2023

• Guerra-García, C., Nikiforova, A., Jiménez, S., Perez-Gonzalez, H. G., Ramírez-Torres, M., & Ontañon-García, L. (2023). ISO/IEC 25012-based methodology for managing data quality requirements in the development of information systems: Data quality by design. Data & Knowledge Engineering, 102152, https://doi.org/10.1016/j.datak.2023.102152, Q2, Impact Factor: 1.5, CiteScore: 4.9
• Nikiforova, A., Rizun, N., Ciesielska, M., Alexopoulos, C., Miletič, A.(2023). Towards High-Value Datasets determination for data-driven development: a systematic literature review. In: Lindgren,I., Csáki, C., Kalampokis, E., Janssen, M.,, Viale Pereira,G.,Virkar, S., Tambouris, E., Zuiderwijk, A.Electronic Government. EGOV 2023. Lecture Notes in Computer Science. Springer, Cham, (forthcoming, pre-print available -> https://doi.org/10.48550/arXiv.2305.10234)
• McBride, K., Nikiforova, A., and Lnenicka, M. (2023) ‘The Role of Open Government Data and Co-Creation in Crisis Management: Initial Conceptual Propositions from the COVID-19 Pandemic’, Information Polity, vol. Pre-press, 10.3233/IP-220057 Q1 (Communication, Geography, Planning and Development, Sociology and Political Science), IF: 2.784, CiteScore: 4.4
• Nikiforova, A., Alexopoulos, C., Rizun, N., Ciesielska, M. (2023) Identification of High-Value Dataset determinants: is there a silver bullet for efficient sustainability-oriented data-driven development? In DG. O 2023: The 24th Annual International Conference on Digital Government Research,
• https://doi.org/10.1145/3598469.3598556
• Nikiforova, A., Draheim, D., Taveter, K., Bharosa, N. (2023). PPPS’2023 – Proactive and Personalised Public Services: Searching for Meaningful Human Control in Algorithmic Government. EGOV-CeDEM-ePart.
• Nikiforova, A. (2023). Open Data Hackathon as a Tool for Increased Engagement of Generation Z: To Hack or Not to Hack?. In: Ortiz-Rodríguez, F., Tiwari, S., Sicilia, MA., Nikiforova, A. (eds) Electronic Governance with Emerging Technologies. EGETC 2022. Communications in Computer and Information Science, Springer, Cham. https://doi.org/10.1007/978-3-031-22950-3_13
• Lacagnina, C., David, R., Nikiforova, A., Kuusniemi, M. E., Cappiello, C., Biehlmaier, O., Wright, L., Schubert, C., Bertino, A., Thiemann, H., & Dennis, R. (2023). Towards a data quality framework for EOSC. Zenodo. https://doi.org/10.5281/zenodo.7515816
• Nikiforova, A., Daskevics, A. and Azeroual, O. (2023), “NoSQL Security: Can My Data-driven Decision-making Be Influenced from Outside?“, Visvizi, A., Troisi, O. and Grimaldi, M. (Ed.) Big Data and Decision-Making: Applications and Uses in the Public and Private Sector (Emerald Studies in Politics and Technology), Emerald Publishing Limited, Bingley, pp. 59-73. https://doi.org/10.1108/978-1-80382-551-920231005
• Nikiforova, A. (2023). Data Security as a Top Priority in the Digital World: Preserve Data Value by Being Proactive and Thinking Security First. In: Visvizi, A., Troisi, O., Grimaldi, M. (eds) Research and Innovation Forum 2022. RIIFORUM 2022. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-031-19560-0_1
• Chang, V., Marshall, R., Xu, Q. A., & Nikiforova, A. (2023). E-commerce assistant application incorporating machine learning image classification. International Journal of Business and Systems Research, 17(1), 1-26, https://doi.org/10.1504/IJBSR.2023.127711
• Shao, D., Ishengoma, F.R., Alexopoulos, C., Saxena, S., Nikiforova, A. and Matheus, R. (2023), “Integration of IoT into e-government”, Foresight, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/FS-04-2022-0048, Q2 (Business and International Management, Economics, Econometrics and Finance), IF: 1.581, CiteScore: 3.1
• Nikiforova, A., Flores, M. A., & Lytras, M. D. (2022). The role of open data in the transformation to Society 5.0: a resource or a tool for SDG-compliant Smart Living? arXiv preprint arXiv:2206.11784, In Smart Cities and the Next Generation: Empowering Communities, Limitless Innovation, Emerald Publishing Limited, 2023, doi:10.1108/978-1-80455-994-920231011 (accepted, in production)
• Azeroual O., Nikiforova A., Sha K. (2023) Overlooked Aspects of Data Governance: Workflow Framework For Enterprise Data Deduplication
• Bötticher A., Nikiforova A., Ruhland J., Kettemann M. (2023), Reframing Political Power in the Digital Constellation: Taking Technopolitics Seriously, Future Law Working Paper 2023-2, Department of Theory and Future of Law, University of Innsbruck, Austria

