Institution · Averbis (Germany)
Most cited papers from Averbis (Germany)
What are the most cited papers from Averbis (Germany)?
The most cited paper from Averbis (Germany) is "MIRACUM: Medical Informatics in Research and Care in University Medicine" (Hans‐Ulrich Prokosch et al., 2018), with 148 citations. Next come "Smart Medical Information Technology for Healthcare (SMITH)" (142) and "Standards in Healthcare Data" (82).
Showing 50 of 58 papers. Every paper is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | MIRACUM: Medical Informatics in Research and Care in University Medicine Hans‐Ulrich Prokosch et al. · Methods of Information in Medicine | Jul 2018 | 148 |
| 2 | Smart Medical Information Technology for Healthcare (SMITH) Alfred Winter et al. · Methods of Information in Medicine | Jul 2018 | 142 |
| 3 | Standards in Healthcare Data Stefan Schulz, Robert A. Stegwee, Catherine E. Chronaki | 21 Dec 2018 | 82 |
| 4 | Intelligent image retrieval based on radiology reports Axel Gerstmair, Philipp Daumke, Kai Simon et al. · European Radiology | 3 Aug 2012 | 33 |
| 5 | Fine-grained information extraction from German transthoracic echocardiography reports Martin Toepfer, Hamo Corovic, Georg Fette et al. · BMC Medical Informatics and Decision Making | 12 Nov 2015 | 31 |
| 6 | Classification of Dermal Exposure Modifiers and Assignment of Values for a Risk Assessment Toolkit Henk A Goede, S C H A Tijssen, H. Schipper et al. · The Annals of Occupational Hygiene | Nov 2003 | 28 |
| 7 | Linking legal open data Guido Boella, Luigi Di, Michele Graziadei et al. | 8 Jun 2015 | 28 |
| 8 | The Clinical Data Intelligence Project Daniel Sonntag, Volker Tresp, Sonja Zillner et al. · Informatik-Spektrum | 3 Aug 2015 | 28 |
| 9 | Time‐dependent prediction of mortality and cytomegalovirus reactivation after allogeneic hematopoietic cell transplantation using machine learning Lisa Eisenberg, Christian Brossette, Jochen Rauch et al. · American Journal of Hematology | 31 Jul 2022 | 25 |
| 10 | Clinical Text Mining on FHIR Philipp Daumke, Kai U. Heitmann, Simone Heckmann et al. · Studies in health technology and informatics | 2019 | 25 |
| 11 | Optimizing Neural Networks for Patent Classification Louay Abdelgawad, Peter Kluegl, Erdan Genc et al. · Lecture notes in computer science | 2020 | 23 |
| 12 | Formal representation of complex SNOMED CT expressions Stefan Schulz, Kornél Markó, Boontawee Suntisrivaraporn · BMC Medical Informatics and Decision Making | Oct 2008 | 22 |
| 13 | Natural Language Processing in Diagnostic Texts from Nephropathology Maximilian Legnar, Philipp Daumke, Jürgen Hesser et al. · Diagnostics | 15 Jul 2022 | 20 |
| 14 | NPU, LOINC, and SNOMED CT: a comparison of terminologies for laboratory results reveals individual advantages and a lack of possibilities to encode interpretive comments Andreas Bietenbeck, Martin Boeker, Stefan Schulz · Journal of Laboratory Medicine | 27 Oct 2018 | 19 |
| 15 | Recognizing chemicals in patents: a comparative analysis Maryam Habibi, David Luis Wiegandt, Florian Schmedding et al. · Journal of Cheminformatics | 28 Oct 2016 | 18 |
| 16 | Entity Recognition in Parallel Multi-lingual Biomedical Corpora: The CLEF-ER Laboratory Overview Dietrich Rebholz‐Schuhmann, Simon Clematide, Fabio Rinaldi et al. · Lecture notes in computer science | 2013 | 17 |
