Journal of Defense Management
Open Access

ISSN: 2167-0374

+44 1478 350008

Journal of Defense Management : Citations & Metrics Report

Articles published in Journal of Defense Management have been cited by esteemed scholars and scientists all around the world. Journal of Defense Management has got h-index 6, which means every article in Journal of Defense Management has got 6 average citations.

Following are the list of articles that have cited the articles published in Journal of Defense Management.

	2022	2021	2020	2019	2018	2017	2016
Total published articles	33	33	4	5	9	14	20
Conference proceedings	0	0	0	0	0	0	0
Citations received as per Google Scholar, other indexing platforms and portals	85	62	78	37	39	21	6

Journal total citations count	373
Journal impact factor	2.3
Journal 5 years impact factor	3.6
Journal cite score	4.3
Journal h-index	6
Journal h-index since 2019	5

Important citations (315)

Raghavendra s. survey on artificial intelligence. vol. 7(5);2019. View at Publisher View at Google Scholar View at Indexing
Bernal, i. (2020). optimizing engagement simulations through the advanced framework for simulation, integration, and modeling (afsim) software (doctoral dissertation, the ohio state university). View at Publisher View at Google Scholar View at Indexing
Wang, y., jiang, t., & li, y. (2021, october). a hierarchical reinforcement learning method on multi ucav air combat. in 2021 international conference on neural networks, information and communication engineering (vol. 11933, pp. 117-123). spie. View at Publisher View at Google Scholar View at Indexing
Pickering, l., & cohen, k. (2021, june). toward explainable ai—genetic fuzzy systems—a use case. in north american fuzzy information processing society annual conference (pp. 343-354). springer, cham. View at Publisher View at Google Scholar View at Indexing
Bisig, c. r. (2021). modular decentralized genetic fuzzy control for multi-uav slung payloads (doctoral dissertation, university of cincinnati). View at Publisher View at Google Scholar View at Indexing
Jin, x., xu, t., zhou, f., & wu, y. (2019, august). technical direction analysis on multi-branch large-sample wargaming: a hybrid intelligence based solution to future command & control. in 2019 11th international conference on intelligent human-machine systems and cybernetics (ihmsc) (vol. 2, pp. 322-325). ieee. View at Publisher View at Google Scholar View at Indexing
Cohen, k., & kastner, j. project 3: bio-inspired artificial intelligence. View at Publisher View at Google Scholar View at Indexing
Sathyan, a., yuan, w., fleck, d. e., bonnette, s., diekfuss, j. a., martis, m., ... & cohen, k. (2021, june). genetic fuzzy methodology to predict time to return to play from sports-related concussion. in north american fuzzy information processing society annual conference (pp. 380-390). springer, cham. View at Publisher View at Google Scholar View at Indexing
Kastner, j., kumar, m., & sridhar, m. s. project: bio-inspired optimization of the multiple traveling salesman problem. View at Publisher View at Google Scholar View at Indexing
Bede, b., & williams, a. (2021, june). takagi-sugeno fuzzy systems with triangular membership functions as interpretable neural networks. in north american fuzzy information processing society annual conference (pp. 14-25). springer, cham. View at Publisher View at Google Scholar View at Indexing
Ijebor, c. (2020). artificially intelligent warfare and the revolution in military affairs. View at Publisher View at Google Scholar View at Indexing
Haldane, a. g., & turrell, a. e. (2018). an interdisciplinary model for macroeconomics. oxford review of economic policy, 34(1-2), 219-251. View at Publisher View at Google Scholar View at Indexing
Moon, i. c., jung, m., & kim, d. (2020). modeling and simulation on one-vs-one air combat with deep reinforcement learning. journal of the korea society for simulation, 29(1), 39-46. View at Publisher View at Google Scholar View at Indexing
Deng, b., & collier, t. (2019). increasing relative angular velocity for air combat in zero gravity. aerospace systems, 2(2), 83-95. View at Publisher View at Google Scholar View at Indexing
Kim, d., shin, y., an, k. s., kim, y. g., moon, i. c., & bae, j. w. (2021). virtual-constructive simulation interoperation for aircombat battle experiment. journal of the korea society for simulation, 30(1), 139-152. View at Publisher View at Google Scholar View at Indexing
Chen, y., sun, x., liu, d., & li, s. (2019, october). optimal guidance method for ucav in close free air combat. in 2019 ieee international conferences on ubiquitous computing & communications (iucc) and data science and computational intelligence (dsci) and smart computing, networking and services (smartcns) (pp. 356-360). ieee. View at Publisher View at Google Scholar View at Indexing
Wu, a., yang, r., liang, x., zhang, j., qi, d., & wang, n. (2021). visual range maneuver decision of unmanned combat aerial vehicle based on fuzzy reasoning. international journal of fuzzy systems, 1-18. View at Publisher View at Google Scholar View at Indexing
Shukla, d. (2020). learning and evolving flight controller for fixed-wing unmanned aerial systems (doctoral dissertation, university of kansas). View at Publisher View at Google Scholar View at Indexing
Büyüksava?, b. (2021). an analysis on unmanned combat aerial vehicles (ucavs) from the perspective of domestic audience costs (doctoral dissertation). View at Publisher View at Google Scholar View at Indexing
Sathyan, a., cohen, k., & ma, o. (2020). genetic fuzzy based scalable system of distributed robots for a collaborative task. frontiers in robotics and ai, 7. View at Publisher View at Google Scholar View at Indexing
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