Jennifer M. Shephard
- Automotive Engineering top 5%
- Spatial Cognition and Navigation 2
-
- Visual and Cognitive Learning Processes 2
- Mental Health Research Topics 1
- Cognitive Neuroscience top 10%
- Motor Control and Adaptation 1
- Neural and Behavioral Psychology Studies 1
- Human-Computer Interaction top 10%
-
- Design Education and Practice 2
-
- Advanced MRI Techniques and Applications 1
-
- Behavioral Health and Interventions 1
- Co-authors
- Stephen M. KosslynMaría KozhevnikovMaryjane WragaSouheil InatiJessica A. ChurchJ. C. ElliottKlaus GramannRogier Kievit
- Partner nations
- United StatesNetherlandsSingapore
In The Last Decade
Jennifer M. Shephard
9 papers receiving 555 citations
Peers
Comparison fields: 5 of 97
- Automotive Engineering 209
- Experimental and Cognitive Psychology 225
- Cognitive Neuroscience 206
- Developmental and Educational Psychology 122
- Human-Computer Interaction 47
Countries citing papers authored by Jennifer M. Shephard
This map shows the geographic impact of Jennifer M. Shephard'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 Jennifer M. Shephard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer M. Shephard more than expected).
Fields of papers citing papers by Jennifer M. Shephard
This network shows the impact of papers produced by Jennifer M. Shephard. 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 Jennifer M. Shephard. The network helps show where Jennifer M. Shephard may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Jennifer M. Shephard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Evaluating the impact of positive behaviour support training on staff knowledge, attributions, emotional responses and helping behaviour; capturing hearts and minds | 2013 | 8 |
| 2 | 2013 | 44 | |
| 3 | 2012 | 39 | |
| 4 | The Harvard Sampler: Liberal Education for the Twenty-First Century | 2011 | 3 |
| 5 | 2011 | 0 | |
| 6 | 2006 | 7 | |
| 7 | 2005 | 120 | |
| 8 | 2005 | 330 | |
| 9 | The minicog rapid assessment battery: developing a "blood pressure cuff for the mind". | 2005 | 20 |
| 10 | 2004 | 20 |
About Jennifer M. Shephard
Jennifer M. Shephard is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Applied Psychology, having authored 10 papers that have together received 591 indexed citations. Recurring topics across this work include Visual and Cognitive Learning Processes (2 papers), Design Education and Practice (2 papers), Spatial Cognition and Navigation (2 papers), Motor Control and Adaptation (1 paper), Advanced MRI Techniques and Applications (1 paper), Mental Health Research Topics (1 paper), Neural and Behavioral Psychology Studies (1 paper) and Behavioral Health and Interventions (1 paper). The work is most often cited by research in Automotive Engineering (209 citations), Experimental and Cognitive Psychology (225 citations) and Cognitive Neuroscience (206 citations). Jennifer M. Shephard has collaborated with scholars based in United States, Netherlands and Singapore. Frequent co-authors include Stephen M. Kosslyn, María Kozhevnikov, Maryjane Wraga, Souheil Inati, Jessica A. Church, J. C. Elliott, Klaus Gramann, Rogier Kievit, Alexandra G. Russell and Giorgio Ganis. Their work appears in journals such as Memory & Cognition, Frontiers in Psychology, Neuropsychologia, Behavior Research Methods and PLoS ONE.
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.