David H. Goldberg
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience top 10%
- Signal Processing top 10%
- Artificial Intelligence
- Co-authors
- Andreas G. AndreouGert CauwenberghsP. JuliánDaniel GardnerJonathan D. VictorEsther P. GardnerLeon N. CooperPhilippe O. Pouliquen
- Topics
- Neural dynamics and brain function (9 papers)Advanced Memory and Neural Computing (6 papers)Neuroscience and Neural Engineering (5 papers)
- Partner nations
- United StatesArgentina
In The Last Decade
David H. Goldberg
19 papers receiving 379 citations
Peers
Comparison fields: 5 of 71
- Electrical and Electronic Engineering 198
- Cognitive Neuroscience 194
- Cellular and Molecular Neuroscience 135
- Signal Processing 59
- Artificial Intelligence 53
Countries citing papers authored by David H. Goldberg
This map shows the geographic impact of David H. Goldberg'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 David H. Goldberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David H. Goldberg more than expected).
Fields of papers citing papers by David H. Goldberg
This network shows the impact of papers produced by David H. Goldberg. 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 David H. Goldberg. The network helps show where David H. Goldberg may publish in the future.
Co-authorship network of co-authors of David H. Goldberg
This figure shows the co-authorship network connecting the top 25 collaborators of David H. Goldberg. A scholar is included among the top collaborators of David H. Goldberg 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 David H. Goldberg. David H. Goldberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 12 | |
| 3 | 3 | |
| 4 | 12 | |
| 5 | 13 | |
| 6 | 12 | |
| 7 | 32 | |
| 8 | 3 | |
| 9 | 42 | |
| 10 | 15 | |
| 11 | 7 | |
| 12 | Spike Timing-Dependent Plasticity in the Address Domain | 32 |
| 13 | 16 | |
| 14 | 93 | |
| 15 | 35 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 13 | |
| 19 | 10 | |
| 20 | 13 |
About David H. Goldberg
David H. Goldberg is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Signal Processing, having authored 20 papers that have together received 412 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (6 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Cognitive Neuroscience (194 citations), Cellular and Molecular Neuroscience (135 citations) and Signal Processing (59 citations). David H. Goldberg has collaborated with scholars based in United States and Argentina. Frequent co-authors include Andreas G. Andreou, Gert Cauwenberghs, P. Julián, Daniel Gardner, Jonathan D. Victor, Esther P. Gardner, Leon N. Cooper, Philippe O. Pouliquen, Harel Z. Shouval and Shihab Shamma. Their work appears in journals such as Journal of Neuroscience, Neural Computation and Neurocomputing.
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.