Scott Counts

Statistical and Nonlinear Physics · 2010–2016

A researcher in the Science corpus: 12 papers; trusts 33 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 38 citations into it; #2,637 of 10,127 by trust here, #3,735 by citations
• Sociology and Political Science — 32 citations into it; #8,512 of 22,756 by trust here, #7,374 by citations
• Social Psychology — 30 citations into it; #1,030 of 15,694 by trust here, #1,518 by citations
• Communication — 27 citations into it; #915 of 3,460 by trust here, #833 by citations
• Artificial Intelligence — 25 citations into it; #16,543 of 35,345 by trust here, #21,878 by citations
• Information Systems — 19 citations into it
• Health — 14 citations into it; #1,614 of 2,035 by trust here, #1,895 by citations
• Epidemiology — 11 citations into it

Whom Scott Counts trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. M. de Choudhury
2. Muthu Dayalan
3. Scott A. Golder
4. Eric R. Ziegel
5. Michael J. Paul
6. Aditya Pal
7. David M. Blei
8. Cheryl Tatano Beck
9. Jon M. Kleinberg
10. Eugene Agichtein

Who trusts Scott Counts overall

1. Glen A. Coppersmith
2. Alexandra Olteanu
3. Nazanin Andalibi
4. M. de Choudhury
5. Mark Dredze
6. Rafael A. Calvo
7. Rediet Abebe
8. Stefan Stieglitz
9. Emre Kıcıman
10. Andrew G. Reece

Papers from Scott Counts's perspective

Ordered by how strongly the researchers Scott Counts trusts endorse each paper. Same corpus, a different order for every researcher.

1. Latent Dirichlet Allocation
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Authoritative sources in a hyperlinked environment
4. Long Short-Term Memory
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. ImageNet classification with deep convolutional neural networks
7. What is Twitter, a social network or a news media?
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Predicting Depression via Social Media (2013) — 1,877 citations
• Predicting postpartum changes in emotion and behavior via social media (2013) — 457 citations
• Tweeting is believing?: understanding microblog credibility perceptions (2012) — 510 citations
• Social media as a measurement tool of depression in populations (2013) — 546 citations
• Major life changes and behavioral markers in social media: case of childbirth (2013) — 123 citations
• Characterizing and predicting postpartum depression from shared facebook data (2014) — 378 citations
• The psychology of job loss: using social media data to characterize and predict unemployment (2016) — 27 citations
• What's in a @name? How Name Value Biases Judgment of Microblog Authors (2011) — 31 citations
• Computational social science: CSCW in the social media era (2014) — 20 citations
• Discussion Graphs: Putting Social Media Analysis in Context (2014) — 7 citations
• Identifying topical authorities in microblogs (2011) — 393 citations
• Predicting the Speed, Scale, and Range of Information Diffusion in Twitter (2010) — 472 citations