| 17 | Validation of Semantic Analyses of Unstructured Medical Data for Research Purposes Roman Michael Pokora, Lucian Le Cornet, Philipp Daumke et al. · Das Gesundheitswesen | 9 Oct 2019 | 15 |
| 18 | Building an Experimental German User Interface Terminology Linked to SNOMED CT Hashemian Nik David, Zdenko Kasáč, Zsófia Goda et al. · Studies in health technology and informatics | 2019 | 14 |
| 19 | Representing oncology in datasets: Standard or custom biomedical terminology? Stefan Schulz, Philipp Daumke, Martin Romacker et al. · Informatics in Medicine Unlocked | 2019 | 14 |
| 20 | Artificial intelligence based data curation: enabling a patient-centric European health data space Isabelle de Zegher, Kerli Norak, Dominik Steiger et al. · Frontiers in Medicine | 15 May 2024 | 13 |
| 21 | Improving the Quality and Utility of Electronic Health Record Data through Ontologies Yu Lin, Sivaram Arabandi, Thomas Beale et al. · Standards | 15 Sep 2023 | 13 |
| 22 | Linguistic and ontological challenges of multiple domains contributing to transformed health ecosystems Markus Kreuzthaler, Mathias Brochhausen, Cilia E. Zayas et al. · Frontiers in Medicine | 15 Mar 2023 | 12 |
| 23 | A novel tool for the identification of correlations in medical data by faceted search Danilo Marcello Schmidt, Klemens Budde, Daniel Sonntag et al. · Computers in Biology and Medicine | 14 Apr 2017 | 12 |
| 24 | XplOit: An Ontology-Based Data Integration Platform Supporting the Development of Predictive Models for Personalized Medicine Gabriele Weiler, Ulf Schwarz, Jochen Rauch et al. · Studies in health technology and informatics | 2018 | 11 |
| 25 | Subword-based Semantic Retrieval of Clinical and Bibliographic Documents Stefan Schulz, Marvin Müller, W Dzeyk et al. · Methods of Information in Medicine | 2010 | 11 |
| 26 | First Steps to Evaluate an NLP Tool’s Medication Extraction Accuracy from Discharge Letters Deniz Çalışkan, Jakob Zierk, Detlef Kraska et al. · Studies in health technology and informatics | 24 May 2021 | 8 |
| 27 | Model-driven survival prediction after congenital heart surgery Christoph Zürn, David Hübner, Victoria C. Ziesenitz et al. · Interdisciplinary CardioVascular and Thoracic Surgery | 5 Jun 2023 | 7 |
| 28 | Semi-automated De-identification of German Content Sensitive Reports for Big Data Analytics Hannes Seuß, Peter Dankerl, Matthias Ihle et al. · RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren | 23 Mar 2017 | 7 |
| 29 | A dynamic time‐to‐event model for prediction of acute graft‐versus‐host disease in patients after allogeneic hematopoietic stem cell transplantation Katharina Och et al. · Cancer Medicine | 22 Dec 2023 | 5 |
| 30 | Combining Visual Cleansing and Exploration for Clinical Data Christoph Schmidt, Martin Röhlig, Bastian Grundel et al. | Oct 2019 | 5 |
| 31 | Comparative evaluation of automated information extraction from pathology reports in three German cancer registries Stefan Schulz, Sonja Fix, Peter Klügl et al. · German Medical Science (German Research Foundation) | 31 Mar 2021 | 4 |
| 32 | Merkmalsextraktion aus klinischen Routinedaten mittels Text-Mining Bastian Grundel, Marc-Antoine Bernardeau, Holger Langner et al. · Der Ophthalmologe | 28 Jul 2020 | 4 |
| 33 | Advancing Biomarker Development Through Convergent Engagement: Summary Report of the 2nd International Danube Symposium on Biomarker Development, Molecular Imaging and Applied Diagnostics; March 14–16, 2018; Vienna, Austria Megan S. Lim et al. · Molecular Imaging and Biology | 2 May 2019 | 4 |
