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
• 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. ahead-of-print. 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
• 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., Tiwari S., Rovite V., Kante N., Klovins J. (2022) Evaluation and Visualization of Healthcare Semantic Models, Semantic Models in IoT and eHealth Applications, Ed. S. Tiwari, F. Ortiz Rodriguez, M.A. Jabbar, ISBN: 9780323917735, Academic Press 2022
• 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 (in press)
• Chang V., Marshall R., Xu Q., Nikiforova N. (2022) E-Commerce Assistant Application incorporating Machine Learning Image Classification, International Journal of Business and Systems Research, 10.1504/IJBSR.2022.10036200, Impact Factor: 1.3, SNIP: 0.467, CiteScore: 1.3 (in press)
• 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
• Nikiforova A., Daskevics A., Otmane A., “NoSQL security: can my data-driven decision-making be affected from outside?,” In Big data & decision-making: how big data is relevant across fields and domains, Emerald Studies in Politics and Technology, Emerald Publishing Limited, 2022 (accepted, in print)

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)
• 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)
• 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