Gabriela Lunansky

1.2k total citations · 1 hit paper
18 papers, 590 citations indexed

About

Gabriela Lunansky is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Clinical Psychology. According to data from OpenAlex, Gabriela Lunansky has authored 18 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Experimental and Cognitive Psychology, 8 papers in Cognitive Neuroscience and 7 papers in Clinical Psychology. Recurrent topics in Gabriela Lunansky's work include Mental Health Research Topics (14 papers), Functional Brain Connectivity Studies (7 papers) and COVID-19 and Mental Health (2 papers). Gabriela Lunansky is often cited by papers focused on Mental Health Research Topics (14 papers), Functional Brain Connectivity Studies (7 papers) and COVID-19 and Mental Health (2 papers). Gabriela Lunansky collaborates with scholars based in Netherlands, United States and Argentina. Gabriela Lunansky's co-authors include Denny Borsboom, Jonas M B Haslbeck, Tessa F. Blanken, Ria H. A. Hoekstra, Julian Burger, Sacha Epskamp, Adela‐Maria Isvoranu, Eiko I. Fried, Claudia D. van Borkulo and Anne‐Laura van Harmelen and has published in prestigious journals such as Psychological Review, Journal of Business Ethics and The Journals of Gerontology Series A.

In The Last Decade

Gabriela Lunansky

14 papers receiving 583 citations

Hit Papers

Reporting standards for psychological network analyses in... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriela Lunansky Netherlands 9 367 227 165 115 67 18 590
Inés Nieto Spain 7 361 1.0× 185 0.8× 180 1.1× 85 0.7× 67 1.0× 19 483
Yanqiang Tao China 14 293 0.8× 233 1.0× 143 0.9× 104 0.9× 33 0.5× 64 506
Alba Contreras Spain 12 448 1.2× 346 1.5× 218 1.3× 164 1.4× 99 1.5× 31 838
Jolanda J. Kossakowski Netherlands 6 699 1.9× 228 1.0× 324 2.0× 116 1.0× 121 1.8× 8 816
Matteo Malgaroli United States 16 236 0.6× 490 2.2× 104 0.6× 169 1.5× 61 0.9× 40 879
Regina Espinosa Spain 12 386 1.1× 275 1.2× 180 1.1× 187 1.6× 196 2.9× 37 721
Pan Chen China 11 216 0.6× 182 0.8× 87 0.5× 129 1.1× 44 0.7× 34 501
Jolanda Kossakowski Netherlands 6 505 1.4× 216 1.0× 255 1.5× 61 0.5× 114 1.7× 11 602
Ria H. A. Hoekstra Netherlands 5 691 1.9× 260 1.1× 326 2.0× 109 0.9× 129 1.9× 10 788
Erica Casini Italy 11 196 0.5× 210 0.9× 81 0.5× 139 1.2× 40 0.6× 23 441

Countries citing papers authored by Gabriela Lunansky

Since Specialization
Citations

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

Fields of papers citing papers by Gabriela Lunansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriela Lunansky

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

All Works

18 of 18 papers shown
1.
Lunansky, Gabriela, Marjolein Visser, Martijn Huisman, Erik J. Giltay, & Almar A. L. Kok. (2025). What Changes First? Mapping the Temporal Ordering of Age-Related Functional Decline across Domains Using 30-Year Longitudinal Data. Gerontology. 72(2). 154–170.
2.
Lunansky, Gabriela, et al.. (2025). Risk perception, barriers, and working safely with silica dust in construction: a psychological network approach. BMC Public Health. 25(1). 2318–2318.
3.
Kok, Almar A. L., Martijn Huisman, Erik J. Giltay, & Gabriela Lunansky. (2025). Adopting a complex systems approach to functional ageing: bridging the gap between gerontological theory and empirical research. The Lancet Healthy Longevity. 6(3). 100673–100673. 9 indexed citations
6.
Lunansky, Gabriela, George A. Bonanno, Tessa F. Blanken, et al.. (2024). Bouncing back from life’s perturbations: Formalizing psychological resilience from a complex systems perspective.. Psychological Review. 132(6). 1396–1409. 3 indexed citations
7.
Bork, Riet van, Gabriela Lunansky, & Denny Borsboom. (2024). Measurement targets for network constructs in psychopathology. Measurement. 232. 114643–114643. 3 indexed citations
8.
Lunansky, Gabriela, Ria H. A. Hoekstra, & Tessa F. Blanken. (2023). Disentangling the Role of Affect in the Evolution of Depressive Complaints Using Complex Dynamical Networks. Collabra Psychology. 9(1). 1 indexed citations
9.
Burger, Julian, Adela‐Maria Isvoranu, Gabriela Lunansky, et al.. (2022). Reporting standards for psychological network analyses in cross-sectional data.. Psychological Methods. 28(4). 806–824. 240 indexed citations breakdown →
10.
Kuiper, Malouke Esra, Anne Leonore de Bruijn, Chris Reinders Folmer, et al.. (2022). A Network Approach to Compliance: A Complexity Science Understanding of How Rules Shape Behavior. Journal of Business Ethics. 184(2). 479–504. 9 indexed citations
11.
Lunansky, Gabriela, et al.. (2022). Psicopatología como red causal compleja de síntomas interactivos. Interdisciplinaria Revista de Psicología y Ciencias Afines. 39(2). 1 indexed citations
12.
Andringa, Sible, et al.. (2022). Network analysis for modeling complex systems in SLA research. Studies in Second Language Acquisition. 45(2). 526–557. 36 indexed citations
13.
Lunansky, Gabriela, et al.. (2021). Argentinian mental health during the COVID-19 pandemic: A screening study of the general population during two periods of quarantine. Europe’s Journal of Psychology. 3(1). e4519–e4519. 10 indexed citations
14.
Lunansky, Gabriela, et al.. (2021). The Mental Health Ecosystem: Extending Symptom Networks With Risk and Protective Factors. Frontiers in Psychiatry. 12. 640658–640658. 33 indexed citations
15.
Lunansky, Gabriela, et al.. (2021). Intervening on psychopathology networks: Evaluating intervention targets through simulations. Methods. 204. 29–37. 55 indexed citations
16.
Lunansky, Gabriela, Claudia D. van Borkulo, & Denny Borsboom. (2020). Personality, Resilience, and Psychopathology: A Model for the Interaction between Slow and Fast Network Processes in the Context of Mental Health. European Journal of Personality. 34(6). 969–987. 21 indexed citations
17.
Kalisch, Raffaël, Angélique O. J. Cramer, Harald Binder, et al.. (2019). Deconstructing and Reconstructing Resilience: A Dynamic Network Approach. Perspectives on Psychological Science. 14(5). 765–777. 168 indexed citations
18.
Dalege, Jonas, Denny Borsboom, Frenk van Harreveld, Gabriela Lunansky, & Han L. J. van der Maas. (2018). The Attitudinal Entropy (AE) Framework: Clarifications, Extensions, and Future Directions. Psychological Inquiry. 29(4). 218–228. 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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