Most cited papers from Know Center Research GmbH (Austria)
What are the most cited papers from Know Center Research GmbH (Austria)?
The most cited paper from Know Center Research GmbH (Austria) is "Sequence classification for credit-card fraud detection" (Johannes Jurgovsky, Michael Granitzer, Konstantin Ziegler et al., 2018), with 513 citations. Next come "The limitations to our understanding of peer review" (376) and "Survey on open peer review: Attitudes and experience amongst editors, authors and reviewers" (251).
Showing 50 of 60 papers. Every paper with more than 64 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Sequence classification for credit-card fraud detection Johannes Jurgovsky, Michael Granitzer, Konstantin Ziegler et al. · Expert Systems with Applications | 31 Jan 2018 | 513 |
| 2 | The limitations to our understanding of peer review Jonathan Peter Tennant, Tony Ross‐Hellauer · Research Integrity and Peer Review | 29 Apr 2020 | 376 |
| 3 | Survey on open peer review: Attitudes and experience amongst editors, authors and reviewers Tony Ross‐Hellauer, Arvid Deppe, Birgit Schmidt · PLoS ONE | 13 Dec 2017 | 251 |
| 4 | The Web 2.0 way of learning with technologies Herwig Rollett, Mathias Lux, Markus Strohmaier et al. · International Journal of Learning Technology | 2007 | 204 |
| 5 | Shareholder Taxes in Acquisition Premiums: The Effect of Capital Gains Taxation Benjamin C. Ayers, Craig E. Lefanowicz, John R. C. Robinson · The Journal of Finance | 7 Nov 2003 | 202 |
| 6 | Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle Rana Ali Amjad, Bernhard Claus Geiger · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2 Apr 2019 | 201 |
| 7 | Ten simple rules for innovative dissemination of research Tony Ross‐Hellauer, Jonathan Peter Tennant, Viltė Banelytė et al. · PLoS Computational Biology | 16 Apr 2020 | 193 |
| 8 | Online Control of a Brain-Computer Interface Using Phase Synchronization Clemens Brunner, Reinhold Scherer, B. Graimann et al. · IEEE Transactions on Biomedical Engineering | Dec 2006 | 173 |
| 9 | Research data explored: an extended analysis of citations and altmetrics Isabella Peters, Peter Kraker, Elisabeth Lex et al. · Scientometrics | 15 Feb 2016 | 163 |
| 10 | Investigating the Healthiness of Internet-Sourced Recipes Christoph Trattner, David Elsweiler | 3 Apr 2017 | 160 |
| 11 | The future of General Movement Assessment: The role of computer vision and machine learning – A scoping review Nelson Silva, Dajie Zhang, Tomas Kulvičius et al. · Research in Developmental Disabilities | 9 Feb 2021 | 147 |
| 12 | Dynamics of cumulative advantage and threats to equity in open science: a scoping review Tony Ross‐Hellauer, Stefan Reichmann, Nicki Lisa Cole et al. · Royal Society Open Science | 2022 | 144 |
| 13 | PySpark and RDKit: Moving towards Big Data in Cheminformatics Mario Lovrić, José Manuel Molero, Roman Kern · Molecular Informatics | 7 Mar 2019 | 140 |
| 14 | Ten Hot Topics around Scholarly Publishing Jonathan Peter Tennant, Harry G. Crane, Tom Crick et al. · Publications | 13 May 2019 | 138 |
| 15 | Reconciling digital transformation and knowledge protection: a research agenda Ilona Ilvonen, Stefan Thalmann, Markus Manhart et al. · Knowledge Management Research & Practice | 13 Mar 2018 | 133 |
| 16 | The InfoSky visual explorer: Exploiting Hierarchical Structure and Document Similarities Keith Andrews, Wolfgang Kienreich, Vedran Sabol et al. · Information Visualization | Dec 2002 | 125 |
| 17 | On the Beauty and Usability of Tag Clouds Christin Seifert, Barbara Kump, Wolfgang Kienreich et al. | Jul 2008 | 124 |
| 18 | Combining BPM and social software: contradiction or chance? Selim Erol, Michael Granitzer, Simone Happ et al. · Journal of Software Maintenance and Evolution Research and Practice | 29 Apr 2010 | 116 |
| 19 | An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics Francesco Conti, Robert Schilling, Pasquale Davide Schiavone et al. · IEEE Transactions on Circuits and Systems I Regular Papers | 15 May 2017 | 115 |
| 20 | Machine learning in continuous casting of steel: a state-of-the-art survey David Cemernek, Sandra Cemernek, Heimo Gursch et al. · Journal of Intelligent Manufacturing | 19 Mar 2021 | 111 |
| 21 | Finding traces of self-regulated learning in activity streams Analía Cicchinelli, Eduardo Enrique Veas, Abelardo Pardo et al. | 7 Mar 2018 | 111 |
| 22 | An Individual-Based Evolving Predator-Prey Ecosystem Simulation Using a Fuzzy Cognitive Map as the Behavior Model Robin Gras, Didier Devaurs, Adrianna Wozniak et al. · Artificial Life | 22 May 2009 | 106 |
| 23 | Emergence of Dynamic Memory Traces in Cortical Microcircuit Models through STDP Stefan Klampfl, Wolfgang Maass · Journal of Neuroscience | 10 Jul 2013 | 106 |
