Maia Kipman

659 total citations
12 papers, 478 citations indexed

About

Maia Kipman is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Clinical Psychology. According to data from OpenAlex, Maia Kipman has authored 12 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 7 papers in Experimental and Cognitive Psychology and 4 papers in Clinical Psychology. Recurrent topics in Maia Kipman's work include Sleep and related disorders (5 papers), Sleep and Wakefulness Research (5 papers) and Eating Disorders and Behaviors (3 papers). Maia Kipman is often cited by papers focused on Sleep and related disorders (5 papers), Sleep and Wakefulness Research (5 papers) and Eating Disorders and Behaviors (3 papers). Maia Kipman collaborates with scholars based in United States. Maia Kipman's co-authors include William D. S. Killgore, Mareen Weber, Zachary J. Schwab, Sophie R. DelDonno, Melissa R. Weiner, Christian A. Webb, Scott L. Rauch, Olga N. Tkachenko, Marcel Weber and Elizabeth A. Olson and has published in prestigious journals such as NeuroImage, International Journal of Obesity and Neuroreport.

In The Last Decade

Maia Kipman

12 papers receiving 468 citations

Peers

Maia Kipman
Angela Pisoni United States
George H. Trksak United States
Lin Nga United States
Nathan Hager United States
Jesisca Tandi Singapore
Miranda L. Campbell United States
Angela Pisoni United States
Maia Kipman
Citations per year, relative to Maia Kipman Maia Kipman (= 1×) peers Angela Pisoni

Countries citing papers authored by Maia Kipman

Since Specialization
Citations

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

Fields of papers citing papers by Maia Kipman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maia Kipman. 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 Maia Kipman. The network helps show where Maia Kipman may publish in the future.

Co-authorship network of co-authors of Maia Kipman

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

All Works

12 of 12 papers shown
1.
Killgore, William D. S., et al.. (2015). Gray matter volume and executive functioning correlate with time since injury following mild traumatic brain injury. Neuroscience Letters. 612. 238–244. 25 indexed citations
2.
Cui, J, Olga N. Tkachenko, Maia Kipman, et al.. (2014). Microstructure of frontoparietal connections predicts individual resistance to sleep deprivation. NeuroImage. 106. 123–133. 43 indexed citations
3.
Killgore, William D. S., Zachary J. Schwab, Mareen Weber, et al.. (2013). Daytime sleepiness affects prefrontal regulation of food intake. NeuroImage. 71. 216–223. 37 indexed citations
4.
Killgore, William D. S., Zachary J. Schwab, Olga N. Tkachenko, et al.. (2013). Emotional intelligence correlates with functional responses to dynamic changes in facial trustworthiness. Social Neuroscience. 8(4). 334–346. 22 indexed citations
5.
Killgore, William D. S., Maia Kipman, Zachary J. Schwab, et al.. (2013). Physical exercise and brain responses to images of high-calorie food. Neuroreport. 24(17). 962–967. 21 indexed citations
6.
Killgore, William D. S., Zachary J. Schwab, Maia Kipman, Sophie R. DelDonno, & Mareen Weber. (2013). Insomnia-related complaints correlate with functional connectivity between sensory–motor regions. Neuroreport. 24(5). 233–240. 70 indexed citations
7.
Killgore, William D. S., Marcel Weber, Zachary J. Schwab, et al.. (2013). Cortico-limbic responsiveness to high-calorie food images predicts weight status among women. International Journal of Obesity. 37(11). 1435–1442. 35 indexed citations
8.
Webb, Christian A., Zachary J. Schwab, Mareen Weber, et al.. (2013). Convergent and divergent validity of integrative versus mixed model measures of emotional intelligence. Intelligence. 41(3). 149–156. 99 indexed citations
9.
Weber, Mareen, Christian A. Webb, Sophie R. DelDonno, et al.. (2013). Habitual ‘sleep credit’ is associated with greater grey matter volume of the medial prefrontal cortex, higher emotional intelligence and better mental health. Journal of Sleep Research. 22(5). 527–534. 27 indexed citations
10.
Killgore, William D. S., Mareen Weber, Zachary J. Schwab, et al.. (2012). Gray matter correlates of Trait and Ability models of emotional intelligence. Neuroreport. 23(9). 551–555. 38 indexed citations
11.
Kipman, Maia, Mareen Weber, Zachary J. Schwab, Sophie R. DelDonno, & William D. S. Killgore. (2012). A funny thing happened on the way to the scanner. Neuroreport. 23(18). 1059–1064. 4 indexed citations
12.
Killgore, William D. S., Zachary J. Schwab, Maia Kipman, Sophie R. DelDonno, & Mareen Weber. (2012). Voxel-based morphometric gray matter correlates of daytime sleepiness. Neuroscience Letters. 518(1). 10–13. 57 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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