Morad Benyoucef

Sociology and Political Science · 2013–2020

A researcher in the Science corpus: 4 papers; trusts 49 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Sociology and Political Science — 69 citations into it; #7,746 of 22,756 by trust here, #5,447 by citations
• Information Systems and Management — 51 citations into it; #1,257 of 3,842 by trust here, #895 by citations
• Organizational Behavior and Human Resource Management — 32 citations into it; #5,909 of 8,741 by trust here, #5,674 by citations
• Marketing — 27 citations into it
• Artificial Intelligence — 13 citations into it; #29,070 of 35,345 by trust here, #34,943 by citations
• Communication — 10 citations into it; #1,716 of 3,460 by trust here, #1,198 by citations
• Strategy and Management — 9 citations into it
• Natural Language Processing — 6 citations into it

Whom Morad Benyoucef trusts overall

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

1. Kristina Heinonen
2. Lauren I. Labrecque
3. Ting-Peng Liang
4. Christy M. K. Cheung
5. Thomas Hofmann
6. Chang Liu
7. Younghwa Lee
8. J. Webster
9. David Robins
10. Nick Hajli

Who trusts Morad Benyoucef overall

1. Longbing Cao
2. M. Sigala
3. Nick Hajli
4. Roman Egger
5. Amal Dabbous

Papers from Morad Benyoucef's perspective

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

1. Latent Dirichlet Allocation
2. Indexing by Latent Semantic Analysis
3. Users of the world, unite! The challenges and opportunities of Social Media
4. Exploring the factors associated with Web site success in the context of electronic commerce (Information Manager (The))
5. Probabilistic Latent Semantic Analysis
6. Unsupervised Learning by Probabilistic Latent Semantic Analysis
7. Deriving Value from Social Commerce Networks
8. Topics over time: a non-Markov continuous-time model of topical trends (Knowledge Discovery and Data Mining)
9. From e-commerce to social commerce: A close look at design features (Electronic Commerce Research and Applications)
10. Analyzing the Past to Prepare for the Future: Writing a Literature Review (MIS Q.)

Their papers

• From e-commerce to social commerce: A close look at design features (2013) — 1,126 citations
• Consumer behavior in social commerce: A literature review (2016) — 611 citations
• Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis (2020) — 337 citations
• Exploring purchase intention in cross-border E-commerce: A three stage model (2019) — 202 citations