Martin Hofmann

1.6k total citations · 1 hit paper
71 papers, 965 citations indexed

About

Martin Hofmann is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Martin Hofmann has authored 71 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atomic and Molecular Physics, and Optics, 19 papers in Biomedical Engineering and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Martin Hofmann's work include Force Microscopy Techniques and Applications (20 papers), Video Surveillance and Tracking Methods (10 papers) and Nanofabrication and Lithography Techniques (7 papers). Martin Hofmann is often cited by papers focused on Force Microscopy Techniques and Applications (20 papers), Video Surveillance and Tracking Methods (10 papers) and Nanofabrication and Lithography Techniques (7 papers). Martin Hofmann collaborates with scholars based in Germany, United States and Austria. Martin Hofmann's co-authors include Gerhard Rigoll, Philipp Tiefenbacher, Daniel Wolf, Ivo W. Rangelow, Mathias Holz, Patrick Mäder, Tzvetan Ivanov, Alexander Reum, Ahmad Ahmad and Eberhard Manske and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Trends in Ecology & Evolution.

In The Last Decade

Martin Hofmann

67 papers receiving 915 citations

Hit Papers

Background segmentation with feedback: The Pixel-Based Ad... 2012 2026 2016 2021 2012 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Background segmentation with feedback: The Pixel-Based Adaptive Segmenter
    2012 426 citations Martin Hofmann, Philipp Tiefenbacher et al. profile →

Peers

Martin Hofmann
Ning Sun China
Xing Chen China
Xiaodong Zeng China
Philip Birch United Kingdom
Libo Zhang China
Xiaoliang Qian China
Markus Stricker Germany
Thomas J. Meitzler United States
Zhenhong Jia China
Yubo Tao China
Ning Sun China
Martin Hofmann
Citations per year, relative to Martin Hofmann Martin Hofmann (= 1×) peers Ning Sun

Countries citing papers authored by Martin Hofmann

Since Specialization
Citations

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

Fields of papers citing papers by Martin Hofmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Hofmann

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Hofmann. A scholar is included among the top collaborators of Martin Hofmann 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 Martin Hofmann. Martin Hofmann 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.
Hofmann, Martin, Patrick Mäder, Jana Wäldchen, et al.. (2025). Towards the automatized identification of moss species from their spore morphology. Annals of Botany. 137(1). 171–180.
2.
Walther, F., Martin Hofmann, Demetra Rákosy, et al.. (2025). Multispectral Imaging Flow Cytometry for Spatio‐Temporal Pollen Trait Variation Measurements of Insect‐Pollinated Plants. Cytometry Part A. 107(5). 293–308.
3.
Catoiu, Edward, Beatriz L. Rodríguez, Ziheng Wang, et al.. (2025). QSProteome: a community-driven interactive platform for large-scale exploration and evaluation of predicted protein complex structures. Nucleic Acids Research. 54(D1). D661–D672. 1 indexed citations
4.
Hofmann, Martin, et al.. (2025). Concept transfer of synaptic diversity from biological to artificial neural networks. Nature Communications. 16(1). 5112–5112. 1 indexed citations
5.
Karbstein, Kevin, Ladislav Hodač, Martin Hofmann, et al.. (2024). Species delimitation 4.0: integrative taxonomy meets artificial intelligence. Trends in Ecology & Evolution. 39(8). 771–784. 39 indexed citations
6.
Hofmann, Martin, Mathias Holz, Harald Plank, & Steffen Strehle. (2022). Localized direct material removal and deposition by nanoscale field emission scanning probes. Micro and Nano Engineering. 16. 100146–100146. 1 indexed citations
7.
Hofmann, Martin, et al.. (2022). Object classification on video data of meteors and meteor-like phenomena: algorithm and data. Monthly Notices of the Royal Astronomical Society. 516(1). 811–823. 2 indexed citations
8.
Holz, Mathias, Ahmad Ahmad, Alexander Reum, et al.. (2019). Correlative Microscopy and Nanofabrication with AFM Integrated with SEM. Microscopy Today. 27(6). 24–30. 8 indexed citations
9.
Holz, Mathias, Alexander Reum, Ahmad Ahmad, et al.. (2019). Atomic force microscope integrated into a scanning electron microscope for fabrication and metrology at the nanometer scale. 51–51. 5 indexed citations
10.
Hofmann, Martin, Marco Seeland, & Patrick Mäder. (2018). Efficiently Annotating Object Images with Absolute Size Information Using Mobile Devices. International Journal of Computer Vision. 127(2). 207–224. 9 indexed citations
11.
Hofmann, Martin, Philipp Tiefenbacher, & Gerhard Rigoll. (2012). Background segmentation with feedback: The Pixel-Based Adaptive Segmenter. 38–43. 426 indexed citations breakdown →
12.
Aliakbarpour, Hadi, et al.. (2011). Probabilistic LMA-based human motion analysis by conjugating frequency and spatial based features. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 6 indexed citations
13.
Hofmann, Martin, M. Shamim Kaiser, Hadi Aliakbarpour, & Gerhard Rigoll. (2011). Fusion of Multi-Modal Sensors in a Voxel Occupancy Grid for Tracking and Behaviour Analysis. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 7 indexed citations
14.
Witte, Kerstin, et al.. (2008). ELECTROMYOGRAPHIC RESEARCHES OF GYAKU-ZUKIIN KARATE KUMITE. ISBS - Conference Proceedings Archive. 1(1). 4 indexed citations
15.
Hofmann, Martin, et al.. (2008). BIOMECHANICAL ANALYSIS OF FIST PUNCH GYAKU-ZUKI IN KARATE. ISBS - Conference Proceedings Archive. 1(1). 5 indexed citations
16.
Witte, Kerstin, et al.. (2008). ACCELERATION COURSE OF FIST PUSH OF GYAKU-ZUKI. ISBS - Conference Proceedings Archive. 1(1). 5 indexed citations
17.
Hofmann, Martin, et al.. (2006). Modelling with BRG.LifeMODTM in Sport Science.. 5. 2 indexed citations
18.
19.
Hofmann, Martin. (1998). A novel technology for packing and unpacking pilot and production scale columns. Journal of Chromatography A. 796(1). 75–80. 14 indexed citations
20.
Hofmann, Martin & Thomas Streicher. (1997). Continuation models are universal for lambda-mu-calculus. 387–395. 18 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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