Citations Report

Telecommunications System & Management : Citations & Metrics Report

Articles published in Telecommunications System & Management have been cited by esteemed scholars and scientists all around the world.

Telecommunications System & Management has got h-index 5, which means every article in Telecommunications System & Management has got 5 average citations.

Following are the list of articles that have cited the articles published in Telecommunications System & Management.

	2024	2023	2022	2021	2020	2019	2018
Total published articles	40	30	62	70	167	12	23
Research, Review articles and Editorials	1	0	0	0	0	0	0
Research communications, Review communications, Editorial communications, Case reports and Commentary	39	30	0	0	0	0	0
Conference proceedings	0	0	0	0	0	14	0
Citations received as per Google Scholar, other indexing platforms and portals	119	66	10	14	15	12	14

Journal total citations count	109
Journal impact factor	0.04
Journal 5 years impact factor	0.24
Journal cite score	0.21
Journal h-index	5
Journal h-index since 2019	4

Important citations

Test, J. E. Fathollah Bistouni & Mohsen Jahanshahi. Chicago View at Publisher View at Google Scholar
Khadangi, E., Bagheri, A., & Shahmohammadi, A. (2016). Biased sampling from facebook multilayer activity network using learning automata. Applied Intelligence, 45(3), 829-849. View at Publisher View at Google Scholar
Hasanzadeh, M., & Meybodi, M. R. Soft computing Laboratory, Computer Engineering and Information Technology Department, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. View at Publisher View at Google Scholar
Meybodi, R. Mehdi Rezapoor Mirsaleh & Mohammad. View at Publisher View at Google Scholar
Mirsaleh, M. R., & Meybodi, M. R. (2016). A Michigan memetic algorithm for solving the community detection problem in complex network. Neurocomputing, 214, 535-545. View at Publisher View at Google Scholar
Wang, J., & Shi, W. (2017). Joint multicast routing and channel assignment for multi-radio multi-channel wireless mesh networks with hybrid traffic. Journal of Network and Computer Applications, 80, 90-108. View at Publisher View at Google Scholar
Behravesha, R., & Jahanshahib, M. (2016). Interference-Aware and Cluster based Multicast Routing in Multi-Radio Multi-Channel Wireless Mesh Networks. Journal of Computer & Robotics, 1. View at Publisher View at Google Scholar
Moghaddam, A. (2015). Impacts of Channel Switching Overhead on the Performance of Multicast in Wireless Mesh Networks (Doctoral dissertation, YORK UNIVERSITY TORONTO). View at Publisher View at Google Scholar
Bistouni, F., & Jahanshahi, M. (2015). Formulating broadcast reliability equations on multilayer multistage interconnection networks. The Journal of Supercomputing, 71(11), 4019-4041. View at Publisher View at Google Scholar
Jahanshahi, M., Dehghan, M., & Meybodi, M. R. (2016). A cross-layer optimization framework for joint channel assignment and multicast routing in multi-channel multi-radio wireless mesh networks. International Journal of Computer Mathematics, 1-29. View at Publisher View at Google Scholar
Mollakhalili Meybodi, M. R., & Meybodi, M. R. (2014). Extended distributed learning automata. Applied Intelligence, 41(3), 923-940. View at Publisher View at Google Scholar
Mirsaleh, M. R., & Meybodi, M. R. (2016). A new memetic algorithm based on cellular learning automata for solving the vertex coloring problem. Memetic Computing, 8(3), 211-222. View at Publisher View at Google Scholar
Chakraborty, S., & Nandi, S. (2014). Selective greedy routing: exploring the path diversity in backbone mesh networks. Wireless networks, 20(7), 1995-2017. View at Publisher View at Google Scholar
Ali, A., Qadir, J., & Baig, A. (2015). Learning automata based multipath multicasting in cognitive radio networks. Journal of Communications and Networks, 17(4), 406-418. View at Publisher View at Google Scholar
Xing, H., Qu, R., Bai, L., & Ji, Y. (2014). On minimizing coding operations in network coding based multicast: an evolutionary algorithm. Applied intelligence, 41(3), 820-836. View at Publisher View at Google Scholar
Bistouni, F., & Jahanshahi, M. (2016). Reliability analysis of multilayer multistage interconnection networks. Telecommunication Systems, 62(3), 529-551. View at Publisher View at Google Scholar
Meybodi, M. R. M., & Meybodi, M. R. (2014). Extended distributed learning automata. Applied Intelligence, 41(3), 923-940. View at Publisher View at Google Scholar
Lai, X., Liu, Q., Wang, W., Li, L., Lu, S., & Zhao, Y. (2013). Dynamic game with perfect and complete information based dynamic channel assignment. Applied intelligence, 39(4), 692-704. View at Publisher View at Google Scholar
Kordestani, J. K., Ahmadi, A., & Meybodi, M. R. (2014). An improved Differential Evolution algorithm using learning automata and population topologies. Applied intelligence, 41(4), 1150-1169. View at Publisher View at Google Scholar
Saghiri, A. M., & Meybodi, M. R. (2015). A distributed adaptive landmark clustering algorithm based on mOverlay and learning automata for topology mismatch problem in unstructured peerÃ¢â‚¬ÂtoÃ¢â‚¬Âpeer networks. International Journal of Communication Systems. View at Publisher View at Google Scholar
Prev 1 2 3 4 5 6 Next »

