Joseph D. Monaco

801 citations
16 papers · 483 · h-index 10

Impact in

    • Memory and Neural Mechanisms
    • Neural dynamics and brain function
    • Sleep and Wakefulness Research
    • Neuroscience and Neuropharmacology Research
    • Photoreceptor and optogenetics research
    • Neurobiology and Insect Physiology Research

Papers in

Joseph D. Monaco

14 papers receiving 473 citations

Peers

Joseph D. Monaco
Comparison fields: 5 of 59
  • Cognitive Neuroscience 403
  • Cellular and Molecular Neuroscience 322
  • Sensory Systems 47
  • Behavioral Neuroscience 19
  • Neurology 43
Replace Babak Tahvildari with:
Babak Tahvildari Canada
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James B. Priestley United States
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Joseph D. Monaco relative to Babak Tahvildari Canada Babak Tahvildari's profile →
Citations per field
00.5×4.7×
Babak Tahvildari · 1×
Citations per year

Countries citing papers authored by Joseph D. Monaco

Since Specialization
Citations

This map shows the geographic impact of Joseph D. Monaco'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. Monaco 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. Monaco more than expected).

Fields of papers citing papers by Joseph D. Monaco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph D. Monaco. 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. Monaco. The network helps show where Joseph D. Monaco may publish in the future.

Co-authors

The 25 scholars most cited alongside Joseph D. Monaco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joseph D. Monaco Line = papers co-authored together Joseph D. Monaco links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2009108
2 2014107
3 201184
4 201840
5 201127
6 202326
7 202022
8 202019
9 201918
10 200714
11 20046
12 20195
13 20224
14 20223
15 20220
16 20220

About Joseph D. Monaco

Joseph D. Monaco is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence, Sensory Systems and Electrical and Electronic Engineering, having authored 16 papers that have together received 483 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (9 papers), Neuroscience and Neuropharmacology Research (6 papers), Neural dynamics and brain function (6 papers), Olfactory and Sensory Function Studies (3 papers), Neuroscience and Neural Engineering (2 papers), Sleep and Wakefulness Research (2 papers), Advanced Memory and Neural Computing (2 papers) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Cognitive Neuroscience (403 citations), Cellular and Molecular Neuroscience (322 citations), Sensory Systems (47 citations), Behavioral Neuroscience (19 citations) and Neurology (43 citations). Joseph D. Monaco has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include James Knierim, L. F. Abbott, Eric D. Roth, Geeta Rao, Kechen Zhang, Larry Abbott, Eric R. Kandel, Clifford G. Kentros, Jayant Kulkarni and Liat Levita. Their work appears in journals such as Journal of Neuroscience, Biological Cybernetics, PLoS Biology, Current Biology and PLoS Computational 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.

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