John S. Liu

Management Science and Operations Research · 2012–2013

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 53 citations into it; #6,489 of 11,946 by trust here, #2,539 by citations
• Economics and Econometrics — 35 citations into it; #15,383 of 23,481 by trust here, #12,103 by citations
• Statistics and Probability — 19 citations into it
• Strategy and Management — 16 citations into it
• Finance — 10 citations into it
• Management Information Systems — 6 citations into it

Whom John S. Liu trusts overall

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

1. Bart Verspagen
2. Jorge E. Hirsch
3. Joe Zhu
4. Kaoru Tone
5. Leo Egghe
6. Wade D. Cook
7. Lutz Bornmann
8. Necmi Kemal Avkiran
9. Léopold Simar
10. Harold O. Fried

Who trusts John S. Liu overall

1. Hannes W. Lampe
2. Dennis Hilgers
3. Kristof De Witte
4. José M. Merigó
5. Wen‐Min Lu
6. Laura López-Torres
7. Louis Y. Y. Lu
8. Chiang Kao
9. Martin Branda

Papers from John S. Liu's perspective

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

1. Dynamic DEA: A slacks-based measure approach
2. Additive efficiency decomposition in two-stage DEA (European Journal of Operational Research)
3. Negative data in DEA: a directional distance approach applied to bank branches (Journal of the Operational Research Society)
4. Network DEA: efficiency analysis of organizations with complex internal structure (Computers & Operations Research)
5. An index to quantify an individual's scientific research output (Proc. Natl. Acad. Sci. USA)
6. Network DEA: A slacks-based measure approach (European Journal of Operational Research)
7. Estimation and inference in two-stage, semi-parametric models of production processes
8. Does the h index have predictive power? (Proceedings of the National Academy of Sciences of the United States of America)
9. Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis (Operational Research)
10. Imprecise data envelopment analysis (IDEA): A review and improvement with an application (European Journal of Operational Research)

Their papers

• Data envelopment analysis 1978-2010: A citation-based literature survey (2013) — 564 citations
• A survey of DEA applications (2013) — 746 citations
• An integrated approach for main path analysis: Development of the Hirsch index as an example (2012) — 332 citations