2022

• Lnenicka, M., Nikiforova, A., Luterek, M., Azeroual, O., Ukpabi, D., Valtenbergs, V., Machova, R. (2022) Transparency of open data ecosystems in smart cities: definition and assessment of the maturity of transparency in 22 smart cities, Sustainable Cities and Society, 103906, https://doi.org/10.1016/j.scs.2022.103906, Q1, Impact Factor: 7.587, SNIP: 2.347, CiteScore: 10.7
• Lněnička, M., Nikiforova, A., Saxena, S. and Singh, P. (2022), Investigation into the adoption of open government data among students: the behavioural intention-based comparative analysis of three countries, Aslib Journal of Information Management, Vol. 74 No. 3, pp. 549-567. https://doi.org/10.1108/AJIM-08-2021-0249, Q1 (Library and Information Sciences), Impact Factor: 2.343, SNIP: 1.132, CiteScore: 3.3
• Nikiforova A., Zuiderwijk A. (2022) Barriers to openly sharing government data: towards an open data-adapted innovation resistance theory, In 15th International Conference on Theory and Practice of Electronic Governance (ICEGOV 2022). Association for Computing Machinery, New York, NY, USA, 215–220, https://doi.org/10.1145/3560107.3560143 – best paper award nominee
• Azeroual O., Schöpfel J., Pölönen J., and Nikiforova N. (2022). Putting FAIR principles in the context of research information: FAIRness for CRIS and CRIS for FAIRness. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management – Vol. 3: KMIS, pp. 63-71. 10.5220/0011548700003335 – best paper award
• Nikiforova A. (2022) Gen Z open data hackathon – civic innovation with digital natives: to hack or not to hack, In Proceedings of Ongoing Research, Practitioners, Workshops, Posters, and Projects of the International Conference EGOV-CeDEM-ePart 2022, pp. 251-253, September 5-8, Linkoping, Sweden
• Lnenicka M., Luterek M., Nikiforova A. (2022) Benchmarking open data efforts through indices and rankings: Assessing development and contexts of use, Telematics and Informatics, 2021, 101745, ISSN 0736-5853, https://doi.org/10.1016/j.tele.2021.101745, Q1, Impact factor: 6.182, SNIP: 2.912, CiteScore: 13.2
• Saxena, S., Shao, D., Nikiforova, A. and Thapliyal, R. (2022), Invoking blockchain technology in e-government services: a cybernetic perspective, Digital Policy, Regulation and Governance, Vol. 24 No. 3, pp. 246-258. https://doi.org/10.1108/DPRG-10-2021-0128, Q2 (Information Systems and Management), SNIP: 0.705, CiteScore: 2.8
• Azeroual, O., Jha, M., Nikiforova, A., Sha, K., Alsmirat, M., & Jha, S. (2022). A Record Linkage-Based Data Deduplication Framework with DataCleaner Extension. Multimodal Technologies and Interaction, 6(4), 27, https://doi.org/10.3390/mti6040027, SNIP: 1.63, CiteScore: 3.7 (Q2 – Computer Science Applications)
• Azeroual, O., Schöpfel, J., Ivanović, D., & Nikiforova, A. (2022). Combining Data Lake and Data Wrangling for Ensuring Data Quality in CRIS. Procedia Computer Science, Vol. 211, pp. 3-16, https://doi.org/10.1016/j.procs.2022.10.171.
• Tékouabou, Stéphane C. K., Jérôme Chenal, Rida Azmi, Hamza Toulni, El Bachir Diop, and Anastasija Nikiforova. 2022. Identifying and Classifying Urban Data Sources for Machine Learning-Based Sustainable Urban Planning and Decision Support Systems Development, Data 7, no. 12: 170. https://doi.org/10.3390/data7120170, Q2 (Information Systems and Management), SNIP: 1.128, CiteScore: 4.8
