Ivan I. Maximov

2.2k total citations
67 papers, 1.2k citations indexed

About

Ivan I. Maximov is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Nuclear and High Energy Physics. According to data from OpenAlex, Ivan I. Maximov has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Cognitive Neuroscience and 9 papers in Nuclear and High Energy Physics. Recurrent topics in Ivan I. Maximov's work include Advanced Neuroimaging Techniques and Applications (47 papers), Advanced MRI Techniques and Applications (25 papers) and Functional Brain Connectivity Studies (17 papers). Ivan I. Maximov is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (47 papers), Advanced MRI Techniques and Applications (25 papers) and Functional Brain Connectivity Studies (17 papers). Ivan I. Maximov collaborates with scholars based in Norway, Germany and Netherlands. Ivan I. Maximov's co-authors include Lars T. Westlye, Niels Chr. Nielsen, N. Jon Shah, Ann‐Marie G. de Lange, Zdeněk Tošner, Ole A. Andreassen, Dani Beck, Farida Grinberg, Geneviève Richard and Dag Alnæs and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Ivan I. Maximov

64 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ivan I. Maximov Norway	20	650	314	138	126	117	67	1.2k
Dominique Sappey‐Marinier France	29	1.1k 1.7×	546 1.7×	181 1.3×	108 0.9×	93 0.8×	83	2.4k
M. Dylan Tisdall United States	21	1.4k 2.2×	805 2.6×	137 1.0×	257 2.0×	194 1.7×	54	2.2k
Ana‐Maria Oros‐Peusquens Germany	19	840 1.3×	507 1.6×	67 0.5×	64 0.5×	51 0.4×	47	1.5k
R. Marc Lebel Canada	27	1.0k 1.6×	384 1.2×	77 0.6×	88 0.7×	68 0.6×	46	1.9k
Wolfgang Block Germany	35	1.5k 2.4×	508 1.6×	183 1.3×	98 0.8×	78 0.7×	101	3.4k
Robert Luypaert Belgium	28	1.1k 1.7×	570 1.8×	73 0.5×	128 1.0×	162 1.4×	79	2.2k
Keith Heberlein United States	16	961 1.5×	457 1.5×	62 0.4×	69 0.5×	117 1.0×	27	1.3k
Gordon E. Sarty Canada	20	340 0.5×	491 1.6×	56 0.4×	33 0.3×	65 0.6×	76	1.2k
Lawrence Ryner Canada	23	713 1.1×	291 0.9×	185 1.3×	34 0.3×	110 0.9×	67	1.6k
Hongjiang Wei China	27	1.3k 2.0×	430 1.4×	57 0.4×	94 0.7×	109 0.9×	117	2.1k

Countries citing papers authored by Ivan I. Maximov

Since Specialization

Citations

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

Fields of papers citing papers by Ivan I. Maximov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan I. Maximov. 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 Ivan I. Maximov. The network helps show where Ivan I. Maximov may publish in the future.

Co-authorship network of co-authors of Ivan I. Maximov

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

All Works

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20 of 20 papers shown

Kjelkenes, Rikka, Sara Fernández‐Cabello, Irene Voldsbekk, et al.. (2025). Linking Psychotic‐Like Experiences and Brain White Matter Microstructure in Young Women. Brain and Behavior. 15(6). e70587–e70587.

Korbmacher, Max, Didac Vidal‐Piñeiro, Mengyun Wang, et al.. (2025). Cross‐Sectional Brain Age Assessments Are Limited in Predicting Future Brain Change. Human Brain Mapping. 46(6). e70203–e70203. 2 indexed citations

Korbmacher, Max, Giuseppe Pontillo, Dennis van der Meer, et al.. (2025). White matter microstructure links with brain, bodily and genetic attributes in adolescence, mid- and late life. NeuroImage. 310. 121132–121132. 1 indexed citations

Korbmacher, Max, Lars T. Westlye, & Ivan I. Maximov. (2024). FreeSurfer version-shuffling can enhance brain age predictions. SHILAP Revista de lepidopterología. 4(3). 100214–100214. 2 indexed citations

Beck, Dani, Ann‐Marie G. de Lange, Tiril P. Gurholt, et al.. (2024). Dissecting unique and common variance across body and brain health indicators using age prediction. Human Brain Mapping. 45(6). e26685–e26685. 3 indexed citations

