J1. MITTAS N., ATHANASIADES M., ANGELIS L. (2008). Improving Analogy – Based Software Cost Estimation by a Resampling Method. Information and Software Technology (Elsevier) 50, 221–230 (IF: 3.862).

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J2. MITTAS N., ANGELIS L.  (2008). Comparing Cost Prediction Models by Resampling Techniques. Journal of Systems and Software (Elsevier). Special Issue on Software Process and Product Measurement, 81, 616–632 (IF: 3.514).

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J3. MITTAS N., ANGELIS L. (2010). Visual Comparison of Software Cost Estimation Models by Regression Error Characteristic Analysis. Journal of Systems and Software (Elsevier), 83, 621-637 (IF: 3.514).

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J4. MITTAS N., ANGELIS L. (2010). LSEbA: Least Squares Regression and Estimation by Analogy in a Semi-Parametric Model for Software Cost Estimation. Empirical Software Engineering (Springer), 15 (5), 523-555 (IF: 3.762).

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J5. MITTAS N., ANGELIS L. (2012). A Permutation Test based on Regression Error Characteristic Curves for Software Cost Estimation Models. Empirical Software Engineering (Springer). Special Issue on Repeatable Results in Effort Estimation, 17 (1-2), 34-61 (IF: 3.762).

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J6. MITTAS N. (2012). Evaluating the Performances of Software Cost Estimation Models through Prediction Intervals. Journal of Engineering Science and Technology Review, 4(3), 266-270.

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J7. MITTAS N., ANGELIS L. (2013). Ranking and Clustering Software Cost Estimation Models through a Multiple Comparisons Algorithm. IEEE Transactions on Software Engineering, 39(4), 537-551 (IF: 9.322).

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J8. MITTAS N., MAMALIKIDIS I., ANGELIS L. (2015). A Framework for Comparing Multiple Cost Estimation Methods using an Automated Visualization Toolkit. Information and Software Technology (Elsevier), 57, 310-328 (IF: 3.862). 

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J9. MITTAS N., PAPATHEOCHAROUS E., ANGELIS L., ANDREOU A. (2015). Integrating Non-parametric Models with Linear Components for Producing Software Cost Estimations. Journal of Systems and Software (Elsevier), 99, 120-134 (IF: 3.514). 

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J10. BOHLOULI M., MITTAS N., KAKARONTZAS G., THEODOSIOU T., ANGELIS L., FATHI M. (2017). Competence Assessment as an Expert System for Human Resource Management: A Mathematical Approach. Expert Systems with Applications (Elsevier), 70, 83-102 (IF: 8.665). 

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J11. PAPOUTSOGLOU M., AMPATZOGLOU A., MITTAS N., ANGELIS L. (2019). Extracting Knowledge from on-line Sources for Software Engineering Labor Market: A Mapping Study. IEEE Access, 7, 157595-157613 (IF: 3.746).

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J12. MITTAS N., ANGELIS L. (2020). Data-driven Benchmarking in Software Development Effort Estimation: The Few Define the Bulk. Journal of Software: Evolution and Process (Wiley), e2258 (IF: 1.864).

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J13. TASSIS, P., TSAKMAKIDIS I., NAGL V., REISINGER N., TZIKA E., GRUBER-DORNINGER C., MICHOS I., MITTAS N., BIASOURA A., SCHATZMAYR D. (2020). Individual and Combined In Vitro Effects of Deoxynivalenol and Zearalenone on Boar Semen. Toxins (MDPI), 12(8), 495 (IF: 5.075).

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J14. ORFANIDIS S., PAPATHANASIOU V., MITTAS N., THEODOSIOU T., RAMFOS A., TSIOLI S., KOSMIDOU M., KAFAS A., MYSTIKOU A., PAPADIMITRIOU A. (2020). Further improvement, validation, and application of CymoSkew biotic index for the ecological status assessment of the Greek coastal and transitional waters. Ecological Indicators (Elsevier), 118, 106727 (IF: 6.263).

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J15. AMANATIDIS T., MITTAS N., MOSCHOU A., CHATZIGEORGIOU A., AMPATZOGLOU A., ANGELIS L. (2020). Evaluating the agreement among technical debt measurement tools: building an empirical benchmark of technical debt liabilities. Empirical Software Engineering (Springer), 1-44 (IF: 3.762).

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J16. AMPATZOGLOU A., MITTAS N., TSINTZIRA A., AMPATZOGLOU A., ARVANITOU E., CHATZIGEORGIOU A., AVGERIOU P., ANGELIS L. (2020). Exploring the Relation between Technical Debt Principal and Interest: An Empirical Approach. Information and Software Technology (Elsevier), 128, 106391 (IF: 3.862).

