Daniel S. Levine
- General Decision Sciences top 5%
- Decision-Making and Behavioral Economics 10
- Nephrology top 2%
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 23
- Neural and Behavioral Psychology Studies 15
- Cognitive Science and Education Research 13
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- Mental Health Research Topics 7
- Artificial Intelligence top 5%
- Neural Networks and Applications 15
- Cognitive Science and Mapping 12
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- Mathematical and Theoretical Epidemiology and Ecology Models 11
- Co-authors
- Stephen GrossbergDouglas G. MatsellPeter SkippenJean‐Paul ColletCherry MammenHelen NadelLeonid PerlovskyMorton E. Gurtin
- Journals
- Neural Networks (9 papers)Mathematical Biosciences (6 papers)Behavioral and Brain Sciences (6 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Daniel S. Levine
114 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- General Decision Sciences 92
- Nephrology 357
- Cognitive Neuroscience 817
- Experimental and Cognitive Psychology 190
- Artificial Intelligence 460
Countries citing papers authored by Daniel S. Levine
This map shows the geographic impact of Daniel S. Levine'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 Daniel S. Levine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Levine more than expected).
Fields of papers citing papers by Daniel S. Levine
This network shows the impact of papers produced by Daniel S. Levine. 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 Daniel S. Levine. The network helps show where Daniel S. Levine may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel S. Levine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 8 | |
| 2 | A review of the certainty effect and influence of information processing | 2013 | 1 |
| 3 | 2013 | 3 | |
| 4 | 2012 | 11 | |
| 5 | 2011 | 3 | |
| 6 | Neural networks of human nature and nurture | 2008 | 3 |
| 7 | Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence: Fourth International Conference on Intelligent Computing | 2008 | 2 |
| 8 | Advanced Intelligent Computing Theories and Applications With Aspects of Contemporary Intelligent Computing Techniques: 4th International Conference on ... in Computer and Information Science) | 2008 | 1 |
| 9 | 2006 | 15 | |
| 10 | 2006 | 64 | |
| 11 | 2005 | 3 | |
| 12 | 2005 | 10 | |
| 13 | 2001 | 25 | |
| 14 | 2000 | 16 | |
| 15 | Disease: neural network models | 1998 | 1 |
| 16 | 1993 | 14 | |
| 17 | 1991 | 9 | |
| 18 | The third wave in neural networks | 1989 | 4 |
| 19 | 1985 | 3 | |
| 20 | 1968 | 1 |
About Daniel S. Levine
Daniel S. Levine is a scholar working on General Decision Sciences, Cognitive Neuroscience and General Psychology, having authored 123 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (23 papers), Neural Networks and Applications (15 papers), Neural and Behavioral Psychology Studies (15 papers), Cognitive Science and Education Research (13 papers), Cognitive Science and Mapping (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Decision-Making and Behavioral Economics (10 papers) and Mental Health Research Topics (7 papers). The work is most often cited by research in General Decision Sciences (92 citations), Nephrology (357 citations) and Cognitive Neuroscience (817 citations). Daniel S. Levine has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Stephen Grossberg, Douglas G. Matsell, Peter Skippen, Jean‐Paul Collet, Cherry Mammen, Helen Nadel, Leonid Perlovsky, Morton E. Gurtin, Frank L. Lewis and Riane Eisler. Their work appears in journals such as Neural Networks, Mathematical Biosciences, Behavioral and Brain Sciences, Neurocomputing and Bulletin of Mathematical Biology.
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.