Tsikerdekis, M. and S. Zeadally, “Detecting Online Content Deception”, IT Professional, vol. 22, no. 2, pp. 35–44, 2020, issn: 1520-9202. doi: 10.1109/MITP.2019.2961638. Impact Factor: 2.424 [pdf]

Zeadally, S. and M. Tsikerdekis, “Securing Internet of Things (IoT) with machine learning”, International Journal of Communication Systems, vol. 33, no. 1, e4169, 2020, issn: 10745351. doi: 10.1002/dac.4169. [Online]. Available: Impact Factor: 1.278 [pdf]

Hao, Q. and M. Tsikerdekis, “How Automated Feedback is Delivered Matters: Formative Feedback and Knowledge Transfer”, in 2019 IEEE Frontiers in Education Conference (FIE), Cincinatti OH: IEEE, 2019, pp. 1–6, isbn: 978-1-7281-1746-1. doi: 10.1109/FIE43999.2019.9028686. [pdf]

Hao, Q., D. ℍ. Smith IV, ℕ. Iriumi, M. Tsikerdekis, and A. J. Ko, “A Systematic Investigation of Replications in Computing Education Research”, ACM Transactions on Computing Education, vol. 19, no. 4, pp. 1–18, 2019, issn: 19466226. doi: 10.1145/3345328. [Online]. Available: RG Journal Impact: 1.67 [pdf]

Tsikerdekis, M., T. Morse, ℂ. Dean, and J. ℝuffin, “A taxonomy of features for preventing identity deception in online communities and their estimated efficacy”, Journal of Information Security and Applications, vol. 47, pp. 363–370, 2019, issn: 22142126. doi: 10.1016/j.jisa.2019.06.002. [Online]. Available: Impact Factor: 3.17 [pdf]

Tsikerdekis, M., S. Zeadally, A. Schlesener, and N. Sklavos, “Approaches for Preventing Honeypot Detection and Compromise”, in 2018 Global Information Infrastructure and Networking Symposium (GIIS), Thessaloniki, Greece: IEEE, 2018, pp. 1–6, isbn: 978-1-5386-7272-3. doi: 10.1109/GIIS.2018.8635603 [pdf]

ℍeller, L. and M. Tsikerdekis, “Selective Equation Constructor: A Scalable Genetic Algorithm”, in IEEE Innovations in Intelligent Systems and Applications (INISTA), 2018, pp. 1–10, isbn: 978-1-5386-5150-6. doi: 10.1109/INISTA.2018.8466278. [pdf]

Tsikerdekis, M., “Persistent code contribution: a ranking algorithm for code contribution in crowdsourced software”, Empirical Software Engineering, vol. 23, no. 4, pp. 1871–1894, 2018, issn: 15737616. doi: 10.1007/s10664-017-9575-4. Impact Factor: 3.275 [pdf]

Tsikerdekis, M. and N. Yu, “Unit Support, Past Experience and Researcher Attitude for Intra-institutional Research Collaboration: Survey Study in a US Doctoral/Research University”, Higher Education Policy, vol. 31, no. 4, pp. 559–581, 2018, issn: 0952-8733. doi: 10.1057/s41307-017-0071-7. Impact Factor: 0.727 [pdf]

Tsikerdekis, M., “Cumulative experience and recent behavior and their relation to content quality on Wikipedia”, Interacting with Computers, vol. 29, no. 5, pp. 737–754, 2017, issn: 09535438. doi: 10.1093/iwc/iwx010. Impact Factor: 1.410 [pdf]

Tsikerdekis, M., “Real-Time Identity-Deception Detection Techniques for Social Media: Optimizations and Challenges”, IEEE Internet Computing, vol. 22, no. 5, pp. 35–45, 2018, issn: 1089-7801. doi: 10.1109/MIC.2017.265102442. [Online]. Available: Impact Factor: 1.4 [link]

Tsikerdekis, M., “Identity Deception Prevention Using Common Contribution Network Data”, IEEE Transactions on Information Forensics and Security, vol. 12, no. 1, pp. 188–199, 2017, issn: 15566013. doi: 10.1109/TIFS.2016.2607697. Impact Factor: 2.441 [pdf]

