Igor Kuzmanovski - Concepedia

Author

Igor Kuzmanovski

Ss. Cyril and Methodius University in Skopje ORCID

Also Known As

I Kuzmanovski, I. Kuzmanovski, Igor KUZMANOVSKI, Igor Kuzmanovski, KUZMANOVSKI, IGOR, Kuzmanovski, Igor

Publications

Citations

H-Index

Concepts

All Affiliations

Ss. Cyril and Methodius University in Skopje National Institute of Chemistry Folkwang University of the Arts University of Siegen University of Belgrade

About

Igor Kuzmanovski is an author at Ss. Cyril and Methodius University in Skopje specializing in engineering, medicine, and chemistry.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	15	538
2	Medicine	11	11	244
3	Natural Sciences	7	7	348
4	Social Sciences	2	2	31
5	Health Sciences	1	1	14

Igor Kuzmanovski

Publications

947

Citations

H-Index

Page 1

	Year	Citations
Infrared and Raman spectra of magnesium ammonium phosphate hexahydrate (struvite) and its isomorphous analogues. III. Spectra of protiated and partially deuterated magnesium ammonium phosphate hexahydrate Viktor Stefov, Bojan Šoptrajanov, Igor Kuzmanovski, Journal of Molecular Structure Materials ScienceInorganic ChemistryRaman SpectraEngineeringInorganic Material	2005	134
Infrared and Raman spectra of magnesium ammonium phosphate hexahydrate (struvite) and its isomorphous analogues. I. Spectra of protiated and partially deuterated magnesium potassium phosphate hexahydrate Viktor Stefov, Bojan Šoptrajanov, Filip Spirovski, Journal of Molecular Structure Materials ScienceInorganic ChemistryRaman SpectraEngineeringInorganic Material	2003	93
An injectable implant to stimulate the sphenopalatine ganglion for treatment of acute ischaemic stroke up to 24 h from onset (ImpACT-24B): an international, randomised, double-blind, sham-controlled, pivotal trial Natan M. Bornstein, Jeffrey L. Saver, Hans‐Christoph Diener, The Lancet ThrombosisPivotal TrialIschemic StrokeMedicineInjectable Implant	2019	64
Counter-propagation neural networks in Matlab Igor Kuzmanovski, Marjana Novič Chemometrics and Intelligent Laboratory Systems EngineeringComputational Learning TheoryMachine LearningCellular Neural NetworkCounter-propagation Neural Networks	2007	52
Myasthenia Gravis and Associated Diseases Nikolina Tanovska, Gabriela Novotni, Slobodanka Sazdova-Burneska, Open Access Macedonian Journal of Medical Sciences	2018	44
Very low H–O–H bending frequencies. IV. Fourier transform infrared spectra of synthetic dittmarite Bojan Šoptrajanov, Viktor Stefov, Igor Kuzmanovski, Journal of Molecular Structure Materials ScienceFourier TransformNatural SciencesSpectroscopyInfrared Spectroscopy	2002	43
Prediction of the unit cell edge length of cubic A22+BB′O6 perovskites by multiple linear regression and artificial neural networks Sandra Dimitrovska, Slobotka Aleksovska, Igor Kuzmanovski Open Chemistry Crystal StructureEngineeringMultiple Linear RegressionHalide PerovskitesCubic A22+bb′o6 Perovskites	2005	42
Classification of perovskites with supervised self-organizing maps Igor Kuzmanovski, Sandra Dimitrovska‐Lazova, Slobotka Aleksovska Analytica Chimica Acta EngineeringMachine LearningManifold LearningPattern RecognitionSupervised Self-organizing Maps	2007	35
Optimization of artificial neural networks for prediction of the unit cell parameters in orthorhombic perovskites. Comparison with multiple linear regression Igor Kuzmanovski, Slobotka Aleksovska Chemometrics and Intelligent Laboratory Systems Materials ScienceUnit Cell ParametersEngineeringMachine LearningArtificial Neural Networks	2003	33
Prediction of toxicity and data exploratory analysis of estrogen-active endocrine disruptors using counter-propagation artificial neural networks Nataša Stojić, Slavica Erić, Igor Kuzmanovski Journal of Molecular Graphics and Modelling Endocrine DisruptorsPredictive ToxicologyEndocrine MechanismMedicineHormonal Receptor	2010	31

Page 1