Google Scholar citation report

Citations: 109

Telecommunications System & Management received 109 citations as per Google Scholar report

Telecommunications System & Management

Citations Report

Telecommunications System & Management : Citations & Metrics Report

Important citations

Test, J. E. Fathollah Bistouni & Mohsen Jahanshahi. Chicago

Khadangi, E., Bagheri, A., & Shahmohammadi, A. (2016). Biased sampling from facebook multilayer activity network using learning automata. Applied Intelligence, 45(3), 829-849.

Hasanzadeh, M., & Meybodi, M. R. Soft computing Laboratory, Computer Engineering and Information Technology Department, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.

Meybodi, R. Mehdi Rezapoor Mirsaleh & Mohammad.

Mirsaleh, M. R., & Meybodi, M. R. (2016). A Michigan memetic algorithm for solving the community detection problem in complex network. Neurocomputing, 214, 535-545.

Wang, J., & Shi, W. (2017). Joint multicast routing and channel assignment for multi-radio multi-channel wireless mesh networks with hybrid traffic. Journal of Network and Computer Applications, 80, 90-108.

Behravesha, R., & Jahanshahib, M. (2016). Interference-Aware and Cluster based Multicast Routing in Multi-Radio Multi-Channel Wireless Mesh Networks. Journal of Computer & Robotics, 1.

Moghaddam, A. (2015). Impacts of Channel Switching Overhead on the Performance of Multicast in Wireless Mesh Networks (Doctoral dissertation, YORK UNIVERSITY TORONTO).

Bistouni, F., & Jahanshahi, M. (2015). Formulating broadcast reliability equations on multilayer multistage interconnection networks. The Journal of Supercomputing, 71(11), 4019-4041.

Jahanshahi, M., Dehghan, M., & Meybodi, M. R. (2016). A cross-layer optimization framework for joint channel assignment and multicast routing in multi-channel multi-radio wireless mesh networks. International Journal of Computer Mathematics, 1-29.

Mollakhalili Meybodi, M. R., & Meybodi, M. R. (2014). Extended distributed learning automata. Applied Intelligence, 41(3), 923-940.

Mirsaleh, M. R., & Meybodi, M. R. (2016). A new memetic algorithm based on cellular learning automata for solving the vertex coloring problem. Memetic Computing, 8(3), 211-222.

Chakraborty, S., & Nandi, S. (2014). Selective greedy routing: exploring the path diversity in backbone mesh networks. Wireless networks, 20(7), 1995-2017.

Ali, A., Qadir, J., & Baig, A. (2015). Learning automata based multipath multicasting in cognitive radio networks. Journal of Communications and Networks, 17(4), 406-418.

Xing, H., Qu, R., Bai, L., & Ji, Y. (2014). On minimizing coding operations in network coding based multicast: an evolutionary algorithm. Applied intelligence, 41(3), 820-836.

Bistouni, F., & Jahanshahi, M. (2016). Reliability analysis of multilayer multistage interconnection networks. Telecommunication Systems, 62(3), 529-551.

Meybodi, M. R. M., & Meybodi, M. R. (2014). Extended distributed learning automata. Applied Intelligence, 41(3), 923-940.

Lai, X., Liu, Q., Wang, W., Li, L., Lu, S., & Zhao, Y. (2013). Dynamic game with perfect and complete information based dynamic channel assignment. Applied intelligence, 39(4), 692-704.

Kordestani, J. K., Ahmadi, A., & Meybodi, M. R. (2014). An improved Differential Evolution algorithm using learning automata and population topologies. Applied intelligence, 41(4), 1150-1169.

Saghiri, A. M., & Meybodi, M. R. (2015). A distributed adaptive landmark clustering algorithm based on mOverlay and learning automata for topology mismatch problem in unstructured peerÃ¢â‚¬ÂtoÃ¢â‚¬Âpeer networks. International Journal of Communication Systems.

