Maria M. Rive

2.2k total citations
7 papers, 602 citations indexed

About

Maria M. Rive is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Pharmacology. According to data from OpenAlex, Maria M. Rive has authored 7 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 5 papers in Experimental and Cognitive Psychology and 3 papers in Pharmacology. Recurrent topics in Maria M. Rive's work include Functional Brain Connectivity Studies (6 papers), Treatment of Major Depression (3 papers) and Bipolar Disorder and Treatment (3 papers). Maria M. Rive is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Treatment of Major Depression (3 papers) and Bipolar Disorder and Treatment (3 papers). Maria M. Rive collaborates with scholars based in Netherlands, Germany and United Kingdom. Maria M. Rive's co-authors include Henricus G. Ruhé, Aart H. Schene, Dick J. Veltman, Mary L. Phillips, Geeske van Rooijen, Guido van Wingen, Maarten W.J. Koeter, Roel J. T. Mocking, Odile A. van den Heuvel and Stella J. de Wit and has published in prestigious journals such as Neuroscience & Biobehavioral Reviews, Psychological Medicine and JAMA Psychiatry.

In The Last Decade

Maria M. Rive

7 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria M. Rive Netherlands	6	402	249	159	90	86	7	602
Huixia Zhou China	12	500 1.2×	301 1.2×	178 1.1×	119 1.3×	44 0.5×	49	845
Katie L. Bessette United States	16	380 0.9×	267 1.1×	145 0.9×	150 1.7×	56 0.7×	40	638
Natalie Katchmar United States	7	372 0.9×	236 0.9×	263 1.7×	93 1.0×	49 0.6×	7	646
Janis Brakowski Switzerland	11	416 1.0×	219 0.9×	82 0.5×	54 0.6×	75 0.9×	16	552
Bailey Holt-Gosselin United States	10	312 0.8×	250 1.0×	78 0.5×	113 1.3×	70 0.8×	20	557
Dario Zaremba Germany	11	300 0.7×	168 0.7×	232 1.5×	51 0.6×	137 1.6×	15	539
Aybala Sarıçiçek Türkiye	16	352 0.9×	122 0.5×	180 1.1×	75 0.8×	133 1.5×	19	756
Michael J. Anderle United States	6	455 1.1×	265 1.1×	116 0.7×	65 0.7×	132 1.5×	7	640
Anjali Sankar United States	14	279 0.7×	134 0.5×	152 1.0×	128 1.4×	94 1.1×	43	488
Maya Bleich‐Cohen Israel	11	423 1.1×	145 0.6×	148 0.9×	126 1.4×	73 0.8×	20	605

Countries citing papers authored by Maria M. Rive

Since Specialization

Citations

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

Fields of papers citing papers by Maria M. Rive

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria M. Rive. 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 Maria M. Rive. The network helps show where Maria M. Rive may publish in the future.

Co-authorship network of co-authors of Maria M. Rive

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

All Works

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7 of 7 papers shown

Velzen, Laura S. van, Janna Marie Bas‐Hoogendam, Nic J.A. van der Wee, et al.. (2023). Functional MRI correlates of emotion regulation in major depressive disorder related to depressive disease load measured over nine years. NeuroImage Clinical. 40. 103535–103535. 1 indexed citations

Mocking, Roel J. T., Caroline Figueroa, Maria M. Rive, et al.. (2016). Vulnerability for new episodes in recurrent major depressive disorder: protocol for the longitudinal DELTA-neuroimaging cohort study. BMJ Open. 6(3). e009510–e009510. 27 indexed citations

Rive, Maria M., Maarten W.J. Koeter, Dick J. Veltman, Aart H. Schene, & Henricus G. Ruhé. (2016). Visuospatial planning in unmedicated major depressive disorder and bipolar disorder: distinct and common neural correlates. Psychological Medicine. 46(11). 2313–2328. 18 indexed citations

Rive, Maria M., Ronny Redlich, Lianne Schmaal, et al.. (2016). Distinguishing medication‐free subjects with unipolar disorder from subjects with bipolar disorder: state matters. Bipolar Disorders. 18(7). 612–623. 49 indexed citations

Rive, Maria M., Roel J. T. Mocking, Maarten W.J. Koeter, et al.. (2015). State-Dependent Differences in Emotion Regulation Between Unmedicated Bipolar Disorder and Major Depressive Disorder. JAMA Psychiatry. 72(7). 687–687. 77 indexed citations

Kwaasteniet, Bart P. de, Maria M. Rive, Henricus G. Ruhé, et al.. (2015). Decreased Resting-State Connectivity between Neurocognitive Networks in Treatment Resistant Depression. Frontiers in Psychiatry. 6. 28–28. 63 indexed citations

Rive, Maria M., Geeske van Rooijen, Dick J. Veltman, et al.. (2013). Neural correlates of dysfunctional emotion regulation in major depressive disorder. A systematic review of neuroimaging studies. Neuroscience & Biobehavioral Reviews. 37(10). 2529–2553. 367 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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