Class information for: |
Basic class information |
| Class id | #P | Avg. number of references |
Database coverage of references |
|---|---|---|---|
| 14120 | 791 | 22.0 | 56% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
| Cluster id | Level | Cluster label | #P |
|---|---|---|---|
| 10 | 4 | OPTICS//PHYSICS, PARTICLES & FIELDS//PHYSICS, MULTIDISCIPLINARY | 1131262 |
| 311 | 3 | SERS//SURFACE ENHANCED RAMAN SCATTERING//CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 40151 |
| 322 | 2 | CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS//NEAR INFRARED SPECTROSCOPY//JOURNAL OF CHEMOMETRICS | 18229 |
| 14120 | 1 | ENSAIOS COMBUSTIVEIS//BRAZILIAN COMMERCIAL GASOLINE//OCTANE NUMBER FOR MOTOR GASOLINE | 791 |
Terms with highest relevance score |
| rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
|---|---|---|---|---|---|---|
| 1 | ENSAIOS COMBUSTIVEIS | address | 333628 | 1% | 79% | 11 |
| 2 | BRAZILIAN COMMERCIAL GASOLINE | authKW | 231612 | 1% | 100% | 6 |
| 3 | OCTANE NUMBER FOR MOTOR GASOLINE | authKW | 231612 | 1% | 100% | 6 |
| 4 | MONITORING QUAL FUELS BIOFUELS CRUDE OI | address | 214447 | 1% | 56% | 10 |
| 5 | GASOLINE | authKW | 179523 | 10% | 6% | 76 |
| 6 | DISTILLATION FRACTIONS | authKW | 173706 | 1% | 75% | 6 |
| 7 | OCTANE NUMBER | authKW | 160566 | 3% | 20% | 21 |
| 8 | ENSAIO COMBUSTIVEIS | address | 154408 | 1% | 100% | 4 |
| 9 | PATTERN RECOGNITION MULTIVARIATE SIMCA | authKW | 154408 | 1% | 100% | 4 |
| 10 | SIMCA MODEL | authKW | 154408 | 1% | 100% | 4 |
Web of Science journal categories |
| Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
|---|---|---|---|---|---|
| 1 | Energy & Fuels | 9825 | 36% | 0% | 283 |
| 2 | Engineering, Petroleum | 7470 | 10% | 0% | 78 |
| 3 | Engineering, Chemical | 6222 | 37% | 0% | 294 |
| 4 | Chemistry, Analytical | 3402 | 29% | 0% | 227 |
| 5 | Spectroscopy | 2288 | 15% | 0% | 120 |
| 6 | Instruments & Instrumentation | 856 | 11% | 0% | 87 |
| 7 | Automation & Control Systems | 142 | 3% | 0% | 25 |
| 8 | Chemistry, Applied | 104 | 4% | 0% | 33 |
| 9 | Mathematics, Interdisciplinary Applications | 92 | 3% | 0% | 23 |
| 10 | Computer Science, Artificial Intelligence | 83 | 3% | 0% | 26 |
Address terms |
| Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
|---|---|---|---|---|---|
| 1 | ENSAIOS COMBUSTIVEIS | 333628 | 1% | 79% | 11 |
| 2 | MONITORING QUAL FUELS BIOFUELS CRUDE OI | 214447 | 1% | 56% | 10 |
| 3 | ENSAIO COMBUSTIVEIS | 154408 | 1% | 100% | 4 |
| 4 | TECH HLTH | 98965 | 1% | 26% | 10 |
| 5 | NIR PROJECT TFT | 86853 | 0% | 75% | 3 |
| 6 | COMPOSIT MODELING GRP | 77204 | 0% | 100% | 2 |
| 7 | MANICA BRANCH | 77204 | 0% | 100% | 2 |
| 8 | MONITORING QUAL FUELS CRUDE OIL DERIV | 77204 | 0% | 100% | 2 |
| 9 | DEV METHODOL ANAL OILS | 77200 | 1% | 50% | 4 |
| 10 | NIR PROJECT TEAM | 68621 | 1% | 44% | 4 |
Journals |
| Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
|---|---|---|---|---|---|
| 1 | FUEL | 32058 | 14% | 1% | 111 |
| 2 | ENERGY & FUELS | 16786 | 9% | 1% | 72 |
| 3 | PETROLEUM SCIENCE AND TECHNOLOGY | 7436 | 3% | 1% | 24 |
| 4 | HYDROCARBON PROCESSING | 7068 | 2% | 1% | 16 |
