Kimberly Goodyear
- Social Psychology top 5%
- Cognitive Neuroscience top 10%
- Epidemiology
- Public Health, Environmental and Occupational Health
- Cellular and Molecular Neuroscience
- Co-authors
- Carolina L. Haass‐KofflerFrank KrüegerSergey ChernyakRaja ParasuramanSimon B. EickhoffGabriele BellucciEwart J. de VisserLorenzo Leggio
- Topics
- Substance Abuse Treatment and Outcomes (11 papers)Opioid Use Disorder Treatment (8 papers)Neurotransmitter Receptor Influence on Behavior (4 papers)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Kimberly Goodyear
22 papers receiving 531 citations
Peers
Comparison fields: 5 of 89
- Social Psychology 208
- Cognitive Neuroscience 138
- Epidemiology 126
- Public Health, Environmental and Occupational Health 93
- Cellular and Molecular Neuroscience 72
Countries citing papers authored by Kimberly Goodyear
This map shows the geographic impact of Kimberly Goodyear'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 Kimberly Goodyear with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly Goodyear more than expected).
Fields of papers citing papers by Kimberly Goodyear
This network shows the impact of papers produced by Kimberly Goodyear. 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 Kimberly Goodyear. The network helps show where Kimberly Goodyear may publish in the future.
Co-authorship network of co-authors of Kimberly Goodyear
This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly Goodyear. A scholar is included among the top collaborators of Kimberly Goodyear 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 Kimberly Goodyear. Kimberly Goodyear 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 | 2 | |
| 3 | 5 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 16 | |
| 11 | 3 | |
| 12 | 124 | |
| 13 | 37 | |
| 14 | 21 | |
| 15 | 7 | |
| 16 | 17 | |
| 17 | 77 | |
| 18 | 40 | |
| 19 | 9 | |
| 20 | 8 |
About Kimberly Goodyear
Kimberly Goodyear is a scholar working on General Decision Sciences, Epidemiology and Experimental and Cognitive Psychology, having authored 23 papers that have together received 540 indexed citations. Recurring topics across this work include Substance Abuse Treatment and Outcomes (11 papers), Opioid Use Disorder Treatment (8 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). The work is most often cited by research in Social Psychology (208 citations), General Decision Sciences (16 citations) and Cognitive Neuroscience (138 citations). Kimberly Goodyear has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Carolina L. Haass‐Koffler, Frank Krüeger, Sergey Chernyak, Raja Parasuraman, Simon B. Eickhoff, Gabriele Bellucci, Ewart J. de Visser, Lorenzo Leggio, Mary R. Lee and Poornima Madhavan. Their work appears in journals such as Psychopharmacology, Human Brain Mapping and Drug and Alcohol Dependence.
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.