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)

Türk, a. (2020). an investigation for maturity level and roadmap of unmanned aerial vehicle technologies in turkey. View at Publisher View at Google Scholar View at Indexing
Ortlieb, m., & adolf, f. m. (2020, october). rule-based path planning for unmanned aerial vehicles in non-segregated air space over congested areas. in 2020 aiaa/ieee 39th digital avionics systems conference (dasc) (pp. 1-9). ieee. View at Publisher View at Google Scholar View at Indexing
Sathyan, a., harrison, h. s., kiefer, a. w., silva, p. l., macpherson, r., & cohen, k. (2019, june). genetic fuzzy system for anticipating athlete decision making in virtual reality. in international fuzzy systems association world congress (pp. 578-588). springer, cham. View at Publisher View at Google Scholar View at Indexing
Sathyan, a. (2017). intelligent machine learning approaches for aerospace applications (doctoral dissertation, university of cincinnati). View at Publisher View at Google Scholar View at Indexing
Su, b., zhao, h., qi, t., liu, x., & yu, r. (2019, september). research on architecture of intelligent command and control system. in 2019 international conference on virtual reality and intelligent systems (icvris) (pp. 362-364). ieee. View at Publisher View at Google Scholar View at Indexing
Rowe, a., spriggs, s., boyer, j., & hughes, t. (2018). fusion framework: research testbed for human-autonomy teaming. infoscitex beavercreek. View at Publisher View at Google Scholar View at Indexing
Jin, x. (2017). simulation game system: a possible way to realize intelligent command and control. in advances in computer science and ubiquitous computing (pp. 560-565). springer, singapore. View at Publisher View at Google Scholar View at Indexing
Krupiy, t. (2018). regulating a game changer: using a distributed approach to develop an accountability framework for lethal autonomous weapon systems. geo. j. int'l l., 50, 45. View at Publisher View at Google Scholar View at Indexing
Fleck, d. e., ernest, n., asch, r., adler, c. m., cohen, k., yuan, w., ... & babcock, l. (2021). predicting post-concussion symptom recovery in adolescents using a novel artificial intelligence. journal of neurotrauma, 38(7), 830-836. View at Publisher View at Google Scholar View at Indexing
Israelsen, b. w., ahmed, n., center, k., green, r., & bennett jr, w. (2017). adaptive simulation-based training of ai decision-makers using bayesian optimization. arxiv preprint arxiv:1703.09310. View at Publisher View at Google Scholar View at Indexing
Zhang, l. a., xu, j., gold, d., hagen, j., kochhar, a. k., lohn, a. j., & osoba, o. a. (2020). air dominance through machine learning: a preliminary exploration of artificial intelligence-assisted mission planning. rand corporation santa monica. View at Publisher View at Google Scholar View at Indexing
Liu, j., zhao, m., li, g., & chen, j. (2020). multiple linear regression prediction and wavelet neural network based intelligent online tuning control method. ieee access, 8, 160684-160696. View at Publisher View at Google Scholar View at Indexing
Kang, y., liu, z., pu, z., yi, j., & zu, w. (2019, november). beyond-visual-range tactical game strategy for multiple uavs. in 2019 chinese automation congress (cac) (pp. 5231-5236). ieee. View at Publisher View at Google Scholar View at Indexing
Heydarian pashakhanlou, a. (2019). ai, autonomy, and airpower: the end of pilots?. defence studies, 19(4), 337-352. View at Publisher View at Google Scholar View at Indexing
Yang, z., sun, z., piao, h., zhao, y., zhou, d., kong, w., & zhang, k. (2020). an autonomous attack guidance method with high aiming precision for ucav based on adaptive fuzzy control under model predictive control framework. applied sciences, 10(16), 5677. View at Publisher View at Google Scholar View at Indexing
Noël, j. c. (2018). will artificial intelligence revolutionize the art of war?. politique etrangere, (4), 159-170. View at Publisher View at Google Scholar View at Indexing
Ludwig, j., & presnell, b. (2019, july). developing an adaptive opponent for tactical training. in international conference on human-computer interaction (pp. 532-541). springer, cham. View at Publisher View at Google Scholar View at Indexing
Lee, b. y., han, s., park, h., & tahk, m. j. (2017, july). one-versus-one air combat algorithm considering direction of the lift vector. in 2017 25th mediterranean conference on control and automation (med) (pp. 265-270). ieee. View at Publisher View at Google Scholar View at Indexing
Wallace, r. (2020). cognitive instabilities under contention, friction, and the fog-of-war challenge the ai revolution. connection science, 32(3), 264-279. View at Publisher View at Google Scholar View at Indexing
Kiefer, a. (2017). moving from biology to behavior i: leveraging phenotypic plasticity to train beyond resiliency and toward antifragility in sport. book of, 74. View at Publisher View at Google Scholar View at Indexing
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