Per Ola Kristensson
Marketing · 2002–2018
A researcher in the Science corpus: 12 papers; trusts 72 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Marketing — 53 citations into it; #5,332 of 6,289 by trust here, #2,002 by citations
- Artificial Intelligence — 39 citations into it; #24,860 of 35,345 by trust here, #33,294 by citations
- Strategy and Management — 34 citations into it
- Organizational Behavior and Human Resource Management — 25 citations into it
- Human-Computer Interaction — 20 citations into it; #382 of 2,253 by trust here, #1,386 by citations
- Natural Language Processing — 19 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it; #13,182 of 21,575 by trust here, #17,258 by citations
- Computer Science Applications — 15 citations into it; #788 of 1,855 by trust here, #686 by citations
Whom Per Ola Kristensson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- I. Mackenzie
- Geoffrey E. Hinton
- Shumin Zhai
- Kathleen M. Eisenhardt
- L. V. D. van der Maaten
- Diederik P. Kingma
- Yoshua Bengio
- Rejean Plamondon
- Ilya Sutskever
- M. Scheier
Who trusts Per Ola Kristensson overall
- Jacob O. Wobbrock
- Shaon Ghosh
- Marion K. Poetz
- Lars Witell
- Andrew D. Wilson
- Martin Schreier
- Ouais Alsharif
- Yang Li
- Fedor Kitashov
- Shaun K. Kane
Papers from Per Ola Kristensson's perspective
Ordered by how strongly the researchers Per Ola Kristensson trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Harnessing the Creative Potential among Users (2004) — 535 citations
- Idea generation: customer co‐creation versus traditional market research techniques (2011) — 342 citations
- A Review of User Interface Design for Interactive Machine Learning (2018) — 377 citations
- Neural Networks for Text Correction and Completion in Keyboard Decoding (2017) — 76 citations
- Defining service innovation: A review and synthesis (2016) — 375 citations
- Identifying categories of service innovation: A review and synthesis of the literature (2016) — 355 citations
- An evaluation of Dasher with a high-performance language model as a gaze communication method (2014) — 35 citations
- Let the music play...or not: the influence of background music on consumer behaviour (2012) — 138 citations
- Key strategies for the successful involvement of customers in the co‐creation of new technology‐based services (2008) — 529 citations
- SHARK2: a large vocabulary shorthand writing system for pen-based computers (2004) — 364 citations
- Shorthand writing on stylus keyboard (2003) — 317 citations
- Users as a hidden resource for creativity. Findings from an experimental study on user involvement (2002) — 180 citations