Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
16300 | 662 | 21.2 | 35% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
9 | 4 | COMPUTER SCIENCE, THEORY & METHODS//COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//COMPUTER SCIENCE, INFORMATION SYSTEMS | 1247339 |
313 | 3 | TELECOMMUNICATIONS//QUEUEING SYSTEMS//PERFORMANCE EVALUATION | 40047 |
832 | 2 | QUEUEING SYSTEMS//QUEUEING//PERFORMANCE EVALUATION | 11820 |
16300 | 1 | PRODUCT FORM//RANDOM NEURAL NETWORK//G NETWORKS | 662 |
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 | PRODUCT FORM | authKW | 1280894 | 8% | 51% | 54 |
2 | RANDOM NEURAL NETWORK | authKW | 873560 | 4% | 76% | 25 |
3 | G NETWORKS | authKW | 786544 | 3% | 95% | 18 |
4 | INTELLIGENT SYST NETWORKS GRP | address | 546315 | 4% | 41% | 29 |
5 | NEGATIVE CUSTOMERS | authKW | 542626 | 3% | 59% | 20 |
6 | COGNITIVE PACKET NETWORKS | authKW | 519667 | 2% | 87% | 13 |
7 | POWER PACKET | authKW | 322872 | 1% | 100% | 7 |
8 | NEGATIVE ARRIVALS | authKW | 251120 | 1% | 78% | 7 |
9 | QUASI REVERSIBILITY | authKW | 220480 | 2% | 34% | 14 |
10 | PARTIAL BALANCE | authKW | 207552 | 1% | 50% | 9 |
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 | Operations Research & Management Science | 8604 | 26% | 0% | 172 |
2 | Statistics & Probability | 8328 | 27% | 0% | 182 |
3 | Computer Science, Hardware & Architecture | 2805 | 12% | 0% | 78 |
4 | Computer Science, Theory & Methods | 2117 | 16% | 0% | 106 |
5 | Computer Science, Information Systems | 1294 | 12% | 0% | 79 |
6 | Computer Science, Software Engineering | 834 | 9% | 0% | 57 |
7 | Computer Science, Interdisciplinary Applications | 548 | 8% | 0% | 55 |
8 | Telecommunications | 442 | 7% | 0% | 49 |
9 | Engineering, Industrial | 435 | 5% | 0% | 31 |
10 | Automation & Control Systems | 352 | 5% | 0% | 34 |
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 | INTELLIGENT SYST NETWORKS GRP | 546315 | 4% | 41% | 29 |
2 | COMP VIS ARTIFICIAL NEURAL NETWORKS | 92249 | 0% | 100% | 2 |
3 | BUR U319 | 46125 | 0% | 100% | 1 |
4 | COMP SCI SYST DESIGN ANALYSIS GRP | 46125 | 0% | 100% | 1 |
5 | DAC CPN | 46125 | 0% | 100% | 1 |
6 | DENNIS GABOR CHAIR | 46125 | 0% | 100% | 1 |
7 | ECOLE HAUTES EDUD INFORMAT | 46125 | 0% | 100% | 1 |
8 | GMTGB TECHNOPK | 46125 | 0% | 100% | 1 |
9 | HEC LAUSANNE INTERNEF | 46125 | 0% | 100% | 1 |
10 | INTERDISCIPLINARY OPERAT PROGRAM | 46125 | 0% | 100% | 1 |
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 | JOURNAL OF APPLIED PROBABILITY | 83019 | 12% | 2% | 79 |
2 | QUEUEING SYSTEMS | 53161 | 5% | 3% | 36 |
3 | PERFORMANCE EVALUATION | 41815 | 6% | 2% | 38 |
4 | PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES | 32125 | 3% | 3% | 22 |
5 | ADVANCES IN APPLIED PROBABILITY | 30886 | 5% | 2% | 36 |
6 | AUTOMATION AND REMOTE CONTROL | 7652 | 4% | 1% | 25 |
7 | COMPUTER JOURNAL | 7652 | 3% | 1% | 21 |
8 | OPERATIONS RESEARCH LETTERS | 7288 | 3% | 1% | 21 |
