Most cited papers in Knowledge Management and Technology
What are the most cited papers in Knowledge Management and Technology?
The most cited paper in Knowledge Management and Technology is "Machine learning and deep learning" (Christian Janiesch, Patrick Zschech, Kai Heinrich, 2021), with 2,634 citations. Next come "The wisdom hierarchy: representations of the DIKW hierarchy" (1,811) and "From computing with numbers to computing with words. From manipulation of measurements to manipulation of perceptions" (1,044).
Showing 50 of 102 papers. Every paper with more than 66 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Machine learning and deep learning Christian Janiesch, Patrick Zschech, Kai Heinrich · Electronic Markets | 8 Apr 2021 | 2,634 |
| 2 | The wisdom hierarchy: representations of the DIKW hierarchy Jennifer Rowley · Journal of Information Science | 15 Feb 2007 | 1,811 |
| 3 | From computing with numbers to computing with words. From manipulation of measurements to manipulation of perceptions L. A. ZADEH · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications | 1999 | 1,044 |
| 4 | The Social Life of Information John M. Silvester · The Internet and Higher Education | Jul 2000 | 674 |
| 5 | Autonomous Mental Development by Robots and Animals Juyang Weng, James L. McClelland, Alex Pentland et al. · Science | 26 Jan 2001 | 651 |
| 6 | Rigor and Relevance in MIS Research: Beyond the Approach of Positivism Alone Allen S. Lee · MIS Quarterly | Mar 1999 | 582 |
| 7 | Potentials of Blockchain Technology for Construction Management Žiga Turk, Robert Klinc · Procedia Engineering | 2017 | 458 |
| 8 | Knowledge value chain Ching Chyi Lee, Jie Yang · Journal of Management Development | Nov 2000 | 454 |
| 9 | The semiconducting principle of monetary and environmental values exchange Quan‐Hoang Vuong · Economics and Business Letters | 2 Aug 2021 | 449 |
| 10 | The knowledge pyramid: a critique of the DIKW hierarchy Martin H. Frické · Journal of Information Science | 23 Oct 2008 | 399 |
| 11 | The outlook of blockchain technology for construction engineering management Jun Wang, Peng Wu, Xiangyu Wang et al. · Frontiers of Engineering Management | 2017 | 366 |
| 12 | Viewpoint: Human-in-the-loop Artificial Intelligence Fabio Massimo Zanzotto · Journal of Artificial Intelligence Research | 10 Feb 2019 | 365 |
| 13 | The Role of Knowledge in Disaster Risk Reduction Juergen Weichselgartner, Patrick Pigeon · International Journal of Disaster Risk Science | Jun 2015 | 311 |
| 14 | A survey of data fusion in smart city applications Billy Pik Lik Lau, Sumudu Hasala Marakkalage, Yuren Zhou et al. · Information Fusion | 13 May 2019 | 279 |
| 15 | Construction accident narrative classification: An evaluation of text mining techniques Yang Miang Goh, Chalani Udhyami Ubeynarayana · Accident Analysis & Prevention | Sep 2017 | 270 |
| 16 | Integrated project delivery with blockchain: An automated financial system Faris Elghaish, Sepehr Abrishami, M. Reza Hosseini · Automation in Construction | 18 Mar 2020 | 268 |
| 17 | Science, Technology, and Human Values Virgil G. Hinshaw · The Journal of Higher Education | Apr 1966 | 250 |
| 18 | Big Data in Cyber-Physical Systems, Digital Manufacturing and Industry 4.0 Wang Lidong, Guanghui Wang · International Journal of Engineering and Manufacturing | 6 Jul 2016 | 239 |
| 19 | Text mining-based construction site accident classification using hybrid supervised machine learning Min‐Yuan Cheng, Denny Kusoemo, Richard Antoni Gosno · Automation in Construction | 26 May 2020 | 217 |
| 20 | Knowledge management: An information science perspective Gashaw Kebede · International Journal of Information Management | 10 Apr 2010 | 215 |
| 21 | On the meaning of a black swan in a risk context Terje Aven · Safety Science | 24 Feb 2013 | 211 |
| 22 | MEASURES OF THE VALUE OF INFORMATION John F. McCarthy · Proceedings of the National Academy of Sciences | Sep 1956 | 204 |
| 23 | An introduction to the information age Manuel Castells · City | May 1997 | 197 |
| 24 | Coming across information serendipitously – Part 1 Stephann Makri, ANN E. BLANDFORD · Journal of Documentation | 22 Aug 2012 | 195 |
| 25 | Information technologies and disaster management – Benefits and issues - Mihoko Sakurai, Yuko Murayama · Progress in Disaster Science | 15 May 2019 | 191 |
| 26 | Knowledge management practices in disaster management: Systematic review Rina Suryani Oktari, Khairul Munadi, Rinaldi Idroes et al. · International Journal of Disaster Risk Reduction | 22 Sep 2020 | 188 |
