Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
7546 | 1356 | 28.4 | 23% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
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 | AGENT ORIENTED SOFTWARE ENGINEERING | authKW | 444741 | 3% | 49% | 40 |
2 | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | journal | 190539 | 28% | 2% | 373 |
3 | AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS | journal | 176037 | 4% | 13% | 59 |
4 | MULTI AGENT SYSTEMS | authKW | 140194 | 11% | 4% | 143 |
5 | AGENT PROGRAMMING LANGUAGES | authKW | 100298 | 1% | 64% | 7 |
6 | AGENT ORIENTED METHODOLOGIES | authKW | 90064 | 0% | 67% | 6 |
7 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | WoSSC | 80308 | 63% | 0% | 856 |
8 | CAVENDISH COMP SCI | address | 71683 | 1% | 29% | 11 |
9 | AGENT ORIENTED PROGRAMMING | authKW | 68613 | 1% | 38% | 8 |
10 | AI COGNIT MODELLING INTERACT | address | 67551 | 0% | 100% | 3 |
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 | Computer Science, Artificial Intelligence | 80308 | 63% | 0% | 856 |
2 | Computer Science, Theory & Methods | 12736 | 27% | 0% | 365 |
3 | Computer Science, Software Engineering | 11443 | 21% | 0% | 291 |
4 | Computer Science, Information Systems | 4010 | 15% | 0% | 197 |
5 | Automation & Control Systems | 2032 | 8% | 0% | 113 |
6 | Logic | 1066 | 2% | 0% | 27 |
7 | Computer Science, Hardware & Architecture | 395 | 3% | 0% | 45 |
8 | Robotics | 349 | 2% | 0% | 21 |
9 | Computer Science, Interdisciplinary Applications | 269 | 4% | 0% | 60 |
10 | Engineering, Electrical & Electronic | 254 | 11% | 0% | 143 |
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 | CAVENDISH COMP SCI | 71683 | 1% | 29% | 11 |
2 | AI COGNIT MODELLING INTERACT | 67551 | 0% | 100% | 3 |
3 | FB INFORM | 67551 | 0% | 100% | 3 |
4 | DEDUCT MULTI AGENT SYST | 45034 | 0% | 100% | 2 |
5 | DISTRINET S | 45034 | 0% | 100% | 2 |
6 | GK KOGWISS | 45034 | 0% | 100% | 2 |
7 | INTELLIGENT INFORMAT TECHNOL CETINIA | 45034 | 0% | 100% | 2 |
8 | INTELLIGENT PROCESSES SYST | 45034 | 0% | 100% | 2 |
9 | MPOWER PROJECT | 45034 | 0% | 100% | 2 |
10 | MODECO | 40528 | 0% | 60% | 3 |
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 | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | 190539 | 28% | 2% | 373 |
2 | AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS | 176037 | 4% | 13% | 59 |
3 | KNOWLEDGE ENGINEERING REVIEW | 52225 | 2% | 7% | 32 |
4 | APPLIED ARTIFICIAL INTELLIGENCE | 16370 | 2% | 3% | 26 |
5 | INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS | 14829 | 1% | 4% | 15 |
6 | LECTURE NOTES IN COMPUTER SCIENCE | 14451 | 18% | 0% | 240 |
7 | BT TECHNOLOGY JOURNAL | 12695 | 2% | 2% | 23 |
8 | COMPUTATIONAL INTELLIGENCE | 7307 | 1% | 3% | 13 |
9 | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 6381 | 2% | 1% | 27 |
10 | IEEE INTERNET COMPUTING | 5395 | 1% | 2% | 15 |
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 | KARDAS, G , (2013) MODEL-DRIVEN DEVELOPMENT OF MULTIAGENT SYSTEMS: A SURVEY AND EVALUATION.KNOWLEDGE ENGINEERING REVIEW. VOL. 28. ISSUE 4. P. 479 -503 | 18 | 62% | 1 |
2 | DASTANI, M , (2015) PROGRAMMING MULTI-AGENT SYSTEMS.KNOWLEDGE ENGINEERING REVIEW. VOL. 30. ISSUE 4. P. 394 -418 | 14 | 74% | 0 |
3 | CERNUZZI, L , MOLESINI, A , OMICINI, A , ZAMBONELLI, F , (2011) ADAPTABLE MULTI-AGENT SYSTEMS: THE CASE OF THE GAIA METHODOLOGY.INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING. VOL. 21. ISSUE 4. P. 491-521 | 14 | 78% | 3 |
4 | KARDAS, G , GOKNIL, A , DIKENELLI, O , TOPALOGLU, NY , (2009) MODEL DRIVEN DEVELOPMENT OF SEMANTIC WEB ENABLED MULTI-AGENT SYSTEMS.INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS. VOL. 18. ISSUE 2. P. 261 -308 | 19 | 59% | 0 |
5 | GUTIERREZ, C , GARCIA-MAGARINO, I , SERRANO, E , BOTIA, JA , (2013) ROBUST DESIGN OF MULTI-AGENT SYSTEM INTERACTIONS: A TESTING APPROACH BASED ON PATTERN MATCHING.ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. VOL. 26. ISSUE 9. P. 2093-2104 | 13 | 76% | 0 |
6 | ALBEROLA, JM , BURDALO, L , JULIAN, V , TERRASA, A , GARCIA-FORNES, A , (2014) AN ADAPTIVE FRAMEWORK FOR MONITORING AGENT ORGANIZATIONS.INFORMATION SYSTEMS FRONTIERS. VOL. 16. ISSUE 2. P. 239 -256 | 13 | 68% | 1 |
7 | CHALLENGER, M , DEMIRKOL, S , GETIR, S , MERNIK, M , KARDAS, G , KOSAR, T , (2014) ON THE USE OF A DOMAIN-SPECIFIC MODELING LANGUAGE IN THE DEVELOPMENT OF MULTIAGENT SYSTEMS.ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. VOL. 28. ISSUE . P. 111 -141 | 17 | 49% | 1 |
8 | ALBEROLA, JM , JULIAN, V , GARCIA-FORNES, A , (2013) MULTIDIMENSIONAL ADAPTATION IN MAS ORGANIZATIONS.IEEE TRANSACTIONS ON CYBERNETICS. VOL. 43. ISSUE 2. P. 622-633 | 9 | 90% | 1 |
9 | GATEAU, B , OUEDRAOGO, M , FELTUS, C , GUEMKAM, G , DANOY, G , SEREDYNSKI, M , KHAN, SU , KHADRAOUI, D , BOUVRY, P , (2015) ADOPTING TRUST AND ASSURANCE AS INDICATORS FOR THE REASSIGNMENT OF RESPONSIBILITIES IN MULTI-AGENT SYSTEMS.KNOWLEDGE ENGINEERING REVIEW. VOL. 30. ISSUE 2. P. 187 -200 | 7 | 100% | 1 |
10 | STANKOVIC, R , STULA, M , MARAS, J , (2017) EVALUATING FAULT TOLERANCE APPROACHES IN MULTI-AGENT SYSTEMS.AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS. VOL. 31. ISSUE 1. P. 151 -177 | 9 | 75% | 0 |
Classes with closest relation at Level 1 |