ackermann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984206
2 1984165
3 198381
4 199816
5 196614
6 199414
7 19978
8 19817
9
Protein docking combining symbolic descriptions of molecular surfaces and grid-based scoring functions.
19956
10 19924
11 20024
12
RESULTS OF RECENT TESTS IN AERIAL TRIANGULATION
19753
13 19623
14 19863
15 19723
16
Development of Moms to a Future Multiband and Stereoscopic Sensor
19883
17 20023
18 19733
19
Matrix structures in block adjustments
19642
20 19622

About F. Ackermann

F. Ackermann is a scholar working on Ocean Engineering, Aerospace Engineering, Geology, Civil and Structural Engineering and Electrical and Electronic Engineering, having authored 28 papers that have together received 559 indexed citations. Recurring topics across this work include Satellite Image Processing and Photogrammetry (9 papers), 3D Surveying and Cultural Heritage (5 papers), Geodetic Measurements and Engineering Structures (4 papers), Historical Geography and Cartography (3 papers), Advanced Measurement and Detection Methods (3 papers), Remote Sensing and LiDAR Applications (3 papers), 3D Modeling in Geospatial Applications (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Geology (108 citations), Metals and Alloys (18 citations), Environmental Engineering (95 citations), Computer Vision and Pattern Recognition (128 citations) and Ocean Engineering (84 citations). F. Ackermann has collaborated with scholars based in Germany, Netherlands and France. Frequent co-authors include H. Mughrabi, L.P. Kubin, J. Lépinoux, A. Seeger, Gerhard Sagerer, Stefan Posch, G. Herrmann, Peter Krzystek, Franz Kümmert and D Meißner. Their work appears in journals such as The Photogrammetric Record, Photogrammetric Engineering & Remote Sensing, Bioinformatics, SHILAP Revista de lepidopterología and Photogrammetria.

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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