Roman Lukyanenko

2.0k total citations · 1 hit paper
50 papers, 784 citations indexed

About

Roman Lukyanenko is a scholar working on Management Science and Operations Research, Management Information Systems and Artificial Intelligence. According to data from OpenAlex, Roman Lukyanenko has authored 50 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Management Science and Operations Research, 17 papers in Management Information Systems and 17 papers in Artificial Intelligence. Recurrent topics in Roman Lukyanenko's work include Data Quality and Management (14 papers), Big Data and Business Intelligence (11 papers) and Semantic Web and Ontologies (11 papers). Roman Lukyanenko is often cited by papers focused on Data Quality and Management (14 papers), Big Data and Business Intelligence (11 papers) and Semantic Web and Ontologies (11 papers). Roman Lukyanenko collaborates with scholars based in United States, Canada and Germany. Roman Lukyanenko's co-authors include Jeffrey Parsons, Yolanda F. Wiersma, Guy Paré, Gerit Wagner, Veda C. Storey, Wolfgang Maaß, Andrea Wiggins, Jan Recker, Óscar Pastor and Monica Chiarini Tremblay and has published in prestigious journals such as Communications of the ACM, MIS Quarterly and ACM Computing Surveys.

In The Last Decade

Roman Lukyanenko

46 papers receiving 731 citations

Hit Papers

Artificial intelligence and the conduct of literature rev... 2021 2026 2022 2024 2021 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Artificial intelligence and the conduct of literature reviews
    2021 140 citations Roman Lukyanenko et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roman Lukyanenko United States 13 225 172 166 140 135 50 784
Robert Laubacher United States 14 126 0.6× 96 0.6× 201 1.2× 106 0.8× 146 1.1× 25 1.1k
Anbang Xu United States 14 544 2.4× 170 1.0× 285 1.7× 28 0.2× 165 1.2× 45 1.2k
Philipp Ebel Switzerland 12 186 0.8× 173 1.0× 99 0.6× 48 0.3× 101 0.7× 43 702
Jano Moreira de Souza Brazil 15 170 0.8× 92 0.5× 148 0.9× 57 0.4× 239 1.8× 189 867
Jim Laredo United States 12 164 0.7× 50 0.3× 120 0.7× 56 0.4× 271 2.0× 39 691
Klein United States 7 110 0.5× 83 0.5× 242 1.5× 80 0.6× 77 0.6× 26 767
Katharine Fairlie Armstrong United States 4 122 0.5× 136 0.8× 263 1.6× 70 0.5× 131 1.0× 4 943
Maja Vuković United States 12 137 0.6× 52 0.3× 82 0.5× 95 0.7× 231 1.7× 63 757
Enrique Estellés-Arolas Spain 4 88 0.4× 103 0.6× 222 1.3× 85 0.6× 132 1.0× 5 1.2k
Ying Ding China 20 223 1.0× 35 0.2× 114 0.7× 63 0.5× 220 1.6× 43 1.1k

Countries citing papers authored by Roman Lukyanenko

Since Specialization
Citations

This map shows the geographic impact of Roman Lukyanenko's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Roman Lukyanenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Lukyanenko more than expected).

Fields of papers citing papers by Roman Lukyanenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roman Lukyanenko. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Roman Lukyanenko. The network helps show where Roman Lukyanenko may publish in the future.

