Most-cited papers on clinical empirical identifies prioritize investment

Ranked by citation count via OpenAlex. Citations update on a rolling basis; list regenerates every 24h.

1. Clinical Findings and Pain Symptoms as Potential Risk Factors for Chronic TMD: Descriptive Data and Empirically Identified Domains from the OPPERA Case-Control Study

   2011 · Journal of Pain · Ohrbach, Richard, Fillingim, Roger B., Mulkey, Flora et al.

   365 cited

2. Predictors identifying those at increased risk for STDs: a theory-guided review of empirical literature and clinical guidelines

   2014 · International Journal of STD & AIDS · Falasinnu, Titilola, Gilbert, Mark, Salway, Travis et al.

   38 cited

3. Clinical parameters predicting failure of empirical antibacterial therapy in early onset neonatal sepsis, identified by classification and regression tree analysis

   2009 · BMC Pediatrics · Metsvaht, Tuuli, Pisarev, Heti, Ilmoja, Mari‐Liis et al.

   31 cited

4. The Effort to Identify Empirically Supported Psychological Treatments and Its Implications for Clinical Research, Practice, and Training: Commentary on Papers by Lester Luborsky and Hans H. Strupp

   2001 · Psychoanalytic Dialogues · Blatt, Sidney J.

   22 cited

5. Adu, K.K. and Adjei, E. (2018). The phenomenon of data loss and cyber security issues in Ghana. Foresight, 20(2), 150–61. Ahmed, M.T.U., Bhuiya, N.I. and Rahman, M.M. (2017). A secure enterprise architecture focused on security and technology-transformation (SEAST), The 12th International Conference for Internet Technology and Secured Transactions, (ICITST-2017), Cambridge, UK, 11–4/12/2017. Alanazi, S.T., Anbar, M., Ebad, S.A., Karuppayah, S. and Al-Ani, H.A. (2020). Theory-based model and prediction analysis of information security compliance behavior in the Saudi healthcare sector. Symmetry, 12(9), 1544. DOI: 10.3390/sym12091544 Alateyah, S.A., Crowder, R.M. and Wills, G.B. (2013). Identified factors affecting the citizen’s intention to adopt e-government in Saudi Arabia. World Academy of Science, Engineering and Technology, 7(8), 904–12. Antonino, P., Duszynski, S., Jung, C. and Rudolph, M. (2010). Indicator-based architecture-level security evaluation in a service-oriented environment. In: The Fourth European Conference on Software Architecture: Copenhagen, Denmark, 23–26/08/2010. DOI: 10.1145/1842752.1842795. Chaturvedi, M., Gupta, M. and Bhattacharya, J. (2008). Cyber Security Infrastructure in India: A Study, Emerging Technologies in E-Government. Available at: http://www.csi-sigegov.org/emerging_pdf/9_70-84.pdf (Accessed on 15/11/2020). Dalol, M.H. (2018). Effectiveness of Accounting Information Systems in Light of Development of IT Infrastructure and Information Security. Master’s Dissertation, The Islamic University of Gaza, Gaza, Palestine. Dooley, K. (2001). Designing Large Scale LANs: Help for Network Designers. USA: O'Reilly Media. Ebad, S. (2018a) An exploratory study of ICT projects failure in emerging markets. Journal of Global Information Technology Management, 21(2), 139–60. DOI: 10.1080/1097198X.2018.1462071. Ebad, S. (2018b). The influencing causes of software unavailability: A case study from industry. Software Practice and Experience, 48(5), 1056–76. DOI: 10.1002/spe.2569. Hashizume, K., Rosado, D.G., Fernández-Medina, E. and Fernandez, E.B. (2013). An analysis of security issues for cloud computing. Journal of Internet Services and Applications, 4(5), n/a. DOI: 10.1186/1869-0238-4-5. Kirby, L. (2015). Beyond Cyber Security: Protecting Your IT Infrastructure. Available at https://uptimeinstitute.com/images/Documents/ProtectingYourITInfrastructure.pdf (accessed on 15/11/2020). Lethbridge, T.C., Sim, S.E. and Singer, J. (2005). Studying software engineers: Data collection techniques for software field studies. Empirical Software Engineering, 10(3), 311–41. Marrone, M. and Kolbe, L.M. (2011). Impact of IT service management frameworks on the IT organization. Business and Information Systems Engineering, 3(1), 5–18. Mastelic, T. and Brandic, I. (2013). TimeCap: Methodology for comparing IT infrastructures based on time and capacity metrics. In: The IEEE 6th International Conference on Cloud Computing, 131–8, Santa Clara, CA, USA, 28/06–03/07/2013. Mimura, M. and Suga, Y. (2019). Filtering malicious JavaScript code with Doc2Vec on an imbalanced dataset. In: The 14th Asia Joint Conference on Information Security (AsiaJCIS), Kobe, Japan, 24–31/08/2019. Pearlson, K.E., Saunders, C.S. and Galletta, D.F. (2019). Managing and Using Information Systems. 5th edition, USA: Wiley. Popp, K. and Meyer, R. (2011). Profit from Software Ecosystems Models, Ecosystems and Partnerships in the Software Industry. Norderstedt, Germany: Books on Demand. Priem, R. (2020). Distributed ledger technology for securities clearing and settlement: Benefits, risks, and regulatory implications. Financial Innovation, 6(11), n/a. DOI: 10.1186/s40854-019-0169-6. Rabii, L. and Abdelaziz, D. (2015). Comparison of e-readiness composite indicators, The 15th International Conference on Intelligent Systems Design and Applications (ISDA), Marrakech, Morocco, 14–16/12/2015. Sanchez-Nielsen, E., Padron-Ferrer, A. and Marreo-Estevez, F. (2011). A multi-agent system for incident management solutions on IT infrastructures. In: The 14th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2011), La Laguna, Spain, 07–11/11/2011. Schoenfisch, J, Meilicke, C., Stülpnagel, J.V. and Ortmann, J (2018). Root cause analysis in IT infrastructures using ontologies and abduction in Markov logic networks. Information Systems, 74(2), 103–16. Shang, S. and Seddon, P.B. (2000). A comprehensive framework for classifying the benefits of ERP systems. In: The 2000 American Conference of Information Systems, Long Beach, California, 10–13/08/2000. Shoffner, M., Owen, P., Mostafa, J., Lamm, B., Wang, X., Schmitt, C.P. and Ahalt S.C. (2013). The secure medical research workspace: An IT infrastructure to enable secure research on clinical data. Clinical and Translational Science, 6 (3), 222–5. Shrivastava, A.K. (2015). The impact assessment of IT Infrastructure on information security: a survey report. In: International Conference on Inf

   2021 · Scientific Journal of King Faisal University Basic and Applied Sciences · Khoufi, Emad Al

   21 cited

6. Preliminary Results of a Multicenter, International, Retrospective, Study to Validate a Clinical Prediction Rule (CPR) to Identify Critically-Ill Patients at Risk of Invasive Candidiasis (IC) for TReatment with Empirical Antifungal Therapy (TREAT Study)

   2008 · 46th Annual Meeting · Ostrosky‐Zeichner, Luis

   7 cited