Liad Bareket‐Bojmel
- Sociology and Political Science top 10%
- Clinical Psychology top 10%
- Social Psychology top 10%
- Applied Psychology top 10%
- Organizational Behavior and Human Resource Management top 10%
- Co-authors
- Golan ShaharMalka MargalitSimone MoranSarah Abu‐KafYaron SelaGuy HochmanDan ArielyLily Chernyak‐Hai
- Topics
- Optimism, Hope, and Well-being (6 papers)Job Satisfaction and Organizational Behavior (4 papers)COVID-19 and Mental Health (4 papers)
- Partner nations
- IsraelUnited StatesNetherlands
In The Last Decade
Liad Bareket‐Bojmel
22 papers receiving 563 citations
Peers
Comparison fields: 5 of 86
- Sociology and Political Science 215
- Clinical Psychology 189
- Social Psychology 160
- Applied Psychology 74
- Organizational Behavior and Human Resource Management 71
Countries citing papers authored by Liad Bareket‐Bojmel
This map shows the geographic impact of Liad Bareket‐Bojmel'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 Liad Bareket‐Bojmel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liad Bareket‐Bojmel more than expected).
Fields of papers citing papers by Liad Bareket‐Bojmel
This network shows the impact of papers produced by Liad Bareket‐Bojmel. 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 Liad Bareket‐Bojmel. The network helps show where Liad Bareket‐Bojmel may publish in the future.
Co-authorship network of co-authors of Liad Bareket‐Bojmel
This figure shows the co-authorship network connecting the top 25 collaborators of Liad Bareket‐Bojmel. A scholar is included among the top collaborators of Liad Bareket‐Bojmel 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 Liad Bareket‐Bojmel. Liad Bareket‐Bojmel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 41 | |
| 3 | 22 | |
| 4 | 4 | |
| 5 | 62 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 0 | |
| 10 | 16 | |
| 11 | 113 | |
| 12 | 18 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 40 | |
| 19 | 40 | |
| 20 | 4 |
About Liad Bareket‐Bojmel
Liad Bareket‐Bojmel is a scholar working on Applied Psychology, Life-span and Life-course Studies and General Decision Sciences, having authored 23 papers that have together received 585 indexed citations. Recurring topics across this work include Optimism, Hope, and Well-being (6 papers), Job Satisfaction and Organizational Behavior (4 papers) and COVID-19 and Mental Health (4 papers). The work is most often cited by research in Applied Psychology (74 citations), Clinical Psychology (189 citations) and Life-span and Life-course Studies (7 citations). Liad Bareket‐Bojmel has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Golan Shahar, Malka Margalit, Simone Moran, Sarah Abu‐Kaf, Yaron Sela, Guy Hochman, Dan Ariely, Lily Chernyak‐Hai, Yael Steinhart and Amir Grinstein. Their work appears in journals such as Journal of Management, Computers in Human Behavior and Personality and Individual Differences.
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.