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J17. SPANOS T., MITTAS N., CHATZICHRISTOU C., DERMENTZIS K., TOPI V., SPANOU D., ENE A., BOGDEVICI O., TEODOROF L., ZUBCOV E. (2021). Evaluation of Potable Groundwater Quality Using Environmetrics. The case of Nestos and Strymon River Regions, Northern Greece. Journal of Engineering Science and Technology Review, 4(1), 114-118.

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J18. TSIOURIS V., TASSIS P., RAJ J., MANTZIOS T., KISKINIS K., VASILEVIC M., DELIC N., PETRIDOU E., BRELLOU G., POLIZOPOULOU Z., MITTAS N., GEORGOPOULOU I. (2021). Investigation of a Novel Multicomponent Mycotoxin Detoxifying Agent in Amelioration of Mycotoxicosis Induced by Aflatoxin-B1 and Ochratoxin A in Broiler Chicks. Toxins (MDPI), 13(6), 367 (IF: 5.075).

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J19. VIZIRIANAKIS I., CHATZOPOULOY F., PAPAZOGLOU A., KARAGIANNIDIS E., SOFIDIS G., STALIKAS N., STEFOPOULOS C., KYRITSIS K., MITTAS N., THEODOROULA N., LAMPRI A., MEZARLI E., KARTAS A., CHATZIDIMITRIOU D., PAPPA-KONIDARI A., ANGELIS L., KARVOUNIS H., SIANOS G. (2021). The GEnetic Syntax Score: A Genetic Risk Assessment Implementation Tool Grading the Complexity of Coronary Artery Disease. Rationale and Design of the GESS Study. BMC Cardiovascular Disorders, 21(1), 1-9 (IF: 2.174).

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J20. WONG W., MITTAS N., ARVANITOU E., Li Y. (2021). A Bibliometric Assessment of Software Engineering Themes, Scholars and Institutions (2013-2020). Journal of Systems and Software, 180, 111029 (Elsevier) (IF: 3.514).

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J21. GEORGIOU K., MITTAS N., MAMALIKIDIS I., MITROPOULOS A., ANGELIS L. (2021). Analyzing the Roles and Competence Demand for Digital Human Capital in Oil and Gas 4.0 Era. IEEE Access, 9, 151306-141326 (IF: 3.746).

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J22. TSOUKALAS D., MITTAS N., CHATZIGEORGIOU A., KEHAGIAS D., AMPATZOGLOU A., AMANATIDIS T., ANGELIS L. (2021). Machine Learning for Technical Debt Identification. IEEE Transactions on Software Engineering (IF: 9.322).

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J23. GEORGIOU K., MITTAS N., CHATZIGEORGIOU A., ANGELIS L. (2021) An Empirical Study of COVID-19 related Posts on Stack Overflow: Topics and Technologies. Journal of Systems and Software, 182, 111089 (Elsevier) (IF: 3.514).

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24. MITTAS N., CHATZOPOULOU F., KYRITSIS K., PAPAGIANNOPOULOS C., THEODOROULA N., PAPAZOGLOU A., KARAGIANNIDIS E., SOFIDIS G., MOYSIDIS D., STALIKAS N., PAPA A., CHATZIDIMITRIOU D., SIANOS G., ANGELIS L., VIZIRIANAKIS I.  (2022).  A Risk-Stratification Machine Learning Framework for the Prediction of Coronary Artery Disease Severity: Insights from the GESS Trial. Frontiers in cardiovascular medicine, 8, 812182 (IF: 5.846).

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25. CHATZOPOULOU F., KYRITSIS K., PAPAGIANNOPOULOS C., GALATOU C., MITTAS N., THEODOROULA N., PAPAZOGLOU A., KARAGIANNIDIS E., CHATZIDIMITRIOU M., PAPA A., SIANOS G., ANGELIS L., CHATZIDIMITRIOU D., VIZIRIANAKIS I. (2022). Dissecting miRNA–Gene Networks to Map Clinical Utility Roads of Pharmacogenomics-Guided Therapeutic Decisions in Cardiovascular Precision Medicine. Cells, 11(4), 607 (MDPI) (IF: 7.666).

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26. TASSIS P., REISINGER N., NAGL V., TZIKA, E., SCHATZMAYR D., MITTAS N., BASIOURA A., MICHOS I., TSAKMAKIDIS I. (2022). Comparative Effects of Deoxynivalenol, Zearalenone and Its Modified Forms De-Epoxy-Deoxynivalenol and Hydrolyzed Zearalenone on Boar Semen In Vitro. Toxins, 14(7), 497 (MDPI) (IF: 5.075).

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27. MITTAS N., MITROPOULOS A. (2022). A Data-Driven Framework for Probabilistic Estimates in Oil and Gas Project Cost Management: A Benchmark Experiment on Natural Gas Pipeline Projects. Computation, 10(5), 75 (MDPI) (Tracked for IF).

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