Franklin M. Zaromb
- Cognitive Neuroscience top 5%
- Developmental and Educational Psychology top 5%
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology top 5%
- Social Psychology top 10%
- Co-authors
- Henry L. RoedigerJeffrey D. KarpickeMichael J. KahanaMarc W. HowardArthur WingfieldAndrew C. ButlerKeith B. LylePooja K. Agarwal
- Topics
- Memory Processes and Influences (9 papers)Intelligent Tutoring Systems and Adaptive Learning (5 papers)Educational Strategies and Epistemologies (3 papers)
- Cited by
- Cognitive NeuroscienceDevelopmental and Educational PsychologyExperimental and Cognitive Psychology
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Franklin M. Zaromb
21 papers receiving 791 citations
Peers
Comparison fields: 5 of 77
- Cognitive Neuroscience 541
- Developmental and Educational Psychology 275
- Artificial Intelligence 188
- Experimental and Cognitive Psychology 186
- Social Psychology 164
Countries citing papers authored by Franklin M. Zaromb
This map shows the geographic impact of Franklin M. Zaromb'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 Franklin M. Zaromb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franklin M. Zaromb more than expected).
Fields of papers citing papers by Franklin M. Zaromb
This network shows the impact of papers produced by Franklin M. Zaromb. 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 Franklin M. Zaromb. The network helps show where Franklin M. Zaromb may publish in the future.
Co-authorship network of co-authors of Franklin M. Zaromb
This figure shows the co-authorship network connecting the top 25 collaborators of Franklin M. Zaromb. A scholar is included among the top collaborators of Franklin M. Zaromb 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 Franklin M. Zaromb. Franklin M. Zaromb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 18 | |
| 3 | 24 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 21 | |
| 8 | Using No-Stakes Educational Testing to Mitigate Summer Learning Loss: A Pilot Study. Research Report. ETS RR-14-21. | 1 |
| 9 | 3 | |
| 10 | 61 | |
| 11 | 155 | |
| 12 | 24 | |
| 13 | 3 | |
| 14 | 12 | |
| 15 | 11 | |
| 16 | 72 | |
| 17 | 116 | |
| 18 | 66 | |
| 19 | 11 | |
| 20 | 122 |
About Franklin M. Zaromb
Franklin M. Zaromb is a scholar working on General Decision Sciences, Cognitive Neuroscience and Family Practice, having authored 21 papers that have together received 844 indexed citations. Recurring topics across this work include Memory Processes and Influences (9 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers) and Educational Strategies and Epistemologies (3 papers). The work is most often cited by research in Cognitive Neuroscience (541 citations), Developmental and Educational Psychology (275 citations) and Experimental and Cognitive Psychology (186 citations). Franklin M. Zaromb has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Henry L. Roediger, Jeffrey D. Karpicke, Michael J. Kahana, Marc W. Howard, Arthur Wingfield, Andrew C. Butler, Keith B. Lyle, Pooja K. Agarwal, Emily Dolan and Yevgeniy B. Sirotin. Their work appears in journals such as PLoS ONE, American Psychologist and 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.