Awards & Nominations

50+ Million Readerbase

Journal Highlights

Google Scholar citation report

Citations: 109

Telecommunications System & Management peer review process verified at publons

Indexed In

Related Links

Open Access Journals

Citations Report

Telecommunications System & Management : Citations & Metrics Report

Important citations

Test, J. E. Fathollah Bistouni & Mohsen Jahanshahi. Chicago

Khadangi, E., Bagheri, A., & Shahmohammadi, A. (2016). Biased sampling from facebook multilayer activity network using learning automata. Applied Intelligence, 45(3), 829-849.

Hasanzadeh, M., & Meybodi, M. R. Soft computing Laboratory, Computer Engineering and Information Technology Department, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.

Meybodi, R. Mehdi Rezapoor Mirsaleh & Mohammad.

Mirsaleh, M. R., & Meybodi, M. R. (2016). A Michigan memetic algorithm for solving the community detection problem in complex network. Neurocomputing, 214, 535-545.

Wang, J., & Shi, W. (2017). Joint multicast routing and channel assignment for multi-radio multi-channel wireless mesh networks with hybrid traffic. Journal of Network and Computer Applications, 80, 90-108.

Behravesha, R., & Jahanshahib, M. (2016). Interference-Aware and Cluster based Multicast Routing in Multi-Radio Multi-Channel Wireless Mesh Networks. Journal of Computer & Robotics, 1.

Moghaddam, A. (2015). Impacts of Channel Switching Overhead on the Performance of Multicast in Wireless Mesh Networks (Doctoral dissertation, YORK UNIVERSITY TORONTO).

Bistouni, F., & Jahanshahi, M. (2015). Formulating broadcast reliability equations on multilayer multistage interconnection networks. The Journal of Supercomputing, 71(11), 4019-4041.

Jahanshahi, M., Dehghan, M., & Meybodi, M. R. (2016). A cross-layer optimization framework for joint channel assignment and multicast routing in multi-channel multi-radio wireless mesh networks. International Journal of Computer Mathematics, 1-29.

Mollakhalili Meybodi, M. R., & Meybodi, M. R. (2014). Extended distributed learning automata. Applied Intelligence, 41(3), 923-940.

Mirsaleh, M. R., & Meybodi, M. R. (2016). A new memetic algorithm based on cellular learning automata for solving the vertex coloring problem. Memetic Computing, 8(3), 211-222.

Chakraborty, S., & Nandi, S. (2014). Selective greedy routing: exploring the path diversity in backbone mesh networks. Wireless networks, 20(7), 1995-2017.

Ali, A., Qadir, J., & Baig, A. (2015). Learning automata based multipath multicasting in cognitive radio networks. Journal of Communications and Networks, 17(4), 406-418.

Xing, H., Qu, R., Bai, L., & Ji, Y. (2014). On minimizing coding operations in network coding based multicast: an evolutionary algorithm. Applied intelligence, 41(3), 820-836.

Bistouni, F., & Jahanshahi, M. (2016). Reliability analysis of multilayer multistage interconnection networks. Telecommunication Systems, 62(3), 529-551.

Meybodi, M. R. M., & Meybodi, M. R. (2014). Extended distributed learning automata. Applied Intelligence, 41(3), 923-940.

Lai, X., Liu, Q., Wang, W., Li, L., Lu, S., & Zhao, Y. (2013). Dynamic game with perfect and complete information based dynamic channel assignment. Applied intelligence, 39(4), 692-704.

Kordestani, J. K., Ahmadi, A., & Meybodi, M. R. (2014). An improved Differential Evolution algorithm using learning automata and population topologies. Applied intelligence, 41(4), 1150-1169.

Saghiri, A. M., & Meybodi, M. R. (2015). A distributed adaptive landmark clustering algorithm based on mOverlay and learning automata for topology mismatch problem in unstructured peerÃ¢â‚¬ÂtoÃ¢â‚¬Âpeer networks. International Journal of Communication Systems.

Awards & Nominations

50+ Million Readerbase

Journal Highlights

Google Scholar citation report

Citations: 109

Telecommunications System & Management peer review process verified at publons

Indexed In

Related Links

Open Access Journals

Saghiri, A. M., & Meybodi, M. R. (2015). A distributed adaptive landmark clustering algorithm based on mOverlay and learning automata for topology mismatch problem in unstructured peerÃ¢â‚¬ÂtoÃ¢â‚¬Âpeer networks. International Journal of Communication Systems.