ScholarIQanswers from OpenAlex
TU Wien
InstitutionResearch output, impact & collaborations
TU Wien is a institution indexed in ScholarIQ from OpenAlex.
What is known about TU Wien?
ScholarIQrecord summary
TU Wien is a research organisation in Vienna, AT. OpenAlex records 108,095 works and 5,155,693 citations for it. 15,449 researchers list it as their most recent affiliation.
How many works does TU Wien have?
ScholarIQindexed works
TU Wien has 108,095 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does TU Wien have?
ScholarIQcitation count
TU Wien has 5,155,693 citations in the OpenAlex counts ScholarIQ stores.
How many researchers are at TU Wien?
ScholarIQresearcher count
TU Wien has 15,449 researchers in the ScholarIQ index.
What is the average h-index at TU Wien?
ScholarIQavg h-index
TU Wien has an average h-index of 82.4 in OpenAlex.
What is the OpenAlex record for TU Wien?
ScholarIQopenalex
The OpenAlex for TU Wien is on the source record.
What is the Wikidata of TU Wien?
ScholarIQwikidata
The Wikidata for TU Wien is on the source record.
Who are the most-cited researchers behind TU Wien?
ScholarIQtop researchers by citations
What are the most-cited papers on TU Wien?
ScholarIQmost cited works
PriMa: a prescriptive maintenance model for cyber-physical production systems
Fazel Ansari, Robert Glawar, Tanja Nemeth
EAU-ESMO Consensus Statements on the Management of Advanced and Variant Bladder Cancer—An International Collaborative Multistakeholder Effort†
J. Alfred Witjes, Marek Babjuk, Joaquim Bellmunt, H.M. Bruins, Theo M. de Reijke, Maria De Santis, Silke Gillessen, Nicholas D. James, Steven MacLennan, Juan Palou, Tom Powles, María J. Ribal, Shahrokh F. Shariat, Theodorus van der Kwast, Évanguelos Xylinas, Neeraj Agarwal, Tom J.H. Arends, Aristotle Bamias, Alison Birtle, Peter C. Black, Bernard H. Bochner, M. Bolla, Joost L. Boormans, Alberto Bossi, Alberto Briganti, Iris Brummelhuis, Max M. Burger, Daniel Castellano, Richard Cathomas, Arturo Chiti, Ananya Choudhury, Éva Compérat, Simon J. Crabb, Stéphane Culine, Berardino De Bari, Willem de Blok, Pieter De Visschere, Karel Decaestecker, Konstantinos Dimitropoulos, José L. Domínguez-Escrig, Stefano Fanti, Valérie Fonteyne, Mark Frydenberg, Jurgen J. Fütterer, Georgios Gakis, Bogdan Geavlete, Paolo Gontero, Bernhard Grubmüller, S. Hafeez, Donna E. Hansel, Arndt Hartmann, Dickon Hayne, Ann Henry, Virginia Hernández, Harry W. Herr, Ken Herrmann, Peter Hoskin, J. Huguet, Barbara Alicja Jereczek‐Fossa, Rob Jones, Ashish M. Kamat, Vincent Khoo, Anne E. Kiltie, S. Krege, Sylvain Ladoire, Pedro C. Lara, Anna M. Leliveld, Estefanía Linares-Espinós, Vibeke Løgager, Anja Lorch, Yohann Loriot, Richard P. Meijer, Maria Carmen Mir, Marco Moschini, Hugh Mostafid, Arndt‐Christian Müller, Christoph R. Müller, James N’Dow, Andrea Necchi, Y. Neuzillet, Jorg R. Oddens, Jan Oldenburg, Susanne Osanto, Wim J.G. Oyen, Luís Pacheco‐Figueiredo, Helle Pappot, Manish I. Patel, Bradley R. Pieters, Karin Plass, Mesut Remzi, Margitta Retz, Jonathan Richenberg, Michael Rink, Florian Roghmann, Jonathan E. Rosenberg, Morgan Rouprêt, Olivier Rouvière, Carl Salembier, Antti Salminen, Paul Sargos
Sugar release and growth of biofuel crops are improved by downregulation of pectin biosynthesis
Ajaya K. Biswal, Melani A. Atmodjo, Mi Li, Holly L. Baxter, Chang Geun Yoo, Yunqiao Pu, Yi‐Ching Lee, Mitra Mazarei, Ian Black, Ji-Yi Zhang, Hema Ramanna, Adam L. Bray, Zachary R. King, Peter R. LaFayette, Sivakumar Pattathil, Bryon S. Donohoe, Sushree S. Mohanty, David Ryno, Kelsey L. Yee, Olivia Thompson, Miguel Rodríguez, Alexandru Dumitrache, Jace Natzke, Kim Winkeler, Cassandra Collins, Xiaohan Yang, Li Tan, Robert W. Sykes, Erica Gjersing, Angela Ziebell, Geoffrey B. Turner, Stephen R. Decker, Michael G. Hahn, Brian H. Davison, Michael K. Udvardi, Jonathan R. Mielenz, Mark F. Davis, Richard S. Nelson, Wayne A. Parrott, Arthur J. Ragauskas, C. Neal Stewart, Debra Mohnen
Rethinking Human-Machine Learning in Industry 4.0: How Does the Paradigm Shift Treat the Role of Human Learning?
Fazel Ansari, Selim Erol, Wilfried Sihn
Lead time prediction using machine learning algorithms: A case study by a semiconductor manufacturer
Lukas Lingitz, Viola Gallina, Fazel Ansari, Dávid Gyulai, András Pfeiffer, Wilfried Sihn, László Monostori
How much of the research on TU Wien is open access?
ScholarIQopen access share
83%OPEN ACCESS