Gregg Vesonder
- Developmental and Educational Psychology top 2%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 5%
- Education top 5%
- Co-authors
- James F. VossGeorge J. SpilichHarry L. ChiesiGay L. BisanzSalvatore J. StolfoFrederick D. MillerHakim GhazzaiYehia Massoud
- Topics
- Visual and Cognitive Learning Processes (4 papers)Data Mining Algorithms and Applications (4 papers)Memory Processes and Influences (4 papers)
- Cited by
- Developmental and Educational PsychologyExperimental and Cognitive PsychologyCognitive Neuroscience
- Partner nations
- United StatesQatarMexico
In The Last Decade
Gregg Vesonder
43 papers receiving 887 citations
Peers
Comparison fields: 5 of 102
- Developmental and Educational Psychology 458
- Artificial Intelligence 304
- Cognitive Neuroscience 241
- Experimental and Cognitive Psychology 237
- Education 186
Countries citing papers authored by Gregg Vesonder
This map shows the geographic impact of Gregg Vesonder'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 Gregg Vesonder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregg Vesonder more than expected).
Fields of papers citing papers by Gregg Vesonder
This network shows the impact of papers produced by Gregg Vesonder. 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 Gregg Vesonder. The network helps show where Gregg Vesonder may publish in the future.
Co-authorship network of co-authors of Gregg Vesonder
This figure shows the co-authorship network connecting the top 25 collaborators of Gregg Vesonder. A scholar is included among the top collaborators of Gregg Vesonder 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 Gregg Vesonder. Gregg Vesonder 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 | 4 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 7 | |
| 9 | DarkNOC: dashboard for honeypot management | 2 |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | A Knowledge-Based Configurator that Supports Sales, Engineering, and Manufacturing at AT&T Network Systems | 24 |
| 14 | 56 | |
| 15 | 2 | |
| 16 | ACE: an expert system for telephone cable maintenance | 55 |
| 17 | 402 | |
| 18 | 6 | |
| 19 | 54 | |
| 20 | 3 |
About Gregg Vesonder
Gregg Vesonder is a scholar working on Computational Mathematics, Architecture and Information Systems, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Visual and Cognitive Learning Processes (4 papers), Data Mining Algorithms and Applications (4 papers) and Memory Processes and Influences (4 papers). The work is most often cited by research in Developmental and Educational Psychology (458 citations), Experimental and Cognitive Psychology (237 citations) and Cognitive Neuroscience (241 citations). Gregg Vesonder has collaborated with scholars based in United States, Qatar and Mexico. Frequent co-authors include James F. Voss, George J. Spilich, Harry L. Chiesi, Gay L. Bisanz, Salvatore J. Stolfo, Frederick D. Miller, Hakim Ghazzai, Yehia Massoud, Hamid Menouar and Tamraparni Dasu. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Journal of Memory and Language.
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.