Melissa Lehman
- Cognitive Neuroscience top 5%
- Developmental and Educational Psychology top 5%
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology top 10%
- Social Psychology top 10%
- Co-authors
- Jeffrey D. KarpickeKenneth J. MalmbergWilliam R. AueMegan A. SmithJames S. NairneMindi CogdillSiri‐Maria KampLili Sahakyan
- Topics
- Memory Processes and Influences (10 papers)Memory and Neural Mechanisms (5 papers)Intelligent Tutoring Systems and Adaptive Learning (3 papers)
- Cited by
- Cognitive NeuroscienceDevelopmental and Educational PsychologyExperimental and Cognitive Psychology
- Journals
- Psychological ReviewJournal of Experimental Psychology Learning Memory and CognitionCurrent Directions in Psychological Science
- Partner nations
- United StatesGermany
In The Last Decade
Melissa Lehman
12 papers receiving 566 citations
Peers
Comparison fields: 5 of 65
- Cognitive Neuroscience 455
- Developmental and Educational Psychology 225
- Artificial Intelligence 191
- Experimental and Cognitive Psychology 157
- Social Psychology 88
Countries citing papers authored by Melissa Lehman
This map shows the geographic impact of Melissa Lehman'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 Melissa Lehman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Lehman more than expected).
Fields of papers citing papers by Melissa Lehman
This network shows the impact of papers produced by Melissa Lehman. 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 Melissa Lehman. The network helps show where Melissa Lehman may publish in the future.
Co-authorship network of co-authors of Melissa Lehman
This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Lehman. A scholar is included among the top collaborators of Melissa Lehman 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 Melissa Lehman. Melissa Lehman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 20 | |
| 4 | 6 | |
| 5 | 17 | |
| 6 | 116 | |
| 7 | 4 | |
| 8 | Retrieval-Based Learning: An Episodic Context Account | 224 |
| 9 | 95 | |
| 10 | 29 | |
| 11 | 59 | |
| 12 | On the Cost and Benefit of Taking it out of Context: Modeling the Inhibition Associated with Directed Forgetting | 6 |
About Melissa Lehman
Melissa Lehman is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Artificial Intelligence, having authored 12 papers that have together received 582 indexed citations. Recurring topics across this work include Memory Processes and Influences (10 papers), Memory and Neural Mechanisms (5 papers) and Intelligent Tutoring Systems and Adaptive Learning (3 papers). The work is most often cited by research in Cognitive Neuroscience (455 citations), Developmental and Educational Psychology (225 citations) and Experimental and Cognitive Psychology (157 citations). Melissa Lehman has collaborated with scholars based in United States and Germany. Frequent co-authors include Jeffrey D. Karpicke, Kenneth J. Malmberg, William R. Aue, Megan A. Smith, James S. Nairne, Mindi Cogdill, Siri‐Maria Kamp, Lili Sahakyan and Emanuel Donchin. Their work appears in journals such as Psychological Review, Journal of Experimental Psychology Learning Memory and Cognition and Current Directions in Psychological Science.
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.