Philip H. Goodman
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Artificial Intelligence top 5%
- Molecular Biology
- Electrical and Electronic Engineering
- Co-authors
- Henry MarkramThomas K. BergerJunying MaPatricia S. Goldman‐RakicYun WangDavid B. RosenHarry BurkeFrank E. Harrell
- Topics
- Neural dynamics and brain function (9 papers)Neural Networks and Applications (7 papers)Advanced Memory and Neural Computing (6 papers)
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
Philip H. Goodman
37 papers receiving 932 citations
Peers
Comparison fields: 5 of 130
- Cognitive Neuroscience 414
- Cellular and Molecular Neuroscience 314
- Artificial Intelligence 223
- Molecular Biology 138
- Electrical and Electronic Engineering 136
Countries citing papers authored by Philip H. Goodman
This map shows the geographic impact of Philip H. Goodman'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 Philip H. Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip H. Goodman more than expected).
Fields of papers citing papers by Philip H. Goodman
This network shows the impact of papers produced by Philip H. Goodman. 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 Philip H. Goodman. The network helps show where Philip H. Goodman may publish in the future.
Co-authorship network of co-authors of Philip H. Goodman
This figure shows the co-authorship network connecting the top 25 collaborators of Philip H. Goodman. A scholar is included among the top collaborators of Philip H. Goodman 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 Philip H. Goodman. Philip H. Goodman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Real-Time Emotional Speech Processing for Neurorobotics Applications. | 2 |
| 3 | 11 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 22 | |
| 7 | 23 | |
| 8 | 348 | |
| 9 | A novel parallel hardware and software solution for a large-scale biologically realistic cortical simulation. | 4 |
| 10 | 77 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | Design and Implementation of a Web Portal for a NeoCortical Simulator. | 3 |
| 15 | 19 | |
| 16 | 274 | |
| 17 | 8 | |
| 18 | Comparing the prediction accuracy of artificial neural networks and other statistical models for breast cancer survival | 24 |
| 19 | 2 | |
| 20 | 2 |
About Philip H. Goodman
Philip H. Goodman is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Emergency Medicine, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Neural Networks and Applications (7 papers) and Advanced Memory and Neural Computing (6 papers). The work is most often cited by research in Cognitive Neuroscience (414 citations), Cellular and Molecular Neuroscience (314 citations) and Health Information Management (71 citations). Philip H. Goodman has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Henry Markram, Thomas K. Berger, Junying Ma, Patricia S. Goldman‐Rakic, Yun Wang, David B. Rosen, Harry Burke, Frank E. Harrell, David G. Bostwick and John N. Weinstein. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Nature Neuroscience and The Journal of Physiology.
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.