Mia Romano

470 total citations
19 papers, 310 citations indexed

About

Mia Romano is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Mia Romano has authored 19 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Clinical Psychology, 13 papers in Experimental and Cognitive Psychology and 9 papers in Social Psychology. Recurrent topics in Mia Romano's work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (12 papers), Child and Adolescent Psychosocial and Emotional Development (11 papers) and Attachment and Relationship Dynamics (6 papers). Mia Romano is often cited by papers focused on Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (12 papers), Child and Adolescent Psychosocial and Emotional Development (11 papers) and Attachment and Relationship Dynamics (6 papers). Mia Romano collaborates with scholars based in Australia, Canada and Israel. Mia Romano's co-authors include Lorna Peters, David A. Moscovitch, Jonathan D. Huppert, Morris Moscovitch, Gordon Parker, Rebecca Graham, Amelia Paterson, Vanja Vidovic, Ruofan Ma and Lauren F. McLellan and has published in prestigious journals such as American Journal of Psychiatry, Clinical Psychology Review and Behaviour Research and Therapy.

In The Last Decade

Mia Romano

19 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mia Romano Australia 10 149 137 64 51 51 19 310
Gail Myhr Canada 10 284 1.9× 151 1.1× 126 2.0× 71 1.4× 19 0.4× 22 410
Julie M. Petersen United States 12 315 2.1× 113 0.8× 51 0.8× 66 1.3× 22 0.4× 45 395
Ki Eun Shin United States 8 230 1.5× 177 1.3× 79 1.2× 35 0.7× 13 0.3× 16 353
Johanna M. Meyer United States 8 302 2.0× 123 0.9× 63 1.0× 85 1.7× 31 0.6× 15 417
Erica Crome Australia 9 166 1.1× 152 1.1× 66 1.0× 39 0.8× 13 0.3× 17 300
Alexander H. Queen United States 9 262 1.8× 91 0.7× 58 0.9× 68 1.3× 25 0.5× 12 316
Sanne M. Hogendoorn Netherlands 12 284 1.9× 131 1.0× 74 1.2× 81 1.6× 31 0.6× 21 378
Jeremy Tudway United Kingdom 5 159 1.1× 46 0.3× 41 0.6× 48 0.9× 33 0.6× 6 270
Belinda Graham United Kingdom 9 227 1.5× 73 0.5× 57 0.9× 59 1.2× 70 1.4× 14 330
Carlos E. Yegüez United States 12 239 1.6× 95 0.7× 87 1.4× 58 1.1× 36 0.7× 22 382

Countries citing papers authored by Mia Romano

Since Specialization
Citations

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

Fields of papers citing papers by Mia Romano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mia Romano

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

All Works

19 of 19 papers shown
1.
Xiong, Hao, Shlomo Berkovsky, Mia Romano, et al.. (2021). Prediction of anxiety disorders using a feature ensemble based bayesian neural network. Journal of Biomedical Informatics. 123. 103921–103921. 9 indexed citations
2.
Romano, Mia & Lorna Peters. (2021). The effect of motivational interviewing on ambivalence in social anxiety disorder. Behavioural and Cognitive Psychotherapy. 49(6). 684–695. 1 indexed citations
3.
Ishikawa, Shin‐ichi, Mia Romano, & Jennifer L. Hudson. (2021). A Comparison of Interactions Among Children, Parents, and Therapists in Cognitive Behavior Therapy for Anxiety Disorders in Australia and Japan. Behavior Therapy. 53(1). 34–48. 4 indexed citations
4.
Romano, Mia, et al.. (2020). The effects of positive interpretation bias on cognitive reappraisal and social performance: Implications for social anxiety disorder. Behaviour Research and Therapy. 131. 103651–103651. 12 indexed citations
5.
Romano, Mia, et al.. (2020). Imagery Rescripting of Painful Memories in Social Anxiety Disorder: A Qualitative Analysis of Needs Fulfillment and Memory Updating. Cognitive Therapy and Research. 45(5). 902–917. 10 indexed citations
6.
Romano, Mia, et al.. (2020). Motivational interviewing for social anxiety disorder: An examination of the technical hypothesis. Psychotherapy Research. 31(2). 224–235. 4 indexed citations
7.
Romano, Mia, et al.. (2019). The effects of imagery rescripting on memory outcomes in social anxiety disorder. Journal of Anxiety Disorders. 69. 102169–102169. 40 indexed citations
8.
Peters, Lorna, Mia Romano, Yulisha Byrow, et al.. (2019). Motivational interviewing prior to cognitive behavioural treatment for social anxiety disorder: A randomised controlled trial. Journal of Affective Disorders. 256. 70–78. 15 indexed citations
9.
Romano, Mia, David A. Moscovitch, Ruofan Ma, & Jonathan D. Huppert. (2019). Social problem solving in social anxiety disorder. Journal of Anxiety Disorders. 68. 102152–102152. 19 indexed citations
10.
Vidovic, Vanja, Mia Romano, & David A. Moscovitch. (2019). Coping with negative mental images in social anxiety disorder: Investigating the potential benefits of image morphing. Journal of Experimental Psychopathology. 10(1). 3 indexed citations
11.
Romano, Mia, et al.. (2019). Social anxiety is associated with impaired memory for imagined social events with positive outcomes. Cognition & Emotion. 34(4). 700–712. 25 indexed citations
12.
Moscovitch, David A., et al.. (2018). Autobiographical memory retrieval and appraisal in social anxiety disorder. Behaviour Research and Therapy. 107. 106–116. 34 indexed citations
13.
Parker, Gordon, et al.. (2018). How well does a wellbeing measure predict psychiatric ‘caseness’ as well as suicide risk and self-harm in adolescents?. Psychiatry Research. 268. 323–327. 3 indexed citations
14.
Parker, Gordon, et al.. (2018). Suprasensory phenomena in those with a bipolar disorder. Australasian Psychiatry. 26(4). 384–387. 3 indexed citations
15.
Parker, Gordon, et al.. (2018). Comparative familial aggregation of bipolar disorder in patients with bipolar I and bipolar II disorders. Australasian Psychiatry. 26(4). 414–416. 5 indexed citations
16.
Parker, Gordon, Amelia Paterson, Mia Romano, & Rebecca Graham. (2017). Altered Sensory Phenomena Experienced in Bipolar Disorder. American Journal of Psychiatry. 174(12). 1146–1150. 19 indexed citations
17.
Romano, Mia, et al.. (2016). Therapist and Client Interactions in Motivational Interviewing for Social Anxiety Disorder. Journal of Clinical Psychology. 73(7). 829–847. 5 indexed citations
18.
Romano, Mia & Lorna Peters. (2015). Evaluating the mechanisms of change in motivational interviewing in the treatment of mental health problems: A review and meta-analysis. Clinical Psychology Review. 38. 1–12. 58 indexed citations
19.
Romano, Mia & Lorna Peters. (2014). Understanding the process of motivational interviewing: A review of the relational and technical hypotheses. Psychotherapy Research. 26(2). 220–240. 41 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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