M. Velasquez

Management Science and Operations Research · with Eberhardt · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Velasquez trusts overall

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

  1. Thomas L. Saaty
  2. Morteza Pakdin Amiri
  3. Majid Behzadian
  4. Yingming Wang

Who trusts M. Velasquez overall

  1. Prasenjit Chatterjee
  2. Fatima Zahra El Mazouri
  3. Samira Vakilipour
  4. Shankar Chakraborty
  5. Mohammed Chaouki Abounaima
  6. Abolghasem Sadeghi-Niaraki
  7. Khalid Zenkouar
  8. Mostafa Ghodousi

Papers from M. Velasquez's perspective

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

  1. Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods (Expert systems with applications)
  2. Interval efficiency assessment using data envelopment analysis (Fuzzy Sets Syst.)
  3. The IASLC Lung Cancer Staging Project: Proposals for Coding T Categories for Subsolid Nodules and Assessment of Tumor Size in Part‐Solid Tumors in the Forthcoming Eighth Edition of the TNM… (Journal of Thoracic Oncology)
  4. Rank from comparisons and from ratings in the analytic hierarchy/network processes (European Journal of Operational Research)
  5. PROMETHEE: A comprehensive literature review on methodologies and applications (European Journal of Operational Research)
  6. A multi-criteria evaluation method for climate change mitigation policy instruments
  7. Use of multicriteria decision analysis methods for energy planning problems
  8. The IASLC Lung Cancer Staging Project: Validation of the Proposals for Revision of the T, N, and M Descriptors and Consequent Stage Groupings in the Forthcoming (Seventh) Edition of the TNM… (Journal of Thoracic Oncology)
  9. The IASLC Lung Cancer Staging Project: Proposals for the Revisions of the T Descriptors in the Forthcoming Eighth Edition of the TNM Classification for Lung Cancer (Journal of Thoracic Oncology)
  10. Improving energy productivity in paddy production through benchmarking—An application of data envelopment analysis

Their papers