George Siemens

Education · 2004–2022

A researcher in the Science corpus: 12 papers; trusts 18 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Education — 37 citations into it; #5,369 of 11,309 by trust here, #5,377 by citations
• Computer Science Applications — 30 citations into it; #354 of 1,855 by trust here, #354 by citations
• Developmental and Educational Psychology — 30 citations into it; #6,715 of 8,223 by trust here, #6,892 by citations
• Sociology and Political Science — 21 citations into it; #14,163 of 22,756 by trust here, #14,364 by citations
• Information Systems — 13 citations into it; #3,496 of 8,771 by trust here, #4,682 by citations
• Experimental and Cognitive Psychology — 12 citations into it
• Social Psychology — 11 citations into it
• Statistical and Nonlinear Physics — 6 citations into it; #8,172 of 10,127 by trust here, #7,024 by citations

Whom George Siemens trusts overall

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

1. John Seely Brown
2. T. Landauer
3. Mark Newman
4. Erik Duval
5. Ryan Shaun Joazeiro de Baker
6. Shane Dawson
7. Linton C. Freeman
8. Leah P. Macfadyen
9. Cristóbal Romero
10. Susan T. Dumais

Who trusts George Siemens overall

1. Gráinne Conole
2. Cristóbal Romero
3. Stephen Downes
4. C. Kivunja
5. Dragan Gasevic
6. Paula de Barba
7. Cecilia Ka Yuk Chan
8. Sebastián Ventura
9. Khe Foon Timothy Hew
10. Fatimah A. Al-Kathiri

Papers from George Siemens's perspective

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

1. Educational Data Mining: A Review of the State of the Art (IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews))
2. Course signals at Purdue: using learning analytics to increase student success (International Conference on Learning Analytics and Knowledge)
3. Centrality in social networks conceptual clarification
4. Fast unfolding of communities in large networks
5. Requirements engineering paper classification and evaluation criteria: a proposal and a discussion (Requirements Engineering)
6. Gephi: An Open Source Software for Exploring and Manipulating Networks
7. Performing systematic literature reviews in software engineering (International Conference on Software Engineering)
8. Citation indexes for science; a new dimension in documentation through association of ideas. (Science)
9. Systematic Mapping Studies in Software Engineering (International Conference on Evaluation & Assessment in Software Engineering)
10. Big data: The next frontier for innovation, competition, and productivity

Their papers

• Ethical and privacy principles for learning analytics (2014) — 513 citations
• Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI? (2022) — 300 citations
• Let’s not forget: Learning analytics are about learning (2014) — 927 citations
• Where is research on massive open online courses headed? A data analysis of the MOOC research initiative (2014) — 329 citations
• Current state and future trends: a citation network analysis of the learning analytics field (2014) — 358 citations
• Guest Editorial - Learning and Knowledge Analytics (2012) — 302 citations
• Learning analytics and educational data mining: towards communication and collaboration (2012) — 1,124 citations
• Learning analytics: envisioning a research discipline and a domain of practice (2012) — 448 citations
• The MOOC model for digital practice (2010) — 896 citations
• Handbook of Emerging Technologies for Learning (2009) — 317 citations
• Connectivism: Learning Theory or Pastime of the Self-Amused? (2006) — 411 citations
• Connectivism: A Learning Theory for the Digital Age (2004) — 5,488 citations