Co-authorship network of co-authors of Roman Lukyanenko

This figure shows the co-authorship network connecting the top 25 collaborators of Roman Lukyanenko. A scholar is included among the top collaborators of Roman Lukyanenko based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roman Lukyanenko. Roman Lukyanenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nerur, Sridhar, et al.. (2025). The state-of-the-art of crowdsourcing systems: A computational literature review and future research agenda using a text analytics approach. Information & Management. 62(2). 104098–104098. 3 indexed citations
2.
Larsen, Kai R., Roman Lukyanenko, Roland M. Mueller, et al.. (2025). Validity in Design Science. MIS Quarterly. 49(4). 1267–1294. 2 indexed citations
3.
Storey, Veda C., Wei Thoo Yue, J. Leon Zhao, & Roman Lukyanenko. (2025). Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research. Information Systems Frontiers. 27(5). 2081–2102. 13 indexed citations
4.
Storey, Veda C., et al.. (2025). Domain knowledge in artificial intelligence: Using conceptual modeling to increase machine learning accuracy and explainability. Data & Knowledge Engineering. 160. 102482–102482.
5.
Parsons, Jeffrey, Roman Lukyanenko, Brad N. Greenwood, & Caren B. Cooper. (2025). Understanding and Improving Data Repurposing. MIS Quarterly. 50(1). 35–58.
6.
Wiersma, Yolanda F., et al.. (2024). Advantages and Drawbacks of Open-Ended, Use-Agnostic Citizen Science Data Collection: A Case Study. Citizen Science Theory and Practice. 9(1). 5–5. 1 indexed citations
7.
Lukyanenko, Roman, et al.. (2024). Universal conceptual modeling: principles, benefits, and an agenda for conceptual modeling research. Software & Systems Modeling. 23(5). 1077–1100. 3 indexed citations
8.
Lukyanenko, Roman, Veda C. Storey, & Óscar Pastor. (2023). Conceptual modelling for life sciences based on systemist foundations. BMC Bioinformatics. 23(S11). 574–574.
9.
Lukyanenko, Roman. (2022). Participatory Design for User-generated Content: Understanding the challenges and moving forward. Scandinavian Journal of Information Systems. 28(1). 2. 8 indexed citations
10.
Lukyanenko, Roman, et al.. (2021). Research Agenda for Basic Explainable AI.. Journal of the Association for Information Systems. 2 indexed citations
11.
Lukyanenko, Roman, Veda C. Storey, & Óscar Pastor. (2021). Foundations of information technology based on Bunge’s systemist philosophy of reality. Software & Systems Modeling. 20(4). 921–938. 8 indexed citations
12.
Tremblay, Monica Chiarini, et al.. (2020). Basic Classes in Conceptual Modeling: Theory and Practical Guidelines. Journal of the Association for Information Systems. 21. 1001–1044. 13 indexed citations
13.
Lukyanenko, Roman, et al.. (2020). Research Perspectives: Design Theory Indeterminacy: What Is it, How Can it Be Reduced, and Why Did the Polar Bear Drown?. Journal of the Association for Information Systems. 21(5). 1343–1369. 19 indexed citations
14.
Endicott, James E., Kai R. Larsen, Roman Lukyanenko, & Chih How Bong. (2017). Integrating Scientific Research: Theory and Design of Discovering Similar Constructs. Unimas Institutional Repository (Universiti Malaysia Sarawak). 4 indexed citations
15.
Amrollahi, Alireza, Roman Lukyanenko, & Arturo Rodríguez Castellanos. (2017). Multi-Paradigmatic Theorizing: Mixing Design and Exploration. Journal of the Association for Information Systems. 489. 1 indexed citations
16.
Lukyanenko, Roman, et al.. (2017). Representing Crowd Knowledge: Guidelines for Conceptual Modeling of User-generated Content. Journal of the Association for Information Systems. 18(4). 297–339. 30 indexed citations
17.
Lukyanenko, Roman, et al.. (2016). Toward theory and method of hybrid data collection. Arrow@dit (Dublin Institute of Technology). 93–95. 1 indexed citations
18.
Lukyanenko, Roman, Jeffrey Parsons, & Yolanda F. Wiersma. (2014). The Impact of Conceptual Modeling on Dataset Completeness: A Field Experiment. Journal of the Association for Information Systems. 16 indexed citations
19.
Lukyanenko, Roman & Jöerg Evermann. (2011). A Survey of Cognitive Theories to Support Data Integration. Journal of the Association for Information Systems. 3 indexed citations
20.
Lukyanenko, Roman & Jeffrey Parsons. (2011). Rethinking data quality as an outcome of conceptual modeling choices.. ICIQ. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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