Irina Ene

880 total citations · 1 hit paper
8 papers, 568 citations indexed

About

Irina Ene is a scholar working on Artificial Intelligence, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Irina Ene has authored 8 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Social Psychology and 3 papers in Sociology and Political Science. Recurrent topics in Irina Ene's work include AI in Service Interactions (6 papers), Social Robot Interaction and HRI (4 papers) and Misinformation and Its Impacts (2 papers). Irina Ene is often cited by papers focused on AI in Service Interactions (6 papers), Social Robot Interaction and HRI (4 papers) and Misinformation and Its Impacts (2 papers). Irina Ene collaborates with scholars based in Romania. Irina Ene's co-authors include Corina Pelău and Dan‐Cristian Dabija and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Journal of theoretical and applied electronic commerce research.

In The Last Decade

Irina Ene

8 papers receiving 547 citations

Hit Papers

What makes an AI device human-like? The role of interacti... 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irina Ene Romania 6 320 193 168 92 81 8 568
Sara Moussawi United States 7 326 1.0× 176 0.9× 114 0.7× 156 1.7× 80 1.0× 17 490
Leon Ciechanowski Poland 9 527 1.6× 281 1.5× 198 1.2× 124 1.3× 94 1.2× 14 870
Ulrich Gnewuch Germany 11 593 1.9× 230 1.2× 282 1.7× 95 1.0× 60 0.7× 22 844
Lingyao Yuan United States 11 188 0.6× 194 1.0× 103 0.6× 65 0.7× 99 1.2× 24 631
Alexander P. Henkel Netherlands 10 242 0.8× 204 1.1× 155 0.9× 42 0.5× 138 1.7× 15 546
Meng­meng Song China 13 330 1.0× 291 1.5× 125 0.7× 162 1.8× 190 2.3× 28 630
Ingrid G. Farreras United States 6 397 1.2× 176 0.9× 136 0.8× 68 0.7× 48 0.6× 13 583
Aarni Tuomi Finland 13 472 1.5× 374 1.9× 148 0.9× 122 1.3× 262 3.2× 24 834
Erik Hermann Germany 12 203 0.6× 230 1.2× 62 0.4× 74 0.8× 148 1.8× 26 637
Christina Soyoung Song United States 11 230 0.7× 203 1.1× 148 0.9× 81 0.9× 246 3.0× 30 612

Countries citing papers authored by Irina Ene

Since Specialization
Citations

This map shows the geographic impact of Irina Ene'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 Irina Ene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina Ene more than expected).

Fields of papers citing papers by Irina Ene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irina Ene. 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 Irina Ene. The network helps show where Irina Ene may publish in the future.

Co-authorship network of co-authors of Irina Ene

This figure shows the co-authorship network connecting the top 25 collaborators of Irina Ene. A scholar is included among the top collaborators of Irina Ene 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 Irina Ene. Irina Ene is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Pelău, Corina, et al.. (2021). Clusters of Skeptical Consumers Based on Technology and AI Acceptance, Perception of Social Media Information and Celebrity Trend Setter. Journal of theoretical and applied electronic commerce research. 16(5). 1231–1247. 11 indexed citations
2.
Pelău, Corina, Dan‐Cristian Dabija, & Irina Ene. (2021). What makes an AI device human-like? The role of interaction quality, empathy and perceived psychological anthropomorphic characteristics in the acceptance of artificial intelligence in the service industry. Computers in Human Behavior. 122. 106855–106855. 499 indexed citations breakdown →
3.
Pelău, Corina, et al.. (2021). The Impact of Artificial Intelligence on Consumers Identity and Human Skills. Amfiteatru Economic. 23(56). 33–33. 31 indexed citations
4.
Pelău, Corina & Irina Ene. (2020). Interaction Between Consumers and Emerging forms of Artificial Intelligence: A Discriminant Analysis. SHILAP Revista de lepidopterología. 30(2). 1–12. 7 indexed citations
5.
Ene, Irina, et al.. (2019). Influence of the educational level on the spreading of Fake News regarding the energy field in the online environment. SHILAP Revista de lepidopterología. 13(1). 1108–1117. 13 indexed citations
6.
Ene, Irina, et al.. (2019). Qualitative and quantitative Analysis of consumers perception regarding anthropomorphic AI designs. SHILAP Revista de lepidopterología. 13(1). 707–716. 1 indexed citations
7.
Ene, Irina. (2018). Study of Consumer’s Unconscious Reaction towards the Use of Anthropomorphic Appearance of AI: An Eye-Tracking Experiment. SHILAP Revista de lepidopterología. 28(4). 55–67. 5 indexed citations
8.
Pelău, Corina, et al.. (2018). Differences in the Perception on Artificial Intelligence Depending on Age. RePEc: Research Papers in Economics. 1. 466–472. 1 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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