David G. Dobolyi
- Cognitive Neuroscience top 5%
- Social Psychology top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Developmental and Educational Psychology top 10%
- Co-authors
- Chad S. DodsonAhmed AbbasiDaniel T. WillinghamElizabeth M. HughesJingjing LiBrent KitchensFatemeh ZahediRichard G. Netemeyer
- Topics
- Memory Processes and Influences (10 papers)Deception detection and forensic psychology (6 papers)Face Recognition and Perception (5 papers)
- Journals
- Proceedings of the National Academy of SciencesBrain ResearchJournal of Experimental Psychology Learning Memory and Cognition
- Partner nations
- United StatesUnited KingdomHong Kong
In The Last Decade
David G. Dobolyi
26 papers receiving 796 citations
Peers
Comparison fields: 5 of 104
- Cognitive Neuroscience 276
- Social Psychology 185
- Information Systems 131
- Artificial Intelligence 120
- Developmental and Educational Psychology 118
Countries citing papers authored by David G. Dobolyi
This map shows the geographic impact of David G. Dobolyi'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 David G. Dobolyi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David G. Dobolyi more than expected).
Fields of papers citing papers by David G. Dobolyi
This network shows the impact of papers produced by David G. Dobolyi. 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 David G. Dobolyi. The network helps show where David G. Dobolyi may publish in the future.
Co-authorship network of co-authors of David G. Dobolyi
This figure shows the co-authorship network connecting the top 25 collaborators of David G. Dobolyi. A scholar is included among the top collaborators of David G. Dobolyi 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 David G. Dobolyi. David G. Dobolyi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 36 | |
| 12 | 22 | |
| 13 | 19 | |
| 14 | 25 | |
| 15 | 16 | |
| 16 | 13 | |
| 17 | 21 | |
| 18 | 29 | |
| 19 | 46 | |
| 20 | 59 |
About David G. Dobolyi
David G. Dobolyi is a scholar working on Health Informatics, Cognitive Neuroscience and Social Psychology, having authored 29 papers that have together received 846 indexed citations. Recurring topics across this work include Memory Processes and Influences (10 papers), Deception detection and forensic psychology (6 papers) and Face Recognition and Perception (5 papers). The work is most often cited by research in Cognitive Neuroscience (276 citations), Health Informatics (16 citations) and Management Information Systems (105 citations). David G. Dobolyi has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include Chad S. Dodson, Ahmed Abbasi, Daniel T. Willingham, Elizabeth M. Hughes, Jingjing Li, Brent Kitchens, Fatemeh Zahedi, Richard G. Netemeyer, Gari D. Clifford and Jesse H. Grabman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Brain Research and Journal of Experimental Psychology Learning Memory and Cognition.
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.