• Salminen J., Mustak M., Rizun N., Revina A., Nikiforova A., Almerekhi H., Jung S., Jansen B.J. (2022) Integrating AI into Customer Service: Improving the Actionability of Customer Feedback Analysis Using Machine Learning, in Proceedings of the 4th international conference on AIRSI2022 Technologies 4.0 in Tourism, Services & Marketing (AIRSI – Artificial Intelligence, Immersive Technologies, Social Networks and Internet of Things) (web-based), July 2022 (extended abstract)
• Azeroual, O., Nikiforova, A. Apache Spark and MLlib-Based Intrusion Detection System or How the Big Data Technologies Can Secure the Data. Information 2022, 13, 58. https://doi.org/10.3390/info13020058, SNIP: 1.012, CiteScore: 3.0 (Q2 – Information Systems)
• Nikiforova A., Rovite V., Tiwari S., Klovins J., Kante N., Evaluation and visualization of healthcare semantic models, Editor(s): Sanju Tiwari, Fernando Ortiz Rodriguez, M.A. Jabbar, In Intelligent Data-Centric Systems, Semantic Models in IoT and Ehealth Applications, Academic Press, 2022, pp. 39-68, ISBN 9780323917735, https://doi.org/10.1016/B978-0-32-391773-5.00009-1.
• Chang V., Xiao L., Nikiforova A., Xu Q., Liu B. (2022) The Study of PGP Web of Trust Based on Social Network Analysis, International Journal of Business Information Systems, 10.1504/IJBIS.2020.10037242, SNIP: 0.551, CiteScore: 1.7 (Q2 – Information Systems and Management, Management Information Systems) (in press)
• Ishengoma, F.R., Shao, D., Alexopoulos, C., Saxena, S. and Nikiforova, A. (2022), “Integration of artificial intelligence of things (AIoT) in the public sector: drivers, barriers and future research agenda“, Digital Policy, Regulation and Governance, Vol. 24 No. 5, pp. 449-462. https://doi.org/10.1108/DPRG-06-2022-0067
• Govoruhina A., Nikiforova A. (2022) Digital health shopping assistant with React Native: a simple technological solution to a complex health problem, 2022 International Conference on Intelligent Data Science Technologies and Applications (IDSTA), 2022, pp. 34-40, doi: 10.1109/IDSTA55301.2022.9923047.
• Kumar N., Jilani A. K., Kumar P., Nikiforova A. (2022). Improved YOLOv3-tiny Object Detector with Dilated CNN for Drone-Captured Images, 2022 International Conference on Intelligent Data Science Technologies and Applications (IDSTA), 2022, pp. 89-94, doi: 10.1109/IDSTA55301.2022.9923041.
• Wilkinson, M. D., Sansone, S. A., Méndez, E., David, R., Dennis, R., Hecker, D., Lacagnina, C. ., Nikiforova, A., & Castro, L. J. (2022). Community-driven Governance of FAIRness Assessment: An Open Issue, an Open Discussion. Open Research Europe 2022, 2:146 (https://doi.org/10.12688/openreseurope.15364.1)
• Ukpabi, D.C., Karjaluoto, H., Botticher, A., Nikiforova, A., Petrescu, D.I., Schindler, P., Valtenbergs, V., Lehmann, L., & Yakaryılmaz, A. (2022). Framework for understanding quantum computing use cases from a multidisciplinary perspective and future research directions, 10.48550/ARXIV.2212.13909

