James H. Howard
- Cognitive Neuroscience top 5%
- Developmental and Educational Psychology top 5%
- Social Psychology top 10%
- Experimental and Cognitive Psychology
- Statistics and Probability top 10%
- Co-authors
- Darlene V. HowardSharon A. MutterDavid J. GettyJohn B. PittengerJennifer C. RomanoIlana J. BennettMichael WelshJerald T. Milanich
- Topics
- Visual and Cognitive Learning Processes (2 papers)Child and Animal Learning Development (2 papers)Archaeology and Natural History (2 papers)
- Journals
- Annals of the New York Academy of SciencesDevelopmental PsychologyJournal of Experimental Psychology Learning Memory and Cognition
- Partner nations
- United StatesCanadaItaly
In The Last Decade
James H. Howard
14 papers receiving 446 citations
Peers
Comparison fields: 5 of 90
- Cognitive Neuroscience 293
- Developmental and Educational Psychology 163
- Social Psychology 114
- Experimental and Cognitive Psychology 45
- Statistics and Probability 39
Countries citing papers authored by James H. Howard
This map shows the geographic impact of James H. Howard'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 James H. Howard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James H. Howard more than expected).
Fields of papers citing papers by James H. Howard
This network shows the impact of papers produced by James H. Howard. 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 James H. Howard. The network helps show where James H. Howard may publish in the future.
Co-authorship network of co-authors of James H. Howard
This figure shows the co-authorship network connecting the top 25 collaborators of James H. Howard. A scholar is included among the top collaborators of James H. Howard 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 James H. Howard. James H. Howard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 44 | |
| 3 | 9 | |
| 4 | 35 | |
| 5 | 128 | |
| 6 | 138 | |
| 7 | The self-selected walking pace test and beta blockade. | 1 |
| 8 | 8 | |
| 9 | 17 | |
| 10 | 37 | |
| 11 | 2 | |
| 12 | 18 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 10 |
About James H. Howard
James H. Howard is a scholar working on Medical Laboratory Technology, Experimental and Cognitive Psychology and Developmental and Educational Psychology, having authored 15 papers that have together received 472 indexed citations. Recurring topics across this work include Visual and Cognitive Learning Processes (2 papers), Child and Animal Learning Development (2 papers) and Archaeology and Natural History (2 papers). The work is most often cited by research in Cognitive Neuroscience (293 citations), Developmental and Educational Psychology (163 citations) and Social Psychology (114 citations). James H. Howard has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Darlene V. Howard, Sharon A. Mutter, David J. Getty, John B. Pittenger, Jennifer C. Romano, Ilana J. Bennett, Michael Welsh, Jerald T. Milanich, Gertrude P. Kurath and Douglas D.R. Naudie. Their work appears in journals such as Annals of the New York Academy of Sciences, Developmental Psychology 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.