Vida Imani

28 papers receiving 4.0k citations

Vida Imani's Hit Papers

The Fear of COVID-19 Scale: Development and Initial Validation 2020 · 3.2k citations
3.2k0+2+4Years since publication10002.0k3.0k

Peers

Vida Imani
Comparison fields: 5 of 136
  • Clinical Psychology 2.4k
  • Applied Psychology 407
  • Modeling and Simulation 174
  • Experimental and Cognitive Psychology 489
  • Health 277
Replace Daniel Kwasi Ahorsu with:
Daniel Kwasi Ahorsu Hong Kong
Mohammed A. Mamun Bangladesh
Wenjun Cao China
Júlio Torales Paraguay
Junming Dai China
Yingnan Jia China
Marcelo O’Higgins Paraguay
Deblina Roy India
Debanjan Banerjee India
Vida Imani relative to Daniel Kwasi Ahorsu Hong Kong Daniel Kwasi Ahorsu's profile →
Citations per field
00.5×10×20×26×
Daniel Kwasi Ahorsu · 1×
Citations per year

Countries citing papers authored by Vida Imani

Since Specialization
Citations

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

Fields of papers citing papers by Vida Imani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vida Imani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vida Imani Line = papers co-authored together Vida Imani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Fear of COVID-19 Scale: Development and Initial Validation
Hit paper breakdown →
20203159
2 2020170
3 2020127
4 201861
5 202061
6 201954
7 202054
8 202044
9 201940
10 201935
11 201834
12 202034
13 202032
14 201927
15 201919
16 202016
17 201816
18 201915
19 201914
20 202314

About Vida Imani

Vida Imani is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology, Sociology and Political Science, Cognitive Neuroscience and Pharmacy, having authored 29 papers that have together received 4.1k indexed citations. Recurring topics across this work include Sleep and related disorders (8 papers), Impact of Technology on Adolescents (5 papers), COVID-19 and Mental Health (5 papers), Sleep and Wakefulness Research (5 papers), Obesity and Health Practices (4 papers), Attachment and Relationship Dynamics (2 papers), Eating Disorders and Behaviors (2 papers) and Mindfulness and Compassion Interventions (2 papers). The work is most often cited by research in Clinical Psychology (2.4k citations), Applied Psychology (407 citations), Modeling and Simulation (174 citations), Experimental and Cognitive Psychology (489 citations) and Health (277 citations). Vida Imani has collaborated with scholars based in Iran, Sweden and Hong Kong. Frequent co-authors include Amir H. Pakpour, Chung‐Ying Lin, Mark D. Griffiths, Daniel Kwasi Ahorsu, Mohsen Saffari, Anders Broström, Kristofer Årestedt, Kyra Hamilton, John A. Updegraff and Toomas Timpka. Their work appears in journals such as International Journal of Mental Health and Addiction, Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity, Health Promotion Perspectives, Journal of Behavioral Addictions and Journal of Sleep Research.

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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