David H. Goldberg

795 total citations
20 papers, 412 citations indexed

About

David H. Goldberg is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, David H. Goldberg has authored 20 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 8 papers in Electrical and Electronic Engineering and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in David H. Goldberg's work include Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (6 papers) and Neuroscience and Neural Engineering (5 papers). David H. Goldberg is often cited by papers focused on Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (6 papers) and Neuroscience and Neural Engineering (5 papers). David H. Goldberg collaborates with scholars based in United States and Argentina. David H. Goldberg's co-authors include Andreas G. Andreou, Gert Cauwenberghs, P. Julián, Daniel Gardner, Jonathan D. Victor, Esther P. Gardner, Leon N. Cooper, Philippe O. Pouliquen, M. Beckerman and Harel Z. Shouval and has published in prestigious journals such as Journal of Neuroscience, Neural Computation and Neurocomputing.

In The Last Decade

David H. Goldberg

19 papers receiving 379 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David H. Goldberg United States 13 198 194 135 59 53 20 412
Eyal Hulata Israel 8 71 0.4× 350 1.8× 245 1.8× 78 1.3× 65 1.2× 12 550
Martin Rehn Sweden 9 140 0.7× 259 1.3× 83 0.6× 108 1.8× 120 2.3× 14 410
David Rotermund Germany 11 64 0.3× 238 1.2× 107 0.8× 17 0.3× 62 1.2× 20 304
Mehdi Aghagolzadeh United States 9 81 0.4× 159 0.8× 121 0.9× 16 0.3× 65 1.2× 22 263
Nicolás Rubido Uruguay 12 69 0.3× 160 0.8× 59 0.4× 10 0.2× 53 1.0× 46 444
X. Arreguit Switzerland 8 272 1.4× 93 0.5× 88 0.7× 19 0.3× 50 0.9× 17 321
Aonan Tang United States 6 55 0.3× 266 1.4× 118 0.9× 6 0.1× 62 1.2× 7 404
Jussi Poikonen Finland 13 479 2.4× 47 0.2× 174 1.3× 26 0.4× 61 1.2× 66 563
Seif Eldawlatly Egypt 11 92 0.5× 360 1.9× 191 1.4× 54 0.9× 64 1.2× 59 462
Massimiliano Versace United States 10 192 1.0× 255 1.3× 127 0.9× 16 0.3× 121 2.3× 24 502

Countries citing papers authored by David H. Goldberg

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Goldberg, David H., Jonathan D. Victor, Esther P. Gardner, & Daniel Gardner. (2009). Spike Train Analysis Toolkit: Enabling Wider Application of Information-Theoretic Techniques to Neurophysiology. Neuroinformatics. 7(3). 165–178. 43 indexed citations
2.
Gardner, Daniel, et al.. (2008). Terminology for Neuroscience Data Discovery: Multi-tree Syntax and Investigator-Derived Semantics. Neuroinformatics. 6(3). 161–174. 12 indexed citations
3.
Goldberg, David H. & Andreas G. Andreou. (2007). Distortion of Neural Signals by Spike Coding. Neural Computation. 19(10). 2797–2839. 3 indexed citations
4.
Victor, Jonathan D., David H. Goldberg, & Daniel Gardner. (2006). Dynamic programming algorithms for comparing multineuronal spike trains via cost-based metrics and alignments. Journal of Neuroscience Methods. 161(2). 351–360. 12 indexed citations
5.
Goldberg, David H., et al.. (2006). VLSI implementation of an energy-aware wake-up detector for an acoustic surveillance sensor network. ACM Transactions on Sensor Networks. 2(4). 594–611. 13 indexed citations
6.
Julián, P., Andreas G. Andreou, & David H. Goldberg. (2006). A low-power correlation-derivative CMOS VLSI circuit for bearing estimation. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 14(2). 207–212. 12 indexed citations
7.
Goldberg, David H. & Andreas G. Andreou. (2004). Spike communication of dynamic stimuli: rate decoding versus temporal decoding. Neurocomputing. 58-60. 101–107. 3 indexed citations
8.
Goldberg, David H., et al.. (2004). A wake-up detector for an acoustic surveillance sensor network. 134–141. 32 indexed citations
9.
Julián, P., et al.. (2004). A Comparative Study of Sound Localization Algorithms for Energy Aware Sensor Network Nodes. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 51(4). 640–648. 42 indexed citations
10.
Goldberg, David H., S. P. Arun, & Andreas G. Andreou. (2003). Energy efficiency in a channel model for the spiking axon. Neurocomputing. 52-54. 39–44. 15 indexed citations
11.
Andreou, Andreas G., et al.. (2002). Heterogeneous integration of biomimetic acoustic microsystems. 2. 189–192. 7 indexed citations
12.
Goldberg, David H., Gert Cauwenberghs, & Andreas G. Andreou. (2002). Analog VLSI spiking neural network with address domain probabilistic synapses. 2. 241–244. 16 indexed citations
13.
Vogelstein, R. Jacob, et al.. (2002). Spike Timing-Dependent Plasticity in the Address Domain. 15. 1171–1178. 32 indexed citations
14.
Goldberg, David H., Gert Cauwenberghs, & Andreas G. Andreou. (2001). Probabilistic synaptic weighting in a reconfigurable network of VLSI integrate-and-fire neurons. Neural Networks. 14(6-7). 781–793. 93 indexed citations
15.
Shouval, Harel Z., David H. Goldberg, J.P. Jones, M. Beckerman, & Leon N. Cooper. (2000). Structured Long-Range Connections Can Provide a Scaffold for Orientation Maps. Journal of Neuroscience. 20(3). 1119–1128. 35 indexed citations
16.
Goldberg, David H., et al.. (1999). Lateral connectivity as a scaffold for developing orientation preference maps. Neurocomputing. 26-27. 381–387. 5 indexed citations
17.
Goldberg, David H., et al.. (1996). The Decline of the Soviet Union and the Transformation of the Middle East. International Journal Canada s Journal of Global Policy Analysis. 51(3). 593–593. 1 indexed citations
18.
Taras, David, et al.. (1990). The Domestic Battleground: Canada and the Arab-Israeli Conflict. Canadian Public Policy. 16(1). 103–103. 13 indexed citations
19.
Goldberg, David H.. (1990). Foreign Policy and Ethnic Interest Groups. Praeger eBooks. 10 indexed citations
20.
Broen, William E., Lowell H. Storms, & David H. Goldberg. (1963). Decreased discrimination as a function of increased drive.. Journal of Abnormal & Social Psychology. 67(3). 266–273. 13 indexed citations

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.

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