Joseph D. Hart
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Co-authors
- Rajarshi RoyThomas E. MurphyKanika BansalFrancesco SorrentinoLouis M. PecoraThomas L. CarrollAdilson E. MotterYuanzhao Zhang
- Topics
- Neural Networks and Reservoir Computing (18 papers)Nonlinear Dynamics and Pattern Formation (12 papers)Optical Network Technologies (7 papers)
- Cited by
- Acoustics and UltrasonicsStatistical and Nonlinear PhysicsComputer Networks and Communications
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Joseph D. Hart
25 papers receiving 463 citations
Peers
Comparison fields: 5 of 52
- Computer Networks and Communications 282
- Statistical and Nonlinear Physics 166
- Artificial Intelligence 157
- Electrical and Electronic Engineering 135
- Cognitive Neuroscience 117
Countries citing papers authored by Joseph D. Hart
This map shows the geographic impact of Joseph D. Hart'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 Joseph D. Hart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph D. Hart more than expected).
Fields of papers citing papers by Joseph D. Hart
This network shows the impact of papers produced by Joseph D. Hart. 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 Joseph D. Hart. The network helps show where Joseph D. Hart may publish in the future.
Co-authorship network of co-authors of Joseph D. Hart
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph D. Hart. A scholar is included among the top collaborators of Joseph D. Hart 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 Joseph D. Hart. Joseph D. Hart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 14 | |
| 8 | 3 | |
| 9 | 18 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 24 | |
| 13 | 34 | |
| 14 | 41 | |
| 15 | 23 | |
| 16 | 6 | |
| 17 | 25 | |
| 18 | Commentary: Evaluating photonic random number generators | 1 |
| 19 | Experimental observation of chimeras in a minimal globally-coupled network | 2 |
| 20 | 22 |
About Joseph D. Hart
Joseph D. Hart is a scholar working on Acoustics and Ultrasonics, Artificial Intelligence and Computer Networks and Communications, having authored 29 papers that have together received 477 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (18 papers), Nonlinear Dynamics and Pattern Formation (12 papers) and Optical Network Technologies (7 papers). The work is most often cited by research in Acoustics and Ultrasonics (13 citations), Statistical and Nonlinear Physics (166 citations) and Computer Networks and Communications (282 citations). Joseph D. Hart has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Rajarshi Roy, Thomas E. Murphy, Kanika Bansal, Francesco Sorrentino, Louis M. Pecora, Thomas L. Carroll, Adilson E. Motter, Yuanzhao Zhang, Laurent Larger and Gerald Baumgartner. Their work appears in journals such as Physical Review Letters, Nature Communications and Optics Express.
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.