Michael D. Melnick

693 total citations
19 papers, 400 citations indexed

About

Michael D. Melnick is a scholar working on Cognitive Neuroscience, Epidemiology and Molecular Biology. According to data from OpenAlex, Michael D. Melnick has authored 19 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 6 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in Michael D. Melnick's work include Visual perception and processing mechanisms (17 papers), Neural dynamics and brain function (9 papers) and Ophthalmology and Visual Impairment Studies (5 papers). Michael D. Melnick is often cited by papers focused on Visual perception and processing mechanisms (17 papers), Neural dynamics and brain function (9 papers) and Ophthalmology and Visual Impairment Studies (5 papers). Michael D. Melnick collaborates with scholars based in United States, Italy and Czechia. Michael D. Melnick's co-authors include Duje Tadin, Krystel R. Huxlin, Kevin C. Dieter, Loisa Bennetto, Benjamin J. Harrison, Sohee Park, Sara Agosta, Lorella Battelli, Anasuya Das and Randolph Blake and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Michael D. Melnick

17 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D. Melnick United States 9 320 86 65 56 46 19 400
Sara Ajina United Kingdom 11 368 1.1× 76 0.9× 59 0.9× 33 0.6× 33 0.7× 23 446
Ceri T. Trevethan United Kingdom 12 422 1.3× 135 1.6× 42 0.6× 89 1.6× 32 0.7× 18 504
Dorothe A. Poggel Germany 15 462 1.4× 232 2.7× 71 1.1× 137 2.4× 35 0.8× 21 594
H. Crewes United Kingdom 6 294 0.9× 80 0.9× 38 0.6× 35 0.6× 17 0.4× 8 366
Emmanuel Bui-Quoc France 16 287 0.9× 93 1.1× 69 1.1× 48 0.9× 15 0.3× 23 624
Sabira K. Mannan United Kingdom 11 539 1.7× 46 0.5× 49 0.8× 30 0.5× 15 0.3× 15 608
Anna E. Ipata United States 10 465 1.5× 48 0.6× 65 1.0× 21 0.4× 49 1.1× 13 601
Elio M. Santos United States 12 303 0.9× 108 1.3× 32 0.5× 52 0.9× 11 0.2× 22 392
Jianliang Tong United States 13 286 0.9× 136 1.6× 42 0.6× 113 2.0× 31 0.7× 29 390
Alison L. Finlay United Kingdom 7 363 1.1× 218 2.5× 40 0.6× 86 1.5× 9 0.2× 11 460

Countries citing papers authored by Michael D. Melnick

Since Specialization
Citations

This map shows the geographic impact of Michael D. Melnick'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 Michael D. Melnick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Melnick more than expected).

Fields of papers citing papers by Michael D. Melnick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael D. Melnick

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Melnick. A scholar is included among the top collaborators of Michael D. Melnick 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 Michael D. Melnick. Michael D. Melnick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Melnick, Michael D., et al.. (2024). Limited Restoration of Contrast Sensitivity with Training after V1 Damage in Humans. eNeuro. 11(3). ENEURO.0020–24.2024.
2.
Barbot, Antoine, Anasuya Das, Michael D. Melnick, et al.. (2021). Spared perilesional V1 activity underlies training-induced recovery of luminance detection sensitivity in cortically-blind patients. Nature Communications. 12(1). 6102–6102. 33 indexed citations
3.
Tadin, Duje, et al.. (2020). Functional preservation and enhanced capacity for visual restoration in subacute occipital stroke. Brain. 143(6). 1857–1872. 35 indexed citations
4.
Tadin, Duje, et al.. (2019). Spatial suppression promotes rapid figure-ground segmentation of moving objects. Nature Communications. 10(1). 2732–2732. 36 indexed citations
5.
Melnick, Michael D., et al.. (2019). Boosting Learning Efficacy with Noninvasive Brain Stimulation in Intact and Brain-Damaged Humans. Journal of Neuroscience. 39(28). 5551–5561. 57 indexed citations
7.
Barbot, Antoine, Michael D. Melnick, Anasuya Das, et al.. (2018). Visual recovery in chronic cortically-blind patients relies on spared cortical activity and increased V1 coverage of the blind field. Journal of Vision. 18(10). 1074–1074. 2 indexed citations
8.
Melnick, Michael D., Elisha P. Merriam, David J. Heeger, & Krystel R. Huxlin. (2017). Training-induced recovery of fMRI-based motion adaptation signals in V1 damaged humans. Journal of Vision. 17(7). 16–16. 2 indexed citations
9.
Barbot, Antoine, Michael D. Melnick, Anasuya Das, et al.. (2017). Pre-training cortical activity preserved after V1 damage predicts sites of training-induced visual recovery. Journal of Vision. 17(15). 17–17. 1 indexed citations
10.
Dieter, Kevin C., Michael D. Melnick, & Duje Tadin. (2016). Perceptual training profoundly alters binocular rivalry through both sensory and attentional enhancements. Proceedings of the National Academy of Sciences. 113(45). 12874–12879. 19 indexed citations
11.
Melnick, Michael D., et al.. (2016). Visual discrimination training shrinks cortically blind fields and improves quality of life in chronic stroke patients. Journal of Vision. 16(12). 31–31. 3 indexed citations
12.
Dieter, Kevin C., Michael D. Melnick, & Duje Tadin. (2015). When can attention influence binocular rivalry?. Attention Perception & Psychophysics. 77(6). 1908–1918. 22 indexed citations
13.
Melnick, Michael D., et al.. (2015). Transcranial Random Noise Stimulation Enhances Visual Learning In Healthy Adults. Journal of Vision. 15(12). 40–40. 7 indexed citations
14.
Melnick, Michael D., Duje Tadin, & Krystel R. Huxlin. (2015). Relearning to See in Cortical Blindness. The Neuroscientist. 22(2). 199–212. 54 indexed citations
15.
Zhang, Ru‐Yuan, Michael D. Melnick, Anasuya Das, et al.. (2015). Visual recovery in cortical blindness is limited by high internal noise. Journal of Vision. 15(10). 9–9. 41 indexed citations
16.
Melnick, Michael D., Kevin C. Dieter, & Duje Tadin. (2014). Highly abnormal visual context processing in older adults. Journal of Vision. 14(10). 215–215. 1 indexed citations
17.
Melnick, Michael D., Benjamin J. Harrison, Sohee Park, Loisa Bennetto, & Duje Tadin. (2013). A Strong Interactive Link between Sensory Discriminations and Intelligence. Current Biology. 23(11). 1013–1017. 83 indexed citations
18.
Melnick, Michael D. & Duje Tadin. (2012). The strength of contextual modulation does not correlate across visual sub-modalities. 12(9). 1300–1300. 1 indexed citations
19.
Melnick, Michael D. & Duje Tadin. (2011). A strong interactive link between sensory discrimination and intelligence. Journal of Vision. 11(11). 810–810. 3 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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