ScholarIQanswers from OpenAlex
Qualcomm (United Kingdom)
InstitutionResearch output, impact & collaborations
Qualcomm (United Kingdom) is a institution indexed in ScholarIQ from OpenAlex.
What is known about Qualcomm (United Kingdom)?
ScholarIQrecord summary
Qualcomm (United Kingdom) is a research organisation in Farnborough, GB. OpenAlex records 3,641 works and 195,458 citations for it. 1,369 researchers list it as their most recent affiliation.
How many works does Qualcomm (United Kingdom) have?
ScholarIQindexed works
Qualcomm (United Kingdom) has 3,641 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Qualcomm (United Kingdom) have?
ScholarIQcitation count
Qualcomm (United Kingdom) has 195,458 citations in the OpenAlex counts ScholarIQ stores.
How many researchers are at Qualcomm (United Kingdom)?
ScholarIQresearcher count
Qualcomm (United Kingdom) has 1,369 researchers in the ScholarIQ index.
What is the average h-index at Qualcomm (United Kingdom)?
ScholarIQavg h-index
Qualcomm (United Kingdom) has an average h-index of 52 in OpenAlex.
What is the ROR of Qualcomm (United Kingdom)?
ScholarIQror
The ROR for Qualcomm (United Kingdom) is on the source record.
What is the OpenAlex record for Qualcomm (United Kingdom)?
ScholarIQopenalex
The OpenAlex for Qualcomm (United Kingdom) is on the source record.
What is the Wikidata of Qualcomm (United Kingdom)?
ScholarIQwikidata
The Wikidata for Qualcomm (United Kingdom) is on the source record.
Who are the most-cited researchers behind Qualcomm (United Kingdom)?
ScholarIQtop researchers by citations
What are the most-cited papers on Qualcomm (United Kingdom)?
ScholarIQmost cited works
The Visual Object Tracking VOT2016 Challenge Results
Matej Kristan, Aleš Leonardis, Jiřı́ Matas, Michael Felsberg, Roman Pflugfelder, Luka Čehovin, Tomáš Vojíř, G Hager, Alan Lukežič, Gustavo J. Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García‐Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, J. Andy, Anton Varfolomieiev, Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit‐Yan Yeung, Erhan Gündoğdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae‐chan Jeong, Jae-il Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondřej Mikšík, Osman Akın, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
Péter Bándi, Oscar Geessink, Quirine F. Manson, Marcory van Dijk, Maschenka Balkenhol, Meyke Hermsen, Babak Ehteshami Bejnordi, Byungjae Lee, Kyunghyun Paeng, Aoxiao Zhong, Quanzheng Li, Farhad Ghazvinian Zanjani, Svitlana Zinger, Keisuke Fukuta, Daisuke Komura, Vlado Ovtcharov, Shenghua Cheng, Shaoqun Zeng, Jeppe Thagaard, Anders Bjorholm Dahl, Huangjing Lin, Hao Chen, Ludwig Jacobsson, Martin Hedlund, Melih cetin, Eren Halici, Hunter Jackson, Richard J. Chen, Fabian Both, Jörg Franke, Heidi V.N. Küsters‐Vandevelde, Willem Vreuls, Peter Bult, Bram van Ginneken, Jeroen van der Laak, Geert Litjens
Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies
Babak Ehteshami Bejnordi, Maeve Mullooly, Ruth M. Pfeiffer, Shaoqi Fan, Pamela M. Vacek, Donald L. Weaver, Sally D. Herschorn, Louise A. Brinton, Bram van Ginneken, Nico Karssemeijer, Andrew H. Beck, Gretchen L. Gierach, Jeroen van der Laak, Mark E. Sherman
How much of the research on Qualcomm (United Kingdom) is open access?
ScholarIQopen access share
100%OPEN ACCESS