Joachim Krois

8.0k total citations · 7 hit papers
95 papers, 4.9k citations indexed

About

Joachim Krois is a scholar working on Oral Surgery, Periodontics and General Dentistry. According to data from OpenAlex, Joachim Krois has authored 95 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Oral Surgery, 42 papers in Periodontics and 23 papers in General Dentistry. Recurrent topics in Joachim Krois's work include Dental Radiography and Imaging (49 papers), Dental Health and Care Utilization (32 papers) and Oral microbiology and periodontitis research (27 papers). Joachim Krois is often cited by papers focused on Dental Radiography and Imaging (49 papers), Dental Health and Care Utilization (32 papers) and Oral microbiology and periodontitis research (27 papers). Joachim Krois collaborates with scholars based in Germany, Switzerland and India. Joachim Krois's co-authors include Falk Schwendicke, Wojciech Samek, Karim Elhennawy, Akhilanand Chaurasia, Jesús Gómez Rossi, Martin Dreher, Robert Gaudin, Gerd Göstemeyer, Anselmo García Cantú Ros and Sergio Uribe and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Dental Research.

In The Last Decade

Joachim Krois

93 papers receiving 4.8k citations

Hit Papers

Artificial Intelligence in Dentistry: Chances and Challenges 2019 2026 2021 2023 2020 2019 2019 2019 2021 200 400 600
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 in Dentistry: Chances and Challenges
    2020 644 citations Falk Schwendicke, Joachim Krois et al. profile →
  2. Deep Learning for the Radiographic Detection of Periodontal Bone Loss
    2019 331 citations Joachim Krois, Falk Schwendicke et al. profile →
  3. Convolutional neural networks for dental image diagnostics: A scoping review
    2019 315 citations Falk Schwendicke, Joachim Krois et al. Journal of Dentistry profile →
  4. Deep Learning for the Radiographic Detection of Apical Lesions
    2019 253 citations Joachim Krois, Falk Schwendicke et al. profile →
  5. Artificial intelligence in dental research: Checklist for authors, reviewers, readers
    2021 242 citations Falk Schwendicke, Jae‐Hong Lee et al. Journal of Dentistry profile →
  6. Detecting caries lesions of different radiographic extension on bitewings using deep learning
    2020 207 citations Joachim Krois, Akhilanand Chaurasia et al. Journal of Dentistry profile →
  7. Deep learning for caries detection: A systematic review
    2022 161 citations Hossein Mohammad‐Rahimi, Joachim Krois et al. Journal of Dentistry profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joachim Krois Germany 33 3.2k 1.2k 1.2k 1.0k 929 95 4.9k
Jae‐Hong Lee South Korea 23 2.0k 0.6× 628 0.5× 493 0.4× 347 0.3× 618 0.7× 77 2.6k
Akhilanand Chaurasia India 19 942 0.3× 231 0.2× 324 0.3× 359 0.3× 272 0.3× 109 1.5k
Shilpa Bhandi Saudi Arabia 21 1.0k 0.3× 337 0.3× 302 0.3× 171 0.2× 259 0.3× 146 1.9k
Sergio Uribe Chile 16 601 0.2× 463 0.4× 289 0.2× 210 0.2× 148 0.2× 63 1.3k
André Ferreira Leite Brazil 22 998 0.3× 109 0.1× 189 0.2× 88 0.1× 371 0.4× 82 1.9k
Siriwan Suebnukarn Thailand 25 527 0.2× 129 0.1× 357 0.3× 146 0.1× 205 0.2× 84 1.6k
Joel M. White United States 31 1.4k 0.5× 796 0.7× 342 0.3× 31 0.0× 101 0.1× 134 3.2k
Venkateshbabu Nagendrababu United Arab Emirates 31 2.3k 0.7× 423 0.4× 189 0.2× 81 0.1× 144 0.2× 161 3.3k
Hossein Mohammad‐Rahimi Iran 19 550 0.2× 72 0.1× 155 0.1× 338 0.3× 181 0.2× 51 1.1k
Padhraig S. Fleming United Kingdom 40 1.5k 0.5× 467 0.4× 372 0.3× 48 0.0× 129 0.1× 208 4.8k

Countries citing papers authored by Joachim Krois

Since Specialization
Citations

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

Fields of papers citing papers by Joachim Krois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joachim Krois

