Ferdinand Maiwald

410 total citations · 1 hit paper
23 papers, 222 citations indexed

About

Ferdinand Maiwald is a scholar working on Geology, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Ferdinand Maiwald has authored 23 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Geology, 16 papers in Computer Vision and Pattern Recognition and 10 papers in Aerospace Engineering. Recurrent topics in Ferdinand Maiwald's work include 3D Surveying and Cultural Heritage (20 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Robotics and Sensor-Based Localization (10 papers). Ferdinand Maiwald is often cited by papers focused on 3D Surveying and Cultural Heritage (20 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Robotics and Sensor-Based Localization (10 papers). Ferdinand Maiwald collaborates with scholars based in Germany, Switzerland and Netherlands. Ferdinand Maiwald's co-authors include Florian Niebling, Sander Münster, D. Schneider, Hans‐Gerd Maas, Johan Oomen, Anette Eltner, Denis Feurer, Antoine Isaac, M Hofmann and Fabio Remondino and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Ferdinand Maiwald

20 papers receiving 202 citations

Hit Papers

Artificial Intelligence for Digital Heritage Innovation: ... 2024 2026 2025 2024 5 10 15 20 25

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ferdinand Maiwald Germany 10 156 115 57 40 35 23 222
George Ioannakis Greece 8 261 1.7× 116 1.0× 57 1.0× 49 1.2× 84 2.4× 17 367
Blaž Vidmar Slovenia 3 293 1.9× 106 0.9× 59 1.0× 52 1.3× 102 2.9× 3 337
Mona Hess United Kingdom 10 177 1.1× 99 0.9× 39 0.7× 55 1.4× 37 1.1× 37 239
I. Kalisperakis Greece 9 107 0.7× 122 1.1× 62 1.1× 12 0.3× 20 0.6× 31 318
Dante Abate Cyprus 9 161 1.0× 59 0.5× 20 0.4× 80 2.0× 67 1.9× 39 261
Ernesto Bernardo Italy 9 112 0.7× 27 0.2× 11 0.2× 30 0.8× 32 0.9× 19 199
Fausta Fiorillo Italy 10 230 1.5× 46 0.4× 27 0.5× 74 1.9× 108 3.1× 41 328
A. Mandelli Italy 9 224 1.4× 52 0.5× 22 0.4× 78 1.9× 69 2.0× 29 275
Anna Maria Manferdini Italy 8 220 1.4× 52 0.5× 23 0.4× 68 1.7× 73 2.1× 20 246
Julien Seinturier France 10 165 1.1× 87 0.8× 61 1.1× 17 0.4× 59 1.7× 22 279

Countries citing papers authored by Ferdinand Maiwald

Since Specialization
Citations

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

Fields of papers citing papers by Ferdinand Maiwald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ferdinand Maiwald

