Ramin Nikzad‐Langerodi

Analytical Chemistry · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Analytical Chemistry — 15 citations into it
• Industrial and Manufacturing Engineering — 8 citations into it
• Biophysics — 7 citations into it

Whom Ramin Nikzad‐Langerodi trusts overall

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

1. Puneet Mishra
2. Kerry Brian Walsh

Papers from Ramin Nikzad‐Langerodi's perspective

Ordered by how strongly the researchers Ramin Nikzad‐Langerodi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Standardisation and Calibration Transfer for near Infrared Instruments: A Review
2. A theory of learning from different domains
3. Visible-NIR ‘point’ spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use
4. Two standard-free approaches to correct for external influences on near-infrared spectra to make models widely applicable
5. Transfer of multivariate calibration models: a review
6. Improved prediction of ‘Kent’ mango firmness during ripening by near-infrared spectroscopy supported by interval partial least square regression
7. Improving moisture and soluble solids content prediction in pear fruit using near-infrared spectroscopy with variable selection and model updating approach
8. Achieving robustness to temperature change of a NIRS-PLSR model for intact mango fruit dry matter content
9. Robust NIRS models for non-destructive prediction of postharvest fruit ripeness and quality in mango
10. Multivariate calibration. (Journal of Chromatography A)

Their papers

• Partial least square regression versus domain invariant partial least square regression with application to near-infrared spectroscopy of fresh fruit (2020) — 57 citations