Howard J. Kallman
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Developmental and Educational Psychology
- Co-authors
- Dominic W. MassaroGeoffrey R. LoftusMichael C. CorballisJanet L. KellyW. W. NelsonStephen C. HirtleJason W. BecksteadDenise Davidson
- Topics
- Neuroscience and Music Perception (13 papers)Hearing Loss and Rehabilitation (9 papers)Multisensory perception and integration (9 papers)
- Journals
- Annals of the New York Academy of SciencesThe Journal of the Acoustical Society of AmericaNeuropsychologia
- Partner nations
- United StatesCanada
In The Last Decade
Howard J. Kallman
29 papers receiving 500 citations
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 484
- Experimental and Cognitive Psychology 237
- Signal Processing 111
- Computer Vision and Pattern Recognition 67
- Developmental and Educational Psychology 61
Countries citing papers authored by Howard J. Kallman
This map shows the geographic impact of Howard J. Kallman'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 Howard J. Kallman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard J. Kallman more than expected).
Fields of papers citing papers by Howard J. Kallman
This network shows the impact of papers produced by Howard J. Kallman. 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 Howard J. Kallman. The network helps show where Howard J. Kallman may publish in the future.
Co-authorship network of co-authors of Howard J. Kallman
This figure shows the co-authorship network connecting the top 25 collaborators of Howard J. Kallman. A scholar is included among the top collaborators of Howard J. Kallman 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 Howard J. Kallman. Howard J. Kallman 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 | 1 | |
| 4 | 7 | |
| 5 | 17 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 10 | |
| 13 | 44 | |
| 14 | 17 | |
| 15 | 6 | |
| 16 | 38 | |
| 17 | 8 | |
| 18 | 41 | |
| 19 | 16 | |
| 20 | 20 |
About Howard J. Kallman
Howard J. Kallman is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Signal Processing, having authored 30 papers that have together received 561 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (13 papers), Hearing Loss and Rehabilitation (9 papers) and Multisensory perception and integration (9 papers). The work is most often cited by research in Cognitive Neuroscience (484 citations), Experimental and Cognitive Psychology (237 citations) and Signal Processing (111 citations). Howard J. Kallman has collaborated with scholars based in United States and Canada. Frequent co-authors include Dominic W. Massaro, Geoffrey R. Loftus, Michael C. Corballis, Janet L. Kelly, W. W. Nelson, Stephen C. Hirtle, Jason W. Beckstead, Denise Davidson, Eileen M. Joyce and James H. Neely. Their work appears in journals such as Annals of the New York Academy of Sciences, The Journal of the Acoustical Society of America and Neuropsychologia.
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.