M. Büttner

898 total citations · 1 hit paper
36 papers, 615 citations indexed

About

M. Büttner is a scholar working on Agronomy and Crop Science, Genetics and Artificial Intelligence. According to data from OpenAlex, M. Büttner has authored 36 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Agronomy and Crop Science, 10 papers in Genetics and 9 papers in Artificial Intelligence. Recurrent topics in M. Büttner's work include Virus-based gene therapy research (10 papers), Dental Radiography and Imaging (9 papers) and Animal Disease Management and Epidemiology (9 papers). M. Büttner is often cited by papers focused on Virus-based gene therapy research (10 papers), Dental Radiography and Imaging (9 papers) and Animal Disease Management and Epidemiology (9 papers). M. Büttner collaborates with scholars based in Germany, Switzerland and Italy. M. Büttner's co-authors include Falk Schwendicke, H.‐J. Rziha, Vinay Pitchika, Christoph Dehio, Lisa Schneider, C.‐P. Czerny, Gregor Meyers, Alessandra Scagliarini, Colin J. McInnes and Ulf Leser and has published in prestigious journals such as Journal of Clinical Microbiology, Journal of Dental Research and Journal of General Virology.

In The Last Decade

M. Büttner

36 papers receiving 592 citations

Hit Papers

Artificial intelligence and personalized diagnostics in p... 2024 2026 2025 2024 10 20 30
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. Artificial intelligence and personalized diagnostics in periodontology: A narrative review
    2024 39 citations Vinay Pitchika, M. Büttner et al. Periodontology 2000 profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Büttner Germany 16 164 158 119 111 107 36 615
Chun-Ho PARK Japan 14 215 1.3× 204 1.3× 84 0.7× 69 0.6× 19 0.2× 61 611
Catherine G. Lamm United States 14 33 0.2× 86 0.5× 113 0.9× 189 1.7× 26 0.2× 50 784
Ana Maria Reis Ferreira Brazil 15 25 0.2× 93 0.6× 121 1.0× 76 0.7× 28 0.3× 127 856
Michele Lunardi Brazil 15 86 0.5× 411 2.6× 104 0.9× 243 2.2× 11 0.1× 44 647
Georges Khoury Australia 16 400 2.4× 232 1.5× 217 1.8× 126 1.1× 14 0.1× 45 1.2k
Jan Ramer United States 14 32 0.2× 119 0.8× 45 0.4× 24 0.2× 21 0.2× 34 507
Caroline N. Mislin Switzerland 8 130 0.8× 191 1.2× 163 1.4× 53 0.5× 5 0.0× 8 610
N. Barquero Spain 12 133 0.8× 229 1.4× 116 1.0× 186 1.7× 4 0.0× 20 446
J. E. Moulton United States 17 29 0.2× 201 1.3× 85 0.7× 129 1.2× 25 0.2× 57 802
Fun-In Wang Taiwan 21 28 0.2× 152 1.0× 178 1.5× 368 3.3× 20 0.2× 72 1.3k

Countries citing papers authored by M. Büttner

Since Specialization
Citations

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

Fields of papers citing papers by M. Büttner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Büttner

This figure shows the co-authorship network connecting the top 25 collaborators of M. Büttner. A scholar is included among the top collaborators of M. Büttner 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 M. Büttner. M. Büttner 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.
Büttner, M., et al.. (2025). From inconsistent annotations to ground truth: Aggregation strategies for annotations of proximal carious lesions in dental imagery. Journal of Dentistry. 157. 105728–105728. 1 indexed citations
2.
Schneider, Lisa, et al.. (2025). Assessment of CNNs, transformers, and hybrid architectures in dental image segmentation. Journal of Dentistry. 156. 105668–105668. 1 indexed citations
3.
Büttner, M., Rata Rokhshad, Julien Issa, et al.. (2024). Core outcomes measures in dental computer vision studies (DentalCOMS). Journal of Dentistry. 150. 105318–105318. 15 indexed citations
4.
Uribe, Sergio, Julien Issa, Noel N. Kim, et al.. (2024). Publicly Available Dental Image Datasets for Artificial Intelligence. Journal of Dental Research. 103(13). 1365–1374. 12 indexed citations
5.
Büttner, M., Lisa Schneider, Vinay Pitchika, et al.. (2024). Conquering class imbalances in deep learning-based segmentation of dental radiographs with different loss functions. Journal of Dentistry. 148. 105063–105063. 7 indexed citations
6.
Büttner, M., et al.. (2024). Artificial Intelligence in Orthodontics: Critical Review. Journal of Dental Research. 103(6). 577–584. 27 indexed citations
7.
Pitchika, Vinay, M. Büttner, & Falk Schwendicke. (2024). Artificial intelligence and personalized diagnostics in periodontology: A narrative review. Periodontology 2000. 95(1). 220–231. 39 indexed citations breakdown →
8.
Schneider, Lisa, Joachim Krois, M. Büttner, et al.. (2023). Federated vs Local vs Central Deep Learning of Tooth Segmentation on Panoramic Radiographs. Journal of Dentistry. 135. 104556–104556. 21 indexed citations
9.
Büttner, M., Ulf Leser, Lisa Schneider, & Falk Schwendicke. (2023). Natural Language Processing: Chances and Challenges in Dentistry. Journal of Dentistry. 141. 104796–104796. 33 indexed citations
10.
Büttner, M., et al.. (2023). Impact of Noisy Labels on Dental Deep Learning—Calculus Detection on Bitewing Radiographs. Journal of Clinical Medicine. 12(9). 3058–3058. 9 indexed citations
11.
Schwendicke, Falk & M. Büttner. (2023). Artificial intelligence: advances and pitfalls. BDJ. 234(10). 749–750. 5 indexed citations
12.
Büttner, M. & Falk Schwendicke. (2023). Natural language processing in dentistry. BDJ. 234(10). 753–753. 1 indexed citations
13.
Rinder, Monika, et al.. (2010). Avian Influenza A Virus Monitoring in Wild Birds in Bavaria: Occurrence and Heterogeneity of H5 and N1 Encoding Genes. Zoonoses and Public Health. 57(7-8). e184–94. 4 indexed citations
14.
15.
Droebner, Karoline, et al.. (2008). Early antiviral activity of CYSTUS052 against H5N1 influenza virus is more efficient compared to oseltamivir. Planta Medica. 74(9). 1 indexed citations
16.
Rziha, H.‐J., et al.. (2000). Generation of recombinant parapoxviruses: non-essential genes suitable for insertion and expression of foreign genes. Journal of Biotechnology. 83(1-2). 137–145. 40 indexed citations
17.
18.
Büttner, M., et al.. (1998). Isolation and characterization of cytopathogenic classical swine fever virus (CSFV). Archives of Virology. 143(7). 1295–1309. 30 indexed citations
19.
Büttner, M., et al.. (1997). Detection of virus or virus specific nucleic acid in foodstuff or bioproducts — hazards and risk assessment. PubMed. 13. 57–66. 8 indexed citations
20.
Büttner, M., et al.. (1995). Interferon induction in peripheral blood mononuclear leukocytes of man and farm animals by poxvirus vector candidates and some poxvirus constructs. Veterinary Immunology and Immunopathology. 46(3-4). 237–250. 38 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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