Daniel J. Pittman
- Cognitive Neuroscience top 5%
- Psychiatry and Mental health top 10%
- Radiology, Nuclear Medicine and Imaging
- Cellular and Molecular Neuroscience
- Social Psychology
- Co-authors
- Bradley G. GoodyearPaolo FedericoYahya AghakhaniIsmael Gaxiola‐ValdezPenny M. PexmanIan S. HargreavesLuis Bello‐EspinosaJeffrey Jirsch
- Topics
- Functional Brain Connectivity Studies (15 papers)Advanced MRI Techniques and Applications (7 papers)EEG and Brain-Computer Interfaces (7 papers)
- Partner nations
- CanadaUnited States
In The Last Decade
Daniel J. Pittman
20 papers receiving 352 citations
Peers
Comparison fields: 5 of 52
- Cognitive Neuroscience 269
- Psychiatry and Mental health 110
- Radiology, Nuclear Medicine and Imaging 95
- Cellular and Molecular Neuroscience 71
- Social Psychology 49
Countries citing papers authored by Daniel J. Pittman
This map shows the geographic impact of Daniel J. Pittman'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 Daniel J. Pittman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Pittman more than expected).
Fields of papers citing papers by Daniel J. Pittman
This network shows the impact of papers produced by Daniel J. Pittman. 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 Daniel J. Pittman. The network helps show where Daniel J. Pittman may publish in the future.
Co-authorship network of co-authors of Daniel J. Pittman
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Pittman. A scholar is included among the top collaborators of Daniel J. Pittman 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 Daniel J. Pittman. Daniel J. Pittman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 20 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 25 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 18 | |
| 11 | 14 | |
| 12 | 3 | |
| 13 | 52 | |
| 14 | 33 | |
| 15 | 17 | |
| 16 | 32 | |
| 17 | 44 | |
| 18 | 43 | |
| 19 | 17 | |
| 20 | 1 |
About Daniel J. Pittman
Daniel J. Pittman is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 358 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (15 papers), Advanced MRI Techniques and Applications (7 papers) and EEG and Brain-Computer Interfaces (7 papers). The work is most often cited by research in Cognitive Neuroscience (269 citations), Psychiatry and Mental health (110 citations) and Radiology, Nuclear Medicine and Imaging (95 citations). Daniel J. Pittman has collaborated with scholars based in Canada and United States. Frequent co-authors include Bradley G. Goodyear, Paolo Federico, Yahya Aghakhani, Ismael Gaxiola‐Valdez, Penny M. Pexman, Ian S. Hargreaves, Luis Bello‐Espinosa, Jeffrey Jirsch, Neelan Pillay and Colin B. Josephson. Their work appears in journals such as NeuroImage, Brain and Journal of Abnormal Psychology.
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.