Kathleen M. Carley
Statistical and Nonlinear Physics · 1992–2019
A researcher in the Science corpus: 18 papers; trusts 157 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 101 citations into it; #1,576 of 10,127 by trust here, #906 by citations
- Sociology and Political Science — 96 citations into it; #8,633 of 22,756 by trust here, #7,374 by citations
- Artificial Intelligence — 78 citations into it; #33,127 of 35,345 by trust here, #17,776 by citations
- Information Systems — 65 citations into it; #3,136 of 8,771 by trust here, #1,158 by citations
- Communication — 47 citations into it; #1,270 of 3,460 by trust here, #682 by citations
- Information Systems and Management — 41 citations into it
- Natural Language Processing — 32 citations into it
- Computer Science Applications — 30 citations into it
Whom Kathleen M. Carley trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Mark Newman
- Geoffrey E. Hinton
- Duyu Tang
- Yoshua Bengio
- Duncan J. Watts
- Richard Socher
- Christopher D. Manning
- Ilya Sutskever
- Alex Krizhevsky
Who trusts Kathleen M. Carley overall
- Steve W. J. Kozlowski
- Sucheta Nadkarni
- Mikko Kivelä
- Uygar Özesmi
- Susan Mohammed
- Carter T. Butts
- David M. J. Lazer
- Robert R. Hoffman
- Stephen P. Borgatti
- Alex Arenas
Papers from Kathleen M. Carley's perspective
Ordered by how strongly the researchers Kathleen M. Carley trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Individual Centrality and Performance in Virtual R&D Groups: An Empirical Study (2003) — 545 citations
- Simulation modeling in organizational and management research (2007) — 665 citations
- On the robustness of centrality measures under conditions of imperfect data (2006) — 809 citations
- Misinformation in Social Media: Definition, Manipulation, and Detection (2019) — 410 citations
- Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks (2019) — 300 citations
- Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks (2018) — 359 citations
- Two 1%s Don't Make a Whole: Comparing Simultaneous Samples from Twitter's Streaming API (2014) — 62 citations
- Understanding online firestorms: Negative word-of-mouth dynamics in social media networks (2014) — 517 citations
- Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose (2013) — 1,032 citations
- Beyond "local", "categories" and "friends": clustering foursquare users with latent "topics" (2012) — 85 citations
- Impact of license choice on Open Source Software development activity (2009) — 387 citations
- Patterns and dynamics of users' behavior and interaction: Network analysis of an online community (2009) — 346 citations
- Socio-technical congruence: a framework for assessing the impact of technical and work dependencies on software development productivity (2008) — 377 citations
- Identification of coordination requirements: implications for the Design of collaboration and awareness tools (2006) — 482 citations
- Communication Networks from the Enron Email Corpus “It's Always About the People. Enron is no Different” (2005) — 306 citations
- Dynamic Social Network Modeling and Analysis: Workshop Summary and Papers (2004) — 473 citations
- Dynamic Network Analysis (2003) — 315 citations
- Extracting, Representing, and Analyzing Mental Models (1992)