۱- Assessing information diffusion models for influence maximization in signed social networks. Maryam Hosseini-Pozveh, Kamran Zamanifar, Ahmad Reza Naghsh-Nilchi. 2019, Journal of Expert Systems with Applications, pp. 476-490.
2- Efficient deadline-aware scheduling for the analysis of Big Data streams in public Cloud. Mahmood Mortazavi-Dehkordi, Kamran Zamanifar. 2019, Cluster Computing, pp. 1-23.
3- Efficient resource scheduling for the analysis of Big Data streams. Mahmood Mortazavi-Dehkordi, Kamran Zamanifar. 2019, Intelligent Data Analysis, pp. 77-102.
Internet of Things/Internet of Everything: Structure and ingredients. Zeinab Nezami and Kamran Zamanifar. 2019, IEEE Potentials, pp. 12-17.
4- Composing scientific collaborations based on scholars’ rank in hypergraph. Fahimeh Ghasemian, Kamran Zamanifar, Nasser Ghasem-Aghaee. 2019, Information System Frontiers, pp. 687-702.
5- A cascade information diffusion based label propagation algorithm for community detection in dynamic social networks. Mohammad Sattari, Kamran Zamanifar. 2018, Journal of Computational Science, pp. 122-133.
6- An evolutionary non-linear ranking algorithm for ranking scientific collaborations. Fahimeh Ghasemian, Kamran Zamanifar, Nasser Ghasem-Aghaee. 2017, Applied Intelligence, pp. 1-18.
7- A spreading activation-based label propagation algorithm for overlapping community detection in dynamic social networks. Mohammad Sattari, Kamran Zamanifar. 2017, Data & Knowledge Engineering, pp. 1-25.
8- A novel protocol in media access control for wireless body and network. Zahra Mardani koorani, Kamran Zamanifar.2017, International Journal of Computer Science and Network Security, vol 17, pp. 301-305.
9- Toward a better scientific collaboration success prediction model through the feature space expansion. Fahimeh Ghasemian, Kamran Zamanifar, Nasser Ghasem-Aqaee, Noshir Contractor. 2016, Scientometrics, pp. 1-28.
10- Maximizing the spread of positive influence in signed social networks. Maryam Hosseini-Pozveh, Kamran Zamanifar, Ahmad Reza Naghsh-Nilchi, Peter Dolog. 2016, Intelligent Data Analysis, pp. 199-218.
11- A community-based approach to identify the most influence nodes in social networks. Maryam Hosseini-Pozveh, Kamran Zamanifar, Ahmad Reza Naghsh-Nilchi. 2015, Journal of Information Science, pp. 1-17.
۱۲- Mvcc: An architectural pattern for developing context- aware framework. Hossain Shams, Kamran Zamanifar. 2014, Procedia Computer Science, vol. 34, pp. 344-351.
13- A new community-based context distribution approach for large-scale pervasive systems. Hamed Vahdatnejad, Kamran Zamanifar, Naser Nematbakhsh. 2013, International Journal of Ad Hoc and Ubiquitous Computing , vol. 14, pp. 90-98.
14- Design guidelines for rapid and simple context-aware mobile application development – an android case study. Hossain Shams, Kamran Zamanifar. 2015, EAI Endorsed Transactions on context-awareness Systems and Applications, pp. 1-6.
۱۵- Adaptive team-based multi agent organization model: A case in rescue systems. Afsaneh Fatemi, Kamran Zamani, Naser Nematbakhsh. 2011. International Journal of Computer Science and Information Technology, vol. 3, pp. 165-175.
16- An adaptive service choreography approach based on ontology driven policy refinement. Farhad Mardoukhi, Naser Nematbakhsh, Kamran Zamanifar. 2011, International Journal of Web and Semantic Technology, vol. 2, pp. 59-76.
17- Capability-based task allocation in emergency-response environments: A coalition formation approach. Afsaneh Fatemi, Kamran Zamanifar, Naser Nematbakhsh. 2013, Turkish Journal of Electrical Engineering & Computer Science, vol. 21, pp. 1166-1181.
18- Context-aware middleware architecture for smart home environment. Hamed Vahdat Nejad, Kamran Zamanifar, Naser Nematbakhsh. 2013, International Journal of Smart Home, vol. 7, pp. 77-86.
19- DEC: Diversity-based energy aware clustering for heteregeneous sensor networks. Hadi Tabatabaiee malazi, Kamran Zamanifar. 2O12, Ad Hoc & Wireless Sensor Networks, 2O12, vol. 17, pp. 53-72.
20- Developing improved Greedy crossover to solve symmetric travelling salesman problem. Hasan Esmkhan, Kamran Zamanifar. 2012, International Journal of Computer Science Issues, vol. 9, pp. 121-126.
21- Developing programming tools to handle traveling salesman problem by the three object oriented languages. Hasan Esmkhan, Kamran Zamanifar. 2014, Applied Computational Intelligence and Soft Computing, vol. 2014, pp. 1-16.
22- Extending WS-CDL to support re-usability. Farhad Mardoukhi, Naser Nemat Bakhsh, Kamran Zamanifar. 2011, International Journal on Web Service Computing, vol. 2, pp. 1-15.
22- FED: Fuzzy event detection model for wireless networks. Hadi Tabatabaiee, Kamran Zamanifar, Stefan Dolman. 2011, International Journal of Wireless and Mobile Networks, vol. 3, pp. 29-45.
23- Gossip-based density estimation in dynamic heterogeneous wireless sensor networks. Hadi Tabatabaiee, Kamran Zamanifar, Andre Protino, Stefan Dolman. 2014, International Journal of Autonomous and Adaptive Comunication Systems , vol. 7, pp. 151-167.
24- Improvement of harmony search algorithm by using statistical analysis. Hadi Sarvari, Kamran Zamanifar. 2011, Artificial Intelligence Review, pp. 1-35.
25- Intelligent continuous double auction method for service allocation in cloud computing. Nima Farajian, Kamran Zamanifar. 2013, BRAIN, vol. 4, pp. 1-11.
26- New approach to multi-level processor Scheduling. Samaneh Hossaini, Kamaran Zamanifar. 2010, International Journal of Artificial Intelligence Tools, vol. 19, pp. 335-346.
۲۷- OoS decomposition for service composition. Farhad Mardoukhi, Naser Nematbakhsh, Kamran Zamanifar. 2013,Applied Soft Computing, pp. 3409-3421.
28- The power of the ants on solving distributed constraints satisfaction problems. Samaneh Hossaini semnani, Kamran Zamanifar. 2012, Applied Soft Computing, 2012, vol ۱۲, pp. 640-651.
29- Study of some recent crossover effects on speed and accuracy of genetic algorithms, using symmetric travelling salesman problem. Hasan Esmkhan, Kamran Zamanifar. 2013, International Journal of Computer Applications, vol. 8, pp. 1-6.
30- Design and Implementation of a Multi-Agent System for the Job Shop Scheduling Problem. Laila Asadzadeh, Kamran Zamanifar. 2011, International Journal of Computer Science and Security, vol. 5. pp. 287-297.
31- Ontology instant matching using distributed similarity measure. Farinaz Alamian, Kamran Zamanifar. 2011, International Review on Computer and Software, vol 6, pp. 462-472.
32- A decentralized coalition formation among homogeneous agents. Laila Khaloozadeh, Kamran Zamanifar, Naser Nematbakhsh. 2014, Journal of Theoretical and Applied Information Technology, vol. 22, pp 35-42.