Inna Arnaudova
- Experimental and Cognitive Psychology top 5%
- Cognitive Neuroscience top 10%
- Clinical Psychology top 10%
- Behavioral Neuroscience top 5%
- Social Psychology
- Co-authors
- Tom BeckersMerel KindtAngelos‐Miltiadis KrypotosMarieke EfftingMuriel A. HagenaarsMichael S. FanselowHortensia AmaroTessa F. Blanken
- Topics
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers)Child and Adolescent Psychosocial and Emotional Development (5 papers)Mental Health Research Topics (5 papers)
- Partner nations
- United StatesNetherlandsBelgium
In The Last Decade
Inna Arnaudova
19 papers receiving 398 citations
Peers
Comparison fields: 5 of 66
- Experimental and Cognitive Psychology 197
- Cognitive Neuroscience 182
- Clinical Psychology 147
- Behavioral Neuroscience 81
- Social Psychology 65
Countries citing papers authored by Inna Arnaudova
This map shows the geographic impact of Inna Arnaudova'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 Inna Arnaudova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inna Arnaudova more than expected).
Fields of papers citing papers by Inna Arnaudova
This network shows the impact of papers produced by Inna Arnaudova. 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 Inna Arnaudova. The network helps show where Inna Arnaudova may publish in the future.
Co-authorship network of co-authors of Inna Arnaudova
This figure shows the co-authorship network connecting the top 25 collaborators of Inna Arnaudova. A scholar is included among the top collaborators of Inna Arnaudova 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 Inna Arnaudova. Inna Arnaudova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 1 | |
| 3 | 20 | |
| 4 | 3 | |
| 5 | 26 | |
| 6 | 8 | |
| 7 | 9 | |
| 8 | 9 | |
| 9 | 76 | |
| 10 | 48 | |
| 11 | 4 | |
| 12 | 42 | |
| 13 | 12 | |
| 14 | 22 | |
| 15 | 22 | |
| 16 | Ten Tips for Developing a Programmatic Line of Research | 1 |
| 17 | 35 | |
| 18 | Retraining avoidance tendencies towards conditioned fear cues | 0 |
| 19 | Differential conditioned action tendencies following selective conditioning: Ready to avoid despite novelty | 1 |
| 20 | 46 |
About Inna Arnaudova
Inna Arnaudova is a scholar working on Experimental and Cognitive Psychology, Behavioral Neuroscience and Applied Psychology, having authored 20 papers that have together received 400 indexed citations. Recurring topics across this work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers), Child and Adolescent Psychosocial and Emotional Development (5 papers) and Mental Health Research Topics (5 papers). The work is most often cited by research in Behavioral Neuroscience (81 citations), Experimental and Cognitive Psychology (197 citations) and Applied Psychology (53 citations). Inna Arnaudova has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Tom Beckers, Merel Kindt, Angelos‐Miltiadis Krypotos, Marieke Effting, Muriel A. Hagenaars, Michael S. Fanselow, Hortensia Amaro, Tessa F. Blanken, Dóra Matzke and Michelle G. Craske. Their work appears in journals such as PLoS ONE, Behaviour Research and Therapy and Frontiers in Psychology.
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.