| 27 | Big data and data science: what should we teach? Il‐Yeol Song, Yongjun Zhu · Expert Systems | 9 Oct 2015 | 185 |
| 28 | A new system for weighting environmental criteria for use within ELECTRE III Martin G. Rogers, Michael Bruen · European Journal of Operational Research | Jun 1998 | 176 |
| 29 | On concepts and methods in horizon scanning: Lessons from initiating policy dialogues on emerging issues Effie Amanatidou, M. Butter, Vicente Carabias-Hütter et al. · Science and Public Policy | Mar 2012 | 167 |
| 30 | Development of a priority list of chemical mixtures occurring at 1188 hazardous waste sites, using the hazdat database R.M. Fay, Moiz M. Mumtaz · Food and Chemical Toxicology | Nov 1996 | 158 |
| 31 | Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality Fabrizio Dell’Acqua, Edward McFowland, Ethan Mollick et al. · Organization Science | Mar 2026 | 153 |
| 32 | The Incident Command System: High-Reliability Organizing for Complex and Volatile Task Environments Gregory A. Bigley, Karlene H. Roberts · Academy of Management Journal | Dec 2001 | 151 |
| 33 | Hazard analysis: A deep learning and text mining framework for accident prevention Botao Zhong, Xing Pan, Peter E.D. Love et al. · Advanced Engineering Informatics | 2 Sep 2020 | 150 |
| 34 | EM-DAT: the Emergency Events Database Damien Delforge, Valentin Wathelet, Regina Below et al. · Research Square | 27 Dec 2023 | 148 |
| 35 | An overview on disasters Ibrahim Mohamed Shaluf · Disaster Prevention and Management An International Journal | 13 Nov 2007 | 146 |
| 36 | A systematic review of natural language processing for classification tasks in the field of incident reporting and adverse event analysis Ian James Bruce Young, Saturnino F. Luz, Nazir Lone · International Journal of Medical Informatics | 5 Oct 2019 | 143 |
| 37 | Application of Integrated Building Information Modeling, IoT and Blockchain Technologies in System Design of a Smart Building Izabella V. Lokshina, Michal Greguš, Wade L. Thomas · Procedia Computer Science | 2019 | 136 |
| 38 | Data, Information, Knowledge, Wisdom (DIKW): A Semiotic Theoretical and Empirical Exploration of the Hierarchy and its Quality Dimension Saša Baškarada, Andy Koronios · AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems | Nov 2013 | 136 |
| 39 | The Human Factor: Revolutionizing the Way People Live with Technology Chris Ham · BMJ | 25 Nov 2004 | 135 |
| 40 | Knowledge management systems in support of disasters management: A two decade review Magiswary Dorasamy, Murali Raman, Maniam Kaliannan · Technological Forecasting and Social Change | 26 Jan 2013 | 135 |
| 41 | A model of knowledge acquisition that refocuses knowledge management John Van Beveren · Journal of Knowledge Management | Mar 2002 | 134 |
| 42 | Impact of misinformation from generative AI on user information processing: How people understand misinformation from generative AI Donghee Shin, Amy Koerber, Joon Soo Lim · New Media & Society | 20 Mar 2024 | 132 |
| 43 | Oil Spillage and Heavy Metals Toxicity Risk in the Niger Delta, Nigeria Enegide Chinedu, Chukwuma Kelechukwu Chukwuemeka · Journal of Health and Pollution | 21 Aug 2018 | 128 |
| 44 | A Hybrid Analytic Network Process and Artificial Neural Network (ANP-ANN) Model for Urban Earthquake Vulnerability Assessment Mohsen Alizadeh, Ibrahim Ngah, Mazlan Hashim et al. · Remote Sensing | 19 Jun 2018 | 127 |
| 45 | What is safety science? Terje Aven · Safety Science | 19 Aug 2013 | 126 |
| 46 | What we talk about when we talk about (big) data Matthew Jones · The Journal of Strategic Information Systems | 30 Nov 2018 | 124 |
| 47 | A Semantic IoT Early Warning System for Natural Environment Crisis Management Stefan Poslad, Stuart E. Middleton, Fernando de Castro Chaves et al. · IEEE Transactions on Emerging Topics in Computing | 18 May 2015 | 121 |
| 48 | Evaluating Risk Communications: Completing and Correcting Mental Models of Hazardous Processes, Part II Ann Bostrom, Cynthia J. Atman, Baruch Fischhoff et al. · Risk Analysis | Oct 1994 | 109 |
| 49 | A small samples training framework for deep Learning-based automatic information extraction: Case study of construction accident news reports analysis Dan Feng, Hainan Chen · Advanced Engineering Informatics | 2021 | 109 |
| 50 | Spacecraft observations of electromagnetic perturbations connected with seismic activity František Nĕmec, Ondřej Santolík, Michel Parrot et al. · Geophysical Research Letters | Mar 2008 | 107 |
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 a field when OpenAlex files it under one of the field's topics; 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.