Robert Mendel

1.1k total citations
24 papers, 516 citations indexed

About

Robert Mendel is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Robert Mendel has authored 24 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 16 papers in Pulmonary and Respiratory Medicine and 6 papers in Oncology. Recurrent topics in Robert Mendel's work include Esophageal Cancer Research and Treatment (14 papers), Gastric Cancer Management and Outcomes (11 papers) and Lung Cancer Diagnosis and Treatment (9 papers). Robert Mendel is often cited by papers focused on Esophageal Cancer Research and Treatment (14 papers), Gastric Cancer Management and Outcomes (11 papers) and Lung Cancer Diagnosis and Treatment (9 papers). Robert Mendel collaborates with scholars based in Germany, Brazil and Canada. Robert Mendel's co-authors include Christoph Palm, Alanna Ebigbo, Luis A. de Souza, João Paulo Papa, Helmut Messmann, Andreas Probst, Johannes Manzeneder, Friederike Prinz, Gordon D. Mattison and Philip D. Delivanis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gut and Scientific Reports.

In The Last Decade

Robert Mendel

22 papers receiving 489 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robert Mendel 300 265 168 143 89 24 516
Florian Soudan 205 0.7× 96 0.4× 361 2.1× 212 1.5× 124 1.4× 5 473
Florent Chandelier 235 0.8× 91 0.3× 361 2.1× 240 1.7× 144 1.6× 7 507
Yoshimasa Horie 306 1.0× 262 1.0× 166 1.0× 158 1.1× 57 0.6× 16 497
Kenichi Takeda 252 0.8× 155 0.6× 433 2.6× 235 1.6× 136 1.5× 21 575
Talal Alkayali 197 0.7× 85 0.3× 347 2.1× 243 1.7× 170 1.9× 23 555
Priyam Tripathi 230 0.8× 79 0.3× 383 2.3× 240 1.7× 168 1.9× 6 550
Yukitaka Nimura 162 0.5× 68 0.3× 157 0.9× 158 1.1× 77 0.9× 25 357
Joost van der Putten 432 1.4× 402 1.5× 273 1.6× 174 1.2× 68 0.8× 32 654
Peter H. de With 337 1.1× 315 1.2× 185 1.1× 123 0.9× 40 0.4× 11 490
Maarten R. Struyvenberg 473 1.6× 469 1.8× 298 1.8× 175 1.2× 66 0.7× 30 727

Countries citing papers authored by Robert Mendel

Since Specialization
Citations

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

Fields of papers citing papers by Robert Mendel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Mendel

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Mendel. A scholar is included among the top collaborators of Robert Mendel 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 Robert Mendel. Robert Mendel 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.
Mendel, Robert, Anna Muzalyova, David Rauber, et al.. (2025). Use of artificial intelligence in submucosal vessel detection during third-space endoscopy. Endoscopy. 57(7). 760–766. 3 indexed citations
2.
Mendel, Robert, Christoph Palm, Andreas Probst, et al.. (2024). Influence of artificial intelligence on the diagnostic performance of endoscopists in the assessment of Barrett’s esophagus: a tandem randomized and video trial. Endoscopy. 56(9). 641–649. 16 indexed citations
3.
Souza, Luis A. de, Leandro A. Passos, Robert Mendel, et al.. (2024). Layer-selective deep representation to improve esophageal cancer classification. Medical & Biological Engineering & Computing. 62(11). 3355–3372. 1 indexed citations
4.
Souza, Luis A. de, André G. C. Pacheco, Leandro A. Passos, et al.. (2024). DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett’s esophagus. Neural Computing and Applications. 36(18). 10445–10459.
5.
Mendel, Robert, David Rauber, Luis A. de Souza, João Paulo Papa, & Christoph Palm. (2023). Error-Correcting Mean-Teacher: Corrections instead of consistency-targets applied to semi-supervised medical image segmentation. Computers in Biology and Medicine. 154. 106585–106585. 12 indexed citations
6.
Ebigbo, Alanna, Robert Mendel, Andreas Probst, et al.. (2022). Vessel and tissue recognition during third-space endoscopy using a deep learning algorithm. Gut. 71(12). 2388–2390. 23 indexed citations
7.
Mendel, Robert, Andreas Probst, Stefan Gölder, et al.. (2022). INFLUENCE OF AN ARTIFICIAL INTELLIGENCE (AI) BASED DECISION SUPPORT SYSTEM (DSS) ON THE DIAGNOSTIC PERFORMANCE OF NON-EXPERTS IN BARRETT´S ESOPHAGUS RELATED NEOPLASIA (BERN). Endoscopy. 54(S 01). S39–S39. 1 indexed citations
8.
Römmele, Christoph, Robert Mendel, David Rauber, et al.. (2022). An artificial intelligence algorithm is highly accurate for detecting endoscopic features of eosinophilic esophagitis. Scientific Reports. 12(1). 11115–11115. 12 indexed citations
9.
Souza, Luis A. de, Robert Mendel, Alanna Ebigbo, et al.. (2021). Convolutional Neural Networks for the evaluation of cancer in Barrett's esophagus: Explainable AI to lighten up the black-box. Computers in Biology and Medicine. 135. 104578–104578. 42 indexed citations
10.
Römmele, Christoph, et al.. (2021). Endoscopic Diagnosis of Eosinophilic Esophagitis Using a deep Learning Algorithm. Endoscopy. 1 indexed citations
11.
Rauber, David, et al.. (2021). Detection Of Celiac Disease Using A Deep Learning Algorithm. Endoscopy. 1 indexed citations
12.
Souza, Luis A. de, Leandro A. Passos, Robert Mendel, et al.. (2020). Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks. Computers in Biology and Medicine. 126. 104029–104029. 33 indexed citations
13.
Ebigbo, Alanna, Robert Mendel, Andreas Probst, et al.. (2019). Real-time use of artificial intelligence in the evaluation of cancer in Barrett’s oesophagus. Gut. 69(4). 615–616. 123 indexed citations
14.
Passos, Leandro A., Luis A. de Souza, Robert Mendel, et al.. (2019). Barrett’s esophagus analysis using infinity Restricted Boltzmann Machines. Journal of Visual Communication and Image Representation. 59. 475–485. 13 indexed citations
15.
Ebigbo, Alanna, Robert Mendel, Andreas Probst, et al.. (2018). Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinoma. Gut. 68(7). 1143–1145. 114 indexed citations
16.
Souza, Luis A. de, Christoph Palm, Robert Mendel, et al.. (2018). A survey on Barrett's esophagus analysis using machine learning. Computers in Biology and Medicine. 96. 203–213. 37 indexed citations
17.
Souza, Luis A. de, Alanna Ebigbo, Andreas Probst, et al.. (2018). Barrett's Esophagus Identification Using Color Co-Occurrence Matrices. UNESP Institutional Repository (São Paulo State University). 166–173. 9 indexed citations
18.
Farman, Allan G., Robert Mendel, & J.A. von Fraunhofer. (1988). Ultraspeed versus ektaspeed X-ray film: Endodontists' perceptions. Journal of Endodontics. 14(12). 615–619. 4 indexed citations
19.
Mendel, Robert, et al.. (1981). Management of Opalescent Dentin: Report of Case with Long-Term Followup. The Journal of the American Dental Association. 102(1). 53–55. 5 indexed citations
20.
Mendel, Robert. (1974). Indirect pulp capping--some whys, whens and hows.. PubMed. 26(1). 22–6. 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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