Michael Vollmer

852 total citations
24 papers, 335 citations indexed

About

Michael Vollmer is a scholar working on Surgery, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Michael Vollmer has authored 24 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 7 papers in Artificial Intelligence and 6 papers in Epidemiology. Recurrent topics in Michael Vollmer's work include AI in cancer detection (7 papers), Dental Radiography and Imaging (5 papers) and Cutaneous Melanoma Detection and Management (4 papers). Michael Vollmer is often cited by papers focused on AI in cancer detection (7 papers), Dental Radiography and Imaging (5 papers) and Cutaneous Melanoma Detection and Management (4 papers). Michael Vollmer collaborates with scholars based in Germany, United States and Austria. Michael Vollmer's co-authors include Andreas Vollmer, Carol Glaser, Babak Saravi, Jason D. Goldman, Andrew M. Luks, Christian Freudlsperger, Jürgen Hoffmann, Alexander Kübler, Gernot Lang and Stefan Hartmann and has published in prestigious journals such as Nucleic Acids Research, Neurology and Scientific Reports.

In The Last Decade

Michael Vollmer

23 papers receiving 327 citations

Peers

Michael Vollmer
Jessica L. Halliley United States
Carole Boudreaux United States
Wesley H. Stepp United States
Martina Dettwiler Switzerland
Martina Friess Switzerland
Michael Vollmer
Citations per year, relative to Michael Vollmer Michael Vollmer (= 1×) peers Julian Feulner

Countries citing papers authored by Michael Vollmer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Vollmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Vollmer

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Vollmer. A scholar is included among the top collaborators of Michael Vollmer 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 Michael Vollmer. Michael Vollmer 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
2.
Vollmer, Andreas, Stefan Hartmann, Michael Vollmer, et al.. (2024). Multimodal artificial intelligence-based pathogenomics improves survival prediction in oral squamous cell carcinoma. Scientific Reports. 14(1). 5687–5687. 13 indexed citations
3.
Vollmer, Andreas, Michael Vollmer, Gernot Lang, et al.. (2023). Automated Assessment of Radiographic Bone Loss in the Posterior Maxilla Utilizing a Multi-Object Detection Artificial Intelligence Algorithm. Applied Sciences. 13(3). 1858–1858. 5 indexed citations
4.
Vollmer, Andreas, Christos C. Zouboulis, Michael Vollmer, et al.. (2023). Finetuning of GLIDE stable diffusion model for AI-based text-conditional image synthesis of dermoscopic images. Frontiers in Medicine. 10. 1231436–1231436. 8 indexed citations
5.
Vollmer, Andreas, Stefan Hartmann, Roman C. Brands, et al.. (2023). Performance of artificial intelligence-based algorithms to predict prolonged length of stay after head and neck cancer surgery. Heliyon. 9(11). e20752–e20752.
6.
Vollmer, Andreas, Babak Saravi, Urs Müller‐Richter, et al.. (2023). Realizing in-house algorithm-driven free fibula flap set up within 24 hours: a pilot study evaluating accuracy with open-source tools. Frontiers in Surgery. 10. 1321217–1321217. 4 indexed citations
7.
Vollmer, Michael, Patrick Gholam, Babak Saravi, et al.. (2022). Deep Learning on Basal Cell Carcinoma In Vivo Reflectance Confocal Microscopy Data. Journal of Personalized Medicine. 12(9). 1471–1471. 5 indexed citations
8.
Vollmer, Andreas, Michael Vollmer, Gernot Lang, et al.. (2022). Associations between Periodontitis and COPD: An Artificial Intelligence-Based Analysis of NHANES III. Journal of Clinical Medicine. 11(23). 7210–7210. 17 indexed citations
9.
Vollmer, Andreas, Michael Vollmer, Gernot Lang, et al.. (2022). Performance Analysis of Supervised Machine Learning Algorithms for Automatized Radiographical Classification of Maxillary Third Molar Impaction. Applied Sciences. 12(13). 6740–6740. 8 indexed citations
10.
Flechtenmacher, Christa, Babak Saravi, Michael Vollmer, et al.. (2021). Deep Learning on Oral Squamous Cell Carcinoma Ex Vivo Fluorescent Confocal Microscopy Data: A Feasibility Study. Journal of Clinical Medicine. 10(22). 5326–5326. 34 indexed citations
11.
Goeppert, Benjamin, Matthias M. Gaida, Babak Saravi, et al.. (2021). Mandibular Brown Tumor as a Result of Secondary Hyperparathyroidism: A Case Report with 5 Years Follow-Up and Review of the Literature. International Journal of Environmental Research and Public Health. 18(14). 7370–7370. 10 indexed citations
12.
Flechtenmacher, Christa, Michael Vollmer, Andreas Vollmer, et al.. (2021). Feasibility and Implementation of Ex Vivo Fluorescence Confocal Microscopy for Diagnosis of Oral Leukoplakia: Preliminary Study. Diagnostics. 11(6). 951–951. 5 indexed citations
13.
Vollmer, Michael, Andreas Vollmer, Patrick Gholam, et al.. (2021). In vivo reflectance confocal microscopy of wounds: feasibility of intraoperative basal cell carcinoma margin assessment. Annals of Translational Medicine. 9(23). 1716–1716. 5 indexed citations
14.
Flechtenmacher, Christa, et al.. (2020). Detection of oral squamous cell carcinoma with ex vivo fluorescence confocal microscopy: Sensitivity and specificity compared to histopathology. Journal of Biophotonics. 13(9). e202000100–e202000100. 11 indexed citations
15.
Vollmer, Michael & Carol Glaser. (2016). A Balamuthia survivor. JMM Case Reports. 3(3). e005031–e005031. 14 indexed citations
16.
Greninger, Alexander L., Kevin Messacar, Thelma H. Dunnebacke, et al.. (2015). Clinical metagenomic identification of Balamuthia mandrillaris encephalitis and assembly of the draft genome: the continuing case for reference genome sequencing. Genome Medicine. 7(1). 113–113. 90 indexed citations
17.
Miller, Loren G., James A. McKinnell, Michael Vollmer, & Brad Spellberg. (2011). Impact of Methicillin-ResistantStaphylococcus aureusPrevalence among S.aureusIsolates on Surgical Site Infection Risk after Coronary Artery Bypass Surgery. Infection Control and Hospital Epidemiology. 32(4). 342–350. 16 indexed citations
18.
Miller, Loren G., James A. McKinnell, Michael Vollmer, & Brad Spellberg. (2011). Impact of Methicillin-Resistant Staphylococcus aureus Prevalence among S. aureus Isolates on Surgical Site Infection Risk after Coronary Artery Bypass Surgery. Infection Control and Hospital Epidemiology. 32(4). 342–350. 3 indexed citations
19.
Goldman, Jason D., Michael Vollmer, & Andrew M. Luks. (2010). Cryptococcosis in the Immunocompetent Patient. Respiratory Care. 55(11). 1499–1503. 30 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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