| 5 | APPLIED SPECTROSCOPY | 6063 | 5% | 0% | 36 |
| 6 | SOUTH AFRICAN MECHANICAL ENGINEER | 5513 | 0% | 14% | 1 |
| 7 | JOURNAL OF NEAR INFRARED SPECTROSCOPY | 4981 | 1% | 1% | 10 |
| 8 | CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 3912 | 2% | 1% | 18 |
| 9 | CHEMISTRY AND TECHNOLOGY OF FUELS AND OILS | 3316 | 1% | 1% | 9 |
| 10 | SPECTROSCOPY AND SPECTRAL ANALYSIS | 2921 | 4% | 0% | 28 |
Author Key Words |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
| Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
|---|---|---|---|---|
| 1 | MENDES, G , BARBEIRA, PJS , (2013) DETECTION AND QUANTIFICATION OF ADULTERANTS IN GASOLINE USING DISTILLATION CURVES AND MULTIVARIATE METHODS.FUEL. VOL. 112. ISSUE . P. 163 -171 | 27 | 73% | 4 |
| 2 | KAISER, CR , BORGES, JL , DOS SANTOS, AR , AZEVEDO, DA , D'AVILA, LA , (2010) QUALITY CONTROL OF GASOLINE BY H-1 NMR: AROMATICS, OLEFINICS, PARAFFINICS, AND OXYGENATED AND BENZENE CONTENTS.FUEL. VOL. 89. ISSUE 1. P. 99 -104 | 22 | 92% | 18 |
| 3 | FLUMIGNAN, DL , SEQUINEL, R , HATANAKA, RR , BORALLE, N , DE OLIVEIRA, JE , (2012) CARBON NUCLEAR MAGNETIC RESONANCE SPECTROSCOPIC PROFILES COUPLED TO PARTIAL LEAST-SQUARES MULTIVARIATE REGRESSION FOR PREDICTION OF SEVERAL PHYSICOCHEMICAL PARAMETERS OF BRAZILIAN COMMERCIAL GASOLINE.ENERGY & FUELS. VOL. 26. ISSUE 9. P. 5711-5718 | 26 | 76% | 3 |
| 4 | FLUMIGNAN, DL , SEQUINEL, R , HATANAKA, RR , BORALLE, N , DE OLIVEIRA, JE , (2012) MULTIVARIATE CALIBRATIONS ON H-1 NMR PROFILES FOR PREDICTION OF PHYSICOCHEMICAL PARAMETERS OF BRAZILIAN COMMERCIAL GASOLINE.FUEL. VOL. 99. ISSUE . P. 180-187 | 26 | 72% | 0 |
| 5 | BOLANCA, T , MARINOVIC, S , UKIC, S , JUKIC, A , RUKAVINA, V , (2012) DEVELOPMENT OF ARTIFICIAL NEURAL NETWORK MODEL FOR DIESEL FUEL PROPERTIES PREDICTION USING VIBRATIONAL SPECTROSCOPY.ACTA CHIMICA SLOVENICA. VOL. 59. ISSUE 2. P. 249-257 | 25 | 71% | 4 |
| 6 | MONTEIRO, MR , AMBROZIN, ARP , LIAO, LM , BOFFO, EF , TAVARES, LA , FERREIRA, MMC , FERREIRA, AG , (2009) STUDY OF BRAZILIAN GASOLINE QUALITY USING HYDROGEN NUCLEAR MAGNETIC RESONANCE (H-1 NMR) SPECTROSCOPY AND CHEMOMETRICS.ENERGY & FUELS. VOL. 23. ISSUE 1. P. 272 -279 | 26 | 68% | 24 |
| 7 | DE PAULO, JM , BARROS, JEM , BARBEIRA, PJS , (2014) DIFFERENTIATION OF GASOLINE SAMPLES USING FLAME EMISSION SPECTROSCOPY AND PARTIAL LEAST SQUARES DISCRIMINATE ANALYSIS.ENERGY & FUELS. VOL. 28. ISSUE 7. P. 4355 -4361 | 21 | 78% | 3 |
| 8 | CHUNG, H , (2007) APPLICATIONS OF NEAR-INFRARED SPECTROSCOPY IN REFINERIES AND IMPORTANT ISSUES TO ADDRESS.APPLIED SPECTROSCOPY REVIEWS. VOL. 42. ISSUE 3. P. 251 -285 | 42 | 42% | 17 |
| 9 | FLUMIGNAN, DL , BORALLE, N , DE OLIVEIRA, JE , (2010) SCREENING BRAZILIAN COMMERCIAL GASOLINE QUALITY BY HYDROGEN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPIC FINGERPRINTINGS AND PATTERN-RECOGNITION MULTIVARIATE CHEMOMETRIC ANALYSIS.TALANTA. VOL. 82. ISSUE 1. P. 99-105 | 21 | 78% | 11 |
| 10 | CARVALHO, FIM , DANTAS, HA , (2014) STUDY OF TYPE A GASOLINE QUALITY AND ITS CHEMICAL COMPOSITION USING PRINCIPAL COMPONENT ANALYSIS.QUIMICA NOVA. VOL. 37. ISSUE 1. P. 33-U50 | 19 | 79% | 0 |
Classes with closest relation at Level 1 |