Brüggemann, R. and G. Restrepo. 2013. Estimating Octanol/Water
Partition Coefficients by Order Preserving Mappings. Croatica Chemica
Acta 86:509-517.
Brüggemann, R., H.-J. Mucha, and H.-G. Bartel. 2013. Ranking of
Polluted Regions in South West Germany Based on a Multi-indicator
System. MATCH Commun.Math.Comput.Chem. 69:433-462.
Carlsen, L., R. Brüggemann, and Y. Sailaukhanuly. 2013. Application
of selected partial order tools to analyze fate and toxicity
indicators of environmentally
hazarduous chemicals. Ecol.Indicators 29:191-202.
Carlsen, L. and R. Brüggemann. 2013. Partial order methodology:
a valuable tool in chemometrics. J.of Chemometrics DOI: 10.1002/cem.
2569.
Fattore, M. and R. Grassi. 2013. Measuring dynamics and structural
change of time-dependent socio-economic networks. Qual.Quant.:
DOI 10.1007/s11135-013-9861-1.
Myers, W. L. and G. P. Patil. 2013. Coordination of Contrariety and
Ambiguity in Comparative Compositional Contexts.
Balance of Normalized Definitive Status in Multi-indicator Systems.
Pages 167-196 in R. Bruggemann, L. Carlsen, and
J. Wittmann, eds. Multi-Indicator Systems and Modelling in Partial
Order. Springer, New York.
Quintero, N. Y., G. Restrepo, and M. Cohen. 2013. Relating ß+
radionuclides' properties by order theory. J.Radioanal.Nucl.Chem.
DOI 10.1007/s10967-013-2685-6.
Sailaukhanuly, Y., A. Zhakupbekova, F. Amutova, and L. Carlsen. 2013.
On the ranking of chemicals based on their PBT characteristics:
Comparison of different ranking methodologies using selected POPs
as an illustrative example. Chemosphere 90:112-117.
Voigt, K., H. Scherb, R. Brüggemann, and K.-H. Schramm. 2013.
Discrete mathematical data analysis approach: A valuable assessment
method for sustainable chemistry. Stoten 454/455:149-153.
Voigt, K., R. Brüggemann, H. Scherb, I. Cok, B. Mazmanci,
M. A. Mazmanci, C. Turgut, and K.-H. Schramm. 2013. Evaluation of
organochlorine pesticides in breast milk samples in Turkey applying
features of the partial order technique. Int.J.of Environ.health
Research 23:226-246.
Wieland, R. and R. Brüggemann. 2013. Hasse Diagram Technique and
Monte Carlo Simulations. MATCH Commun.Math.Comput.Chem. 70:45-59.