| 34 | EuroVoc-Based Summarization of European Case Law Florian Schmedding, Peter Klügl, David Baehrens et al. · Lecture notes in computer science | 2018 | 4 |
| 35 | Semantic Retrieval and Navigation in Clinical Document Collections Markus Kreuzthaler, Philipp Daumke, Stefan Schulz · Studies in health technology and informatics | 2015 | 4 |
| 36 | SEMCARE: Multilingual Semantic Search in Semi-Structured Clinical Data. Pablo López-García, Markus Kreuzthaler, Stefan Schulz et al. · PubMed | 2016 | 4 |
| 37 | Risk Assessment of Red Cell Transfusion in Congenital Heart Disease Christoph Zürn, René Höhn, David Hübner et al. · The Thoracic and Cardiovascular Surgeon | 30 Sep 2022 | 3 |
| 38 | ML1 Do Machines Perform Better THAN Humans at Systematic Review of Published Literature? a Case Study of Prostate Cancer Clinical Evidence Ṣẹ̀yẹ Abògúnr̀in, Leandro Marques Queiros, Andreas Witzmann et al. · Value in Health | Dec 2020 | 3 |
| 39 | Intelligent Healthcare Applications Sascha Seifert, Matthias Hammon, Marisa Petri et al. · Cognitive technologies | 2014 | 3 |
| 40 | Model‐Based Prediction of Clinically Relevant Thrombocytopenia after Allogeneic Hematopoietic Stem Cell Transplantation Katharina Martha Götz et al. · Clinical Pharmacology & Therapeutics | 6 Feb 2025 | 2 |
| 41 | KOSonto: An ontology for knowledge organization systems, their constituents, and their referents Jean Noël Nikiema, Fleur Mougin, Vianney Jouhet et al. · HAL (Le Centre pour la Communication Scientifique Directe) | 2023 | 2 |
| 42 | Machine learning approach to identify adverse events in scientific biomedical literature Sonja Wewering, Claudia Pietsch, Marc Sumner et al. · Clinical and Translational Science | 10 Mar 2022 | 2 |
| 43 | Are Machines-learning Methods More Efficient than Humans in Triaging Literature for Systematic Reviews? Ṣẹ̀yẹ Abògúnr̀in, Luisa Queiros, Mateusz Bednarski et al. · bioRxiv (Cold Spring Harbor Laboratory) | 30 Sep 2021 | 2 |
| 44 | Comparing the DebugIT dashboards to national surveillance systems Christel Daniel, Rémy Choquet, A Assele et al. · BMC Proceedings | 29 Jun 2011 | 2 |
| 45 | Semantic Processing of Medical Data Sonja Zillner, Sascha Seifert, Marius Erdt et al. · Cognitive technologies | 2014 | 2 |
| 46 | Incremental Semantic Enrichment of Narrative Content in Electronic Health Records Stefan Schulz, Philipp Daumke, Holger Stenzhorn et al. · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany | 2009 | 2 |
| 47 | Kommunikationsfähigkeit und Interoperabilität von Gesundheitsdaten in einem vernetzten Gesundheitssystem Philipp Daumke, Christian Haverkamp, Simone Heckmann et al. · Health data management | 2024 | 1 |
| 48 | AHD2FHIR: A Tool for Mapping of Natural Language Annotations to Fast Healthcare Interoperability Resources – A Technical Case Report Raphael Scheible, Deniz Çalışkan, Patrick Fischer et al. · Studies in health technology and informatics | 6 Jun 2022 | 1 |
| 49 | POSB317 Machines As a Second Reviewer in Systematic Literature Reviews Leandro Marques Queiros, Andreas Witzmann, Michael D. Sumner et al. · Value in Health | 2022 | 1 |
| 50 | Data-Mining in radiologischen Befundtexten Philipp Daumke, K Simon, Jan Paetzold et al. · RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren | Mar 2010 | 1 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.