2021

• Nikiforova, A., Bicevskis, J., Bicevska, Z., & Oditis, I. (2020). Data Quality Model-based Testing of Information Systems: the Use-case of E-scooters. In 2020 7th International Conference on Internet of Things: Systems, Management and Security (IOTSMS 2020), (Scopus) – best paper award nominee
• Nikiforova, A. (2020, October). Timeliness of Open Data in Open Government Data Portals Through Pandemic-related Data: a long data way from the publisher to the user. In 2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA) (pp. 131-138). IEEE. (Scopus)
• Nikiforova, A., Bicevskis, J., Karnitis, G. (2020). Towards a Concurrence Analysis in Business Processes. In 2020 7th International Conference on Social Networks Analysis, Management and Security (SNAMS 2020), (Scopus)
• Bicevskis, J., Bicevska, Z., Nikiforova, A., & Oditis, I. (2020, September). Data Quality Model-based Testing of Information Systems. In 2020 15th Conference on Computer Science and Information Systems (FedCSIS) (pp. 595-602). IEEE. (Scopus) – best paper award
• Nikiforova, A. (2020). Comparative analysis of national open data portals or whether your portal is ready to bring benefits from open data. In IADIS International Conference on ICT, Society and Human Beings (pp. 21-23), (Scopus)
• Nikiforova, A. (2020). Assessment of the usability of Latvia’s open data portal or how close are we to gaining benefits from open data. In IADIS 14th International Conference on Interfaces and Human Computer Interaction (pp. 51-28). (Scopus)
• Nikiforova, A. (2020). Definition and Evaluation of Data Quality: User-Oriented Data Object-Driven Approach to Data Quality Assessment. Baltic Journal of Modern Computing, 8(3), 391-432; (Scopus, Web of Science) Q4, SNIP: 0.524
• Nikiforova, A., & Bicevskis, J. (2020). Towards a Business Process Model-based Testing of Information Systems Functionality. In ICEIS (2) (pp. 322-329), (Scopus, Web of Science)
• Nikiforova, A., Bicevskis, J., Bicevska, Z., & Oditis, I. (2020). User-Oriented Approach to Data Quality Evaluation. J. UCS, 26(1), 107-126; (Scopus, Web of Science) Q2, Impact factor: 0.91; SNIP: 0.67, CiteScore: 2.0

2019

• Bicevskis, J., Nikiforova, A., Bicevska, Z., Oditis, I., & Karnitis, G. (2019, October). A Step Towards a Data Quality Theory. In 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS) (pp. 303-308). IEEE. (Scopus, Web of Science)
• Bicevskis, J., Bicevska, Z., Nikiforova, A., & Oditis, I. (2019, September). Towards Data Quality Runtime Verification. In 2019 Federated Conference on Computer Science and Information Systems (FedCSIS) (pp. 639-643). (Scopus, Web of Science)
• Nikiforova, A. (2019). Analysis of Open Health Data Quality Using Data Object-Driven Approach to Data Quality Evaluation: Insights from a Latvian Context. In IADIS International Conference e-Health (pp. 119-126). (Scopus)
• Nikiforova, A., & Bicevskis, J. (2019). An Extended Data Object-driven Approach to Data Quality Evaluation: Contextual Data Quality Analysis. In ICEIS (1) (pp. 274-281). (Scopus, Web of Science)

2018

• Bicevskis, J., Bicevska, Z., Nikiforova, A., & Oditis, I. (2018, October). An Approach to Data Quality Evaluation. In 2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS) (pp. 196-201). IEEE. (Scopus, Web of Science)
• Bicevskis, J., Bicevska, Z., Nikiforova, A., & Oditis, I. (2018). Data quality evaluation: a comparative analysis of company registers’ open data in four European countries. In FedCSIS (Communication Papers) (pp. 197-204).
• Nikiforova, A., & Bicevska, Z. (2018). Application of LEAN Principles to Improve Business Processes: a Case Study in Latvian IT Company. Baltic Journal of Modern Computing, 6(3), 247-270. (Web of Science)
• Nikiforova, A. (2018). Open Data Quality Evaluation: A Comparative Analysis of Open Data in Latvia. Baltic Journal of Modern Computing, 6(4), 363-386. (Web of Science)
• Nikiforova, A. (2018). Open Data Quality, CEUR; (Scopus) CiteScore: 0.8, SNIP: 0.345