Nerland, Stener, Cláudia Barth, Lynn Mørch‐Johnsen, et al.. (2024). Current Auditory Hallucinations Are Not Associated With Specific White Matter Diffusion Alterations in Schizophrenia. Schizophrenia Bulletin Open. 5(1). sgae008–sgae008. 1 indexed citations

Korbmacher, Max, Dennis van der Meer, Dani Beck, et al.. (2024). Brain asymmetries from mid- to late life and hemispheric brain age. Nature Communications. 15(1). 956–956. 16 indexed citations

Korbmacher, Max, Mengyun Wang, Ralph Buchert, et al.. (2023). Considerations on brain age predictions from repeatedly sampled data across time. Brain and Behavior. 13(10). e3219–e3219. 7 indexed citations

Moltu, Sissel J., Andrés Server, Are Hugo Pripp, et al.. (2023). Arachidonic and docosahexaenoic acid supplementation and brain maturation in preterm infants; a double blind RCT. Clinical Nutrition. 43(1). 176–186. 18 indexed citations

10.

Subramaniapillai, Sivaniya, Sana Suri, Cláudia Barth, et al.. (2022). Sex‐ and age‐specific associations between cardiometabolic risk and white matter brain age in the UK Biobank cohort. Human Brain Mapping. 43(12). 3759–3774. 22 indexed citations

11.

Voldsbekk, Irene, Atle Bjørnerud, Inge Rasmus Groote, et al.. (2022). Evidence for widespread alterations in cortical microstructure after 32 h of sleep deprivation. Translational Psychiatry. 12(1). 161–161. 8 indexed citations

12.

Beck, Dani, Ann‐Marie G. de Lange, Mads L. Pedersen, et al.. (2021). Cardiometabolic risk factors associated with brain age and accelerated brain ageing. Human Brain Mapping. 43(2). 700–720. 55 indexed citations

13.

Maximov, Ivan I., Dennis van der Meer, Ann‐Marie G. de Lange, et al.. (2021). Fast qualitY conTrol meThod foR derIved diffUsion Metrics (YTTRIUM) in big data analysis: U.K. Biobank 18,608 example. Human Brain Mapping. 42(10). 3141–3155. 21 indexed citations

14.

Tesli, Natalia, Jaroslav Rokicki, Ivan I. Maximov, et al.. (2021). White Matter Matters: Unraveling Violence in Psychosis and Psychopathy. Schizophrenia Bulletin Open. 2(1). 4 indexed citations

15.

Voldsbekk, Irene, Cláudia Barth, Ivan I. Maximov, et al.. (2021). A history of previous childbirths is linked to women's white matter brain age in midlife and older age. Human Brain Mapping. 42(13). 4372–4386. 29 indexed citations

16.

Kremneva, Еlena I., et al.. (2020). The assessment of cerebral white matter microstructure in cerebral small vessel disease based on the diffusion-weighted magnetic resonance imaging. SHILAP Revista de lepidopterología. 14(1). 3 indexed citations

17.

Lange, Ann‐Marie G. de, Cláudia Barth, Tobias Kaufmann, et al.. (2020). Women's brain aging: Effects of sex‐hormone exposure, pregnancies, and genetic risk for Alzheimer's disease. Human Brain Mapping. 41(18). 5141–5150. 55 indexed citations

18.

Beck, Dani, Ann‐Marie G. de Lange, Ivan I. Maximov, et al.. (2020). White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction. NeuroImage. 224. 117441–117441. 134 indexed citations

19.

Maximov, Ivan I., Dag Alnæs, & Lars T. Westlye. (2019). Towards an optimised processing pipeline for diffusion magnetic resonance imaging data: Effects of artefact corrections on diffusion metrics and their age associations in UK Biobank. Human Brain Mapping. 40(14). 4146–4162. 62 indexed citations

20.

Maximov, Ivan I., Julien Salomon, Gabriel Turinici, & Niels Chr. Nielsen. (2010). A smoothing monotonic convergent optimal control algorithm for nuclear magnetic resonance pulse sequence design. JuSER (Forschungszentrum Jülich). 36 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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