9 | AVTOMATIKA I VYCHISLITELNAYA TEKHNIKA | 6505 | 1% | 3% | 5 |
10 | RAIRO-OPERATIONS RESEARCH | 5419 | 1% | 2% | 7 |
Author Key Words |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | PRODUCT FORM | 1280894 | 8% | 51% | 54 | Search PRODUCT+FORM | Search PRODUCT+FORM |
2 | RANDOM NEURAL NETWORK | 873560 | 4% | 76% | 25 | Search RANDOM+NEURAL+NETWORK | Search RANDOM+NEURAL+NETWORK |
3 | G NETWORKS | 786544 | 3% | 95% | 18 | Search G+NETWORKS | Search G+NETWORKS |
4 | NEGATIVE CUSTOMERS | 542626 | 3% | 59% | 20 | Search NEGATIVE+CUSTOMERS | Search NEGATIVE+CUSTOMERS |
5 | COGNITIVE PACKET NETWORKS | 519667 | 2% | 87% | 13 | Search COGNITIVE+PACKET+NETWORKS | Search COGNITIVE+PACKET+NETWORKS |
6 | POWER PACKET | 322872 | 1% | 100% | 7 | Search POWER+PACKET | Search POWER+PACKET |
7 | NEGATIVE ARRIVALS | 251120 | 1% | 78% | 7 | Search NEGATIVE+ARRIVALS | Search NEGATIVE+ARRIVALS |
8 | QUASI REVERSIBILITY | 220480 | 2% | 34% | 14 | Search QUASI+REVERSIBILITY | Search QUASI+REVERSIBILITY |
9 | PARTIAL BALANCE | 207552 | 1% | 50% | 9 | Search PARTIAL+BALANCE | Search PARTIAL+BALANCE |
10 | RATE CONSERVATION | 192184 | 1% | 83% | 5 | Search RATE+CONSERVATION | Search RATE+CONSERVATION |
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 | DO, TV , (2011) AN INITIATIVE FOR A CLASSIFIED BIBLIOGRAPHY ON G-NETWORKS.PERFORMANCE EVALUATION. VOL. 68. ISSUE 4. P. 385 -394 | 128 | 77% | 8 |
2 | TIMOTHEOU, S , (2010) THE RANDOM NEURAL NETWORK: A SURVEY.COMPUTER JOURNAL. VOL. 53. ISSUE 3. P. 251 -267 | 47 | 82% | 22 |
3 | CAGLAYAN, MU , (2016) EROL GELENBE: A CAREER IN MULTI-DISCIPLINARY PROBABILITY MODELS.PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES. VOL. 30. ISSUE 3. P. 308 -325 | 47 | 69% | 0 |
4 | MARIN, A , (2016) PRODUCT-FORM IN G-NETWORKS.PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES. VOL. 30. ISSUE 3. P. 345 -360 | 30 | 100% | 0 |
5 | BOCHAROV, PP , VISHNEVSKII, VM , (2003) G-NETWORKS: DEVELOPMENT OF THE THEORY OF MULTIPLICATIVE NETWORKS.AUTOMATION AND REMOTE CONTROL. VOL. 64. ISSUE 5. P. 714-739 | 36 | 95% | 15 |
6 | SAKELLARI, G , (2010) THE COGNITIVE PACKET NETWORK: A SURVEY.COMPUTER JOURNAL. VOL. 53. ISSUE 3. P. 268 -279 | 29 | 88% | 12 |
7 | BADAROGLU, M , HALICI, U , AYBAY, I , CERKEZ, C , (2010) A CASCADABLE RANDOM NEURAL NETWORK CHIP WITH RECONFIGURABLE TOPOLOGY.COMPUTER JOURNAL. VOL. 53. ISSUE 3. P. 289 -303 | 30 | 86% | 0 |
8 | PEKERGIN, N , (2016) FESTSCHRIFT FOR EROL GELENBE'S 70TH BIRTHDAY.PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES. VOL. 30. ISSUE 3. P. 301 -307 | 23 | 92% | 0 |
9 | ARTALEJO, JR , (2000) G-NETWORKS: A VERSATILE APPROACH FOR WORK REMOVAL IN QUEUEING NETWORKS.EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. VOL. 126. ISSUE 2. P. 233-249 | 31 | 91% | 91 |
10 | BASTERRECH, S , RUBINO, G , (2015) RANDOM NEURAL NETWORK MODEL FOR SUPERVISED LEARNING PROBLEMS.NEURAL NETWORK WORLD. VOL. 25. ISSUE 5. P. 457 -499 | 26 | 65% | 1 |
Classes with closest relation at Level 1 |