This figure shows the co-authorship network connecting the top 25 collaborators of Joachim Krois. A scholar is included among the top collaborators of Joachim Krois 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 Joachim Krois. Joachim Krois 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., 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
2.
Holtfreter, Birte, Kathrin Kuhr, Katrin Borof, et al.. (2024). ACES: A new framework for the application of the 2018 periodontal status classification scheme to epidemiological survey data. Journal Of Clinical Periodontology. 51(5). 512–521. 21 indexed citations
3.
Rokhshad, Rata, Maxime Ducret, Akhilanand Chaurasia, et al.. (2023). Ethical considerations on artificial intelligence in dentistry: A framework and checklist. Journal of Dentistry. 135. 104593–104593. 58 indexed citations
4.
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
5.
Arsiwala-Scheppach, Lubaina T., Nora Castner, Sarah Mertens, et al.. (2023). Gaze patterns of dentists while evaluating bitewing radiographs. Journal of Dentistry. 135. 104585–104585. 3 indexed citations
6.
Pitchika, Vinay, et al.. (2023). Machine Learning to Predict Apical Lesions: A Cross-Sectional and Model Development Study. Journal of Clinical Medicine. 12(17). 5464–5464. 4 indexed citations
7.
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
8.
Schwendicke, Falk, Joachim Krois, S. Van den Bosch, et al.. (2023). Patients’ perspectives on the use of artificial intelligence in dentistry: a regional survey. Head & Face Medicine. 19(1). 23–23. 28 indexed citations
9.
Schwendicke, Falk, Lubaina T. Arsiwala-Scheppach, & Joachim Krois. (2023). Artificial intelligence: what it is and what it can do for dentists. Dental Update. 50(4). 245–249.
10.
Mohammad‐Rahimi, Hossein, Shankeeth Vinayahalingam, Parisa Soltani, et al.. (2023). Super-Resolution of Dental Panoramic Radiographs Using Deep Learning: A Pilot Study. Diagnostics. 13(5). 996–996. 10 indexed citations
11.
Mohammad‐Rahimi, Hossein, Rata Rokhshad, Sompop Bencharit, Joachim Krois, & Falk Schwendicke. (2023). Deep learning: A primer for dentists and dental researchers. Journal of Dentistry. 130. 104430–104430. 58 indexed citations
12.
13.
Krois, Joachim, et al.. (2022). Patients’ Perspectives on Artificial Intelligence in Dentistry: A Controlled Study. Journal of Clinical Medicine. 11(8). 2143–2143. 32 indexed citations
14.
Kuchler, Ulrike, Falk Schwendicke, Lisa Schneider, et al.. (2022). Emulating Clinical Diagnostic Reasoning for Jaw Cysts with Machine Learning. Diagnostics. 12(8). 1968–1968. 14 indexed citations
15.
Wierichs, Richard Johannes, Enno J. Kramer, B Reiss, et al.. (2021). A prospective, multi-center, practice-based cohort study on all-ceramic crowns. Dental Materials. 37(8). 1273–1282. 10 indexed citations
16.
Kanzow, Philipp, Joachim Krois, Annette Wiegand, & Falk Schwendicke. (2021). Long-term treatment costs and cost-effectiveness of restoration repair versus replacement. Dental Materials. 37(6). e375–e381. 9 indexed citations
17.
Chaurasia, Akhilanand, et al.. (2021). Classification of Dental Radiographs Using Deep Learning. Journal of Clinical Medicine. 10(7). 1496–1496. 35 indexed citations
18.
Schwendicke, Falk, Lubaina T. Arsiwala-Scheppach, Joachim Krois, et al.. (2021). Association, prediction, generalizability: Cross-center validity of predicting tooth loss in periodontitis patients. Journal of Dentistry. 109. 103662–103662. 11 indexed citations
19.
Meyer‐Lueckel, H., Joachim Krois, Kerstin Bitter, et al.. (2021). Proximal caries infiltration – Pragmatic RCT with 4 years of follow-up. Journal of Dentistry. 111. 103733–103733. 11 indexed citations
20.
Krois, Joachim, et al.. (2021). Costs for Statutorily Insured Dental Services in Older Germans 2012–2017. International Journal of Environmental Research and Public Health. 18(12). 6669–6669. 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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