| 24 | An unsupervised aspect extraction strategy for monitoring real-time reviews stream Mauro Dragoni, Marco Federici, Andi Rexha · Information Processing & Management | 10 May 2018 | 100 |
| 25 | Guidelines for open peer review implementation Tony Ross‐Hellauer, Edit Görögh · Research Integrity and Peer Review | 27 Feb 2019 | 95 |
| 26 | Understanding the true effects of the COVID-19 lockdown on air pollution by means of machine learning Mario Lovrić, Kristina Pavlović, Matej Vuković et al. · Environmental Pollution | 5 Nov 2020 | 94 |
| 27 | Feistel Structures for MPC, and More M. Albrecht, Lorenzo Grassi, Léo Perrin et al. · Lecture notes in computer science | 2019 | 93 |
| 28 | Accelerating K-Means on the Graphics Processor via CUDA Mario Zechner, Michael Granitzer | Apr 2009 | 92 |
| 29 | It's Not in Their Tweets: Modeling Topical Expertise of Twitter Users Claudia M. Wagner, Vera Liao, Peter L. T. Pirolli et al. | Sep 2012 | 88 |
| 30 | Reflection as a catalyst for organisational learning Kristin Knipfer, Barbara Kump, Daniel Wessel et al. · Studies in Continuing Education | 15 Jun 2012 | 87 |
| 31 | Exploring Appropriation of Enterprise Wikis: Alexander Stocker, Alexander Richter, Patrick Hoefler et al. · Computer Supported Cooperative Work (CSCW) | 7 Mar 2012 | 85 |
| 32 | External and Intrinsic Plagiarism Detection Using Vector Space Models Markus Muhr, Mario Zechner, Roman Kern et al. | 2009 | 82 |
| 33 | Ten considerations for open peer review Birgit Schmidt, Tony Ross‐Hellauer, Xenia van Edig et al. · F1000Research | 29 Jun 2018 | 81 |
| 34 | Identifying Employee Competencies in Dynamic Work Domains: Methodological Considerations and a Case Study Tobias Ley, Dietrich Albert | 2003 | 79 |
| 35 | Twitter in academic events: A study of temporal usage, communication, sentimental and topical patterns in 16 Computer Science conferences Denis Parra, Christoph Trattner, Diego Gómez et al. · Computer Communications | 11 Jul 2015 | 79 |
| 36 | Creating New Learning Experiences on a Global Scale Kooken, J.P., Duval, Erik, Tobias Ley et al. · Lecture notes in computer science | 2007 | 77 |
| 37 | On a Generalization of Substitution-Permutation Networks: The HADES Design Strategy Lorenzo Grassi, Reinhard Lüftenegger, Christian Rechberger et al. · Lecture notes in computer science | 2020 | 75 |
| 38 | Issues and considerations regarding sharable data sets for recommender systems in technology enhanced learning Hendrik Drachsler, Toine Bogers, Riina Vuorikari et al. · Procedia Computer Science | 2010 | 75 |
| 39 | Modeling competencies for supporting work‐integrated learning in knowledge work Tobias Ley, Armin Ulbrich, Peter Scheir et al. · Journal of Knowledge Management | 11 Oct 2008 | 75 |
| 40 | Applying machine learning methods to better understand, model and estimate mass concentrations of traffic-related pollutants at a typical street canyon Iva Šimić, Mario Lovrić, Ranka Godec et al. · Environmental Pollution | 17 Apr 2020 | 74 |
| 41 | The Linked Data Value Chain: A Lightweight Model for Business Engineers Atif Latif, Anwar Us Saeed, Patrick Höfler et al. | 2009 | 74 |
| 42 | What does clean EEG look like? Ian P. Daly, Floriana Pichiorri, Josef Faller et al. | Aug 2012 | 74 |
| 43 | The Circular Sprint: Circular business model innovation through design thinking Tomas Santa‐Maria, Walter J.V. Vermeulen, Rupert J. Baumgartner · Journal of Cleaner Production | 20 May 2022 | 73 |
| 44 | Ontology Alignment—A Survey with Focus on Visually Supported Semi-Automatic Techniques Michael Granitzer, Vedran Sabol, Kow Weng Onn et al. · Future Internet | 4 Aug 2010 | 73 |
| 45 | Comparison of downloads, citations and readership data for two information systems journals Christian Schlögl, Juan Ignacio Gorraiz, Christian Gumpenberger et al. · Scientometrics | 16 Jul 2014 | 73 |
| 46 | Social stream marketing on Facebook: a case study Christoph Trattner, Frank Kappe · International Journal of Social and Humanistic Computing | 2013 | 72 |
| 47 | How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing Samuel Sousa, Roman Kern · Artificial Intelligence Review | 21 May 2022 | 70 |
| 48 | Reproducibility in machine‐learning‐based research: Overview, barriers, and drivers Harald Semmelrock, Tony Ross‐Hellauer, Simone Kopeinik et al. · AI Magazine | 14 Apr 2025 | 68 |
| 49 | ConTExT: A Generic Approach for Mitigating Spectre Michael Schwarz, Moritz Lipp, Claudio Canella et al. | 2020 | 68 |
| 50 | Molecular Profiling of Phagocytic Immune Cells in Anopheles gambiae Reveals Integral Roles for Hemocytes in Mosquito Innate Immunity Ryan C. Smith, Jonas G. King, Dingyin Tao et al. · Molecular & Cellular Proteomics | 13 Sep 2016 | 68 |
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.