Nemer, D. and M. Tsikerdekis, “Political engagement and ICTs: Internet use in marginalized communities”, Journal of the Association for Information Science and Technology, vol. 68, no. 6, pp. 1539–1550, 2017, issn: 23301643. doi: 10.1002/asi.23779. Impact Factor: 1.850 [link]

Tsikerdekis, M., “Designing a Successful Collaborative Wiki”, International Journal of Technology and Human Interaction, vol. 13, no. 2, pp. 22–39, 2017, issn: 1548-3908. doi: 10.4018/IJTHI.2017040102. RG Impact Factor: 0.67. [link]

Tsikerdekis, M., “Bayesian Inference”, in Modern Statistical Methods for HCI, Robertson, J. and M. C. Kaptein, Eds., London, U.K.: Springer, 2016, ch. 7, pp. 173–197, isbn: 978-3-319-26631-2. doi: 10.1007/978-3-319-26633-6. arXiv: arXiv:1011.1669v3. [Online]. Available: [link]

Tsikerdekis, M., “Personal communication networks and their positive effects on online collaboration and outcome quality on Wikipedia”, Journal of the Association for Information Science and Technology, vol. 67, no. 4, pp. 812–823, 2016, issn: 23301643. doi: 10.1002/asi.23429. Impact Factor: 2.23 [pdf]

Tsikerdekis, M. and S. Zeadally, “Detecting and Preventing Online Identity Deception in Social Networking Services”, IEEE Internet Computing, vol. 19, no. 3, pp. 41–49, 2015, issn: 10897801. doi: 10.1109/MIC.2015.21. Impact Factor: 2.0. (Selected as the Feature Article (for July 2015) by IEEE Computer Society Special Technical Committee on Social Networking.) [pdf]

Truta, T. M., M. Tsikerdekis, and S. Zeadally, “Privacy in Social Networks”, in Privacy in a Digital, Networked World, Zeadally, S. and M. Badra, Eds., London, U.K.: Springer, 2012, p. 87, isbn: 9781608458622. doi: 10.2200/S00408ED1V01Y201203DMK004 A. [link]

Tsikerdekis, M. and S. Zeadally, “Online deception in social media”, Communications of the ACM, vol. 57, no. 9, pp. 72–80, 2014, issn: 00010782. doi: 10.1145/2629612. Impact Factor: 2.863 [pdf]

Tsikerdekis, M. and S. Zeadally, “Multiple account identity deception detection in social media using nonverbal behavior”, IEEE Transactions on Information Forensics and Security, vol. 9, no. 8, pp. 1311–1321, 2014, issn: 15566013. doi: 10.1109/TIFS.2014.2332820. Impact Factor: 2.065 [pdf]

Tsikerdekis, M., “The effects of perceived anonymity and anonymity states on conformity and groupthink in online communities: A Wikipedia study”, Journal of the American Society for Information Science and Technology, vol. 64, no. 5, pp. 1001–1015, 2013, issn: 15322882. doi: 10.1002/asi.22795. arXiv: 0803.1716. Impact Factor: 2.081 [pdf]

Tsikerdekis, M., “Dynamic voting interface in social media: Does it affect individual votes?”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Boas, P. v. E., F. C. A. Groen, G. F. Italiano, J. Nawrocki, and H. Sack, Eds., vol. 7741 LNCS, Springer Berlin Heidelberg, 2013, pp. 552–563, isbn: 9783642358425. doi: 10.1007/978-3-642-35843-2_47. Rank: B (CORE2014) [link]

Tsikerdekis, M., “Pro/Con Lists and their Use in Group Decision Support Systems for Reducing Groupthink”, INFOCOMP Journal of Computer Science, vol. 11, no. 2, pp. 10–20, 2012. [pdf]

Tsikerdekis, M., “The choice of complete anonymity versus pseudonymity for aggression online.”, eMinds International Journal on HumanComputer Interaction, vol. 2, no. 8, pp. 35–57, 2012, issn: 9728939523 [pdf]

Tsikerdekis, M., “Engineering anonymity to reduce aggression online”, in IADIS International Conference - Interfaces and Human Computer Interaction, Blashki, K., Ed., IADIS, 2011, pp. 463–467, isbn: 9789728939526.

Note: Impact factors, h5-index, acceptance rates are taken at the time when manuscripts were submitted for review.