This figure shows the co-authorship network connecting the top 25 collaborators of Ferdinand Maiwald. A scholar is included among the top collaborators of Ferdinand Maiwald 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 Ferdinand Maiwald. Ferdinand Maiwald 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.
Lühmann, Thomas, et al.. (2025). An End-to-End AI Pipeline for Wood Knot Detection to Enhance Structural Assessment in Historic Timber Structures. ISPRS annals of the photogrammetry, remote sensing and spatial information sciences. X-M-2-2025. 267–274.
2.
Münster, Sander, et al.. (2024). Artificial Intelligence for Digital Heritage Innovation: Setting up a R&D Agenda for Europe. Heritage. 7(2). 794–816. 28 indexed citations breakdown →
3.
Maiwald, Ferdinand, et al.. (2024). DEEP-IMAGE-MATCHING: A TOOLBOX FOR MULTIVIEW IMAGE MATCHING OF COMPLEX SCENARIOS. SHILAP Revista de lepidopterología. XLVIII-2/W4-2024. 309–316. 13 indexed citations
4.
Münster, Sander, et al.. (2024). A Digital 4D Information System on the World Scale: Research Challenges, Approaches, and Preliminary Results. Applied Sciences. 14(5). 1992–1992. 2 indexed citations
5.
Maiwald, Ferdinand, et al.. (2023). Giving Historical Photographs a New Perspective: Introducing Camera Orientation Parameters as New Metadata in a Large-Scale 4D Application. Remote Sensing. 15(7). 1879–1879. 5 indexed citations
6.
Maiwald, Ferdinand, Denis Feurer, & Anette Eltner. (2023). Solving photogrammetric cold cases using AI-based image matching: New potential for monitoring the past with historical aerial images. ISPRS Journal of Photogrammetry and Remote Sensing. 206. 184–200. 11 indexed citations
7.
Maiwald, Ferdinand, et al.. (2022). ON THE USE OF POLARIZATION CAMERAS FOR THE DETERMINATION OF CONCRETE MOISTURE. SHILAP Revista de lepidopterología. XLIII-B1-2022. 113–119.
8.
Maiwald, Ferdinand, et al.. (2021). Fully Automated Pose Estimation of Historical Images in the Context of 4D Geographic Information Systems Utilizing Machine Learning Methods. ISPRS International Journal of Geo-Information. 10(11). 748–748. 22 indexed citations
9.
Münster, Sander, et al.. (2021). WHERE ARE WE NOW ON THE ROAD TO 4D URBAN HISTORY RESEARCH AND DISCOVERY?. SHILAP Revista de lepidopterología. VIII-M-1-2021. 109–116. 5 indexed citations
11.
Maiwald, Ferdinand & Hans‐Gerd Maas. (2021). An automatic workflow for orientation of historical images with large radiometric and geometric differences. The Photogrammetric Record. 36(174). 77–103. 14 indexed citations
12.
Niebling, Florian, et al.. (2020). Supporting Learning in Art History – Artificial Intelligence in Digital Humanities Education. Qucosa (Saxon State and University Library Dresden). 2 indexed citations
13.
14.
Maiwald, Ferdinand, et al.. (2019). A 4D information system for the exploration of multitemporal images and maps using photogrammetry, web technologies and VR/AR. Virtual Archaeology Review. 10(21). 1–1. 18 indexed citations
15.
Maiwald, Ferdinand, et al.. (2019). GEO-INFORMATION TECHNOLOGIES FOR A MULTIMODAL ACCESS ON HISTORICAL PHOTOGRAPHS AND MAPS FOR RESEARCH AND COMMUNICATION IN URBAN HISTORY. SHILAP Revista de lepidopterología. XLII-2/W11. 763–769. 5 indexed citations
16.
Maiwald, Ferdinand. (2019). GENERATION OF A BENCHMARK DATASET USING HISTORICAL PHOTOGRAPHS FOR AN AUTOMATED EVALUATION OF DIFFERENT FEATURE MATCHING METHODS. SHILAP Revista de lepidopterología. XLII-2/W13. 87–94. 13 indexed citations
17.
Maiwald, Ferdinand, et al.. (2018). Browsing and Experiencing Repositories of Spatially Oriented Historic Photographic Images. SHILAP Revista de lepidopterología. 2(2). 138–149. 4 indexed citations
18.
Maiwald, Ferdinand, et al.. (2018). FEATURE MATCHING OF HISTORICAL IMAGES BASED ON GEOMETRY OF QUADRILATERALS. SHILAP Revista de lepidopterología. XLII-2. 643–650. 17 indexed citations
19.
Maiwald, Ferdinand, et al.. (2017). PHOTOGRAMMETRIC ANALYSIS OF HISTORICAL IMAGE REPOSITORIES FOR VIRTUAL RECONSTRUCTION IN THE FIELD OF DIGITAL HUMANITIES. SHILAP Revista de lepidopterología. XLII-2/W3. 447–452. 29 indexed citations
20.
Münster, Sander, et al.. (2017). URBAN HISTORY IN 4 DIMENSIONS – SUPPORTING RESEARCH AND EDUCATION. SHILAP Revista de lepidopterología. XLII-2/W5. 525–530. 3 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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