Daniel S. Marcus

19.8k total citations · 2 hit papers
60 papers, 4.4k citations indexed

About

Daniel S. Marcus is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Daniel S. Marcus has authored 60 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Cognitive Neuroscience and 10 papers in Psychiatry and Mental health. Recurrent topics in Daniel S. Marcus's work include Functional Brain Connectivity Studies (19 papers), Advanced Neuroimaging Techniques and Applications (14 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Daniel S. Marcus is often cited by papers focused on Functional Brain Connectivity Studies (19 papers), Advanced Neuroimaging Techniques and Applications (14 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Daniel S. Marcus collaborates with scholars based in United States, Finland and Poland. Daniel S. Marcus's co-authors include Randy L. Buckner, John C. Morris, John G. Csernansky, Anthony F. Fotenos, Tracy H. Wang, Abraham Z. Snyder, Denise Head, Timothy R. Olsen, Mikhail Milchenko and Mark A. Mintun and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and NeuroImage.

In The Last Decade

Daniel S. Marcus

57 papers receiving 4.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults

2007 1.3k citations Daniel S. Marcus, John C. Morris et al. profile →
A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume

2004 1.0k citations Randy L. Buckner, Daniel S. Marcus et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel S. Marcus United States	23	1.7k	1.5k	1.1k	828	663	60	4.4k
Jussi Tohka Finland	28	1.3k 0.8×	1.1k 0.7×	784 0.7×	486 0.6×	280 0.4×	123	3.5k
Sandhitsu R. Das United States	40	2.6k 1.6×	1.8k 1.2×	1.6k 1.4×	716 0.9×	1.0k 1.5×	144	5.4k
Carlton Chu United Kingdom	19	1.9k 1.1×	860 0.6×	966 0.9×	375 0.5×	646 1.0×	30	3.7k
Marie Chupin France	31	1.4k 0.8×	866 0.6×	1.6k 1.5×	545 0.7×	1.0k 1.5×	83	3.9k
Jürgen Fripp Australia	37	926 0.5×	1.7k 1.1×	1.1k 1.0×	750 0.9×	982 1.5×	251	5.2k
José V. Manjón Spain	38	1.2k 0.7×	2.2k 1.5×	891 0.8×	2.1k 2.6×	533 0.8×	85	5.8k
Simon Duchesne Canada	31	947 0.6×	960 0.6×	1.2k 1.1×	401 0.5×	727 1.1×	145	3.1k
Frithjof Kruggel Germany	34	2.2k 1.3×	1.5k 1.0×	571 0.5×	513 0.6×	406 0.6×	102	4.3k
William R. Crum United Kingdom	36	1.5k 0.9×	2.2k 1.4×	1.5k 1.3×	1.1k 1.4×	1.2k 1.8×	97	5.9k
Koen Van Leemput United States	36	1.5k 0.9×	2.3k 1.5×	873 0.8×	2.3k 2.8×	555 0.8×	104	6.6k

Countries citing papers authored by Daniel S. Marcus

Since Specialization

Citations

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

Fields of papers citing papers by Daniel S. Marcus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Marcus. 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 Daniel S. Marcus. The network helps show where Daniel S. Marcus may publish in the future.

Co-authorship network of co-authors of Daniel S. Marcus

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jin, Yang, Daniel S. Marcus, & Aristeidis Sotiras. (2025). Dynamic U-Net: adaptively calibrate features for abdominal multiorgan segmentation. 50–50. 2 indexed citations

Marcus, Daniel S., et al.. (2025). NeuroDOT: a Matlab and Python toolbox for diffuse optical tomographic brain mapping. 38–38.

Marcus, Daniel S., et al.. (2025). DMC-Net: Lightweight Dynamic Multi-scale and Multi-resolution convolution network for pancreas segmentation in CT images. Biomedical Signal Processing and Control. 109. 107896–107896. 3 indexed citations

Zhang, Yichi, et al.. (2025). D-Net: Dynamic large kernel with dynamic feature fusion for volumetric medical image segmentation. Biomedical Signal Processing and Control. 113. 108837–108837. 2 indexed citations

Shimony, Joshua S., Satrajit Chakrabarty, Aaron Tanenbaum, et al.. (2023). Optimal approaches to analyzing functional MRI data in glioma patients. Journal of Neuroscience Methods. 402. 110011–110011. 3 indexed citations

Chakrabarty, Satrajit, Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, & Aristeidis Sotiras. (2023). Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network. PubMed. 12465. 29–29. 1 indexed citations

Snyder, Abraham Z., Tomoyuki Nishino, Joshua S. Shimony, et al.. (2022). Covariance and Correlation Analysis of Resting State Functional Magnetic Resonance Imaging Data Acquired in a Clinical Trial of Mindfulness-Based Stress Reduction and Exercise in Older Individuals. Frontiers in Neuroscience. 16. 825547–825547. 7 indexed citations

Dhar, Rajat, et al.. (2021). The Stroke Neuro-Imaging Phenotype Repository: An Open Data Science Platform for Stroke Research. Frontiers in Neuroinformatics. 15. 597708–597708. 12 indexed citations

Kumar, Atul, Yasheng Chen, Laura Heitsch, et al.. (2021). Accelerating Prediction of Malignant Cerebral Edema After Ischemic Stroke with Automated Image Analysis and Explainable Neural Networks. Neurocritical Care. 36(2). 471–482. 19 indexed citations

10.

Lee, John J., Donna Dierker, Carl D. Hacker, et al.. (2020). Mapping language function with task-based vs. resting-state functional MRI. PLoS ONE. 15(7). e0236423–e0236423. 35 indexed citations

11.

Vlassenko, Andrei G., Jonathan McConathy, Lars E. Couture, et al.. (2015). Aerobic Glycolysis as a Marker of Tumor Aggressiveness: Preliminary Data in High Grade Human Brain Tumors. Disease Markers. 2015. 1–11. 23 indexed citations

12.

Herrick, Rick, Michael T. McKay, Timothy R. Olsen, et al.. (2014). Data dictionary services in XNAT and the Human Connectome Project. Frontiers in Neuroinformatics. 8. 65–65. 10 indexed citations

13.

Su, Yi, Gina D’Angelo, Andrei G. Vlassenko, et al.. (2013). Quantitative Analysis of PiB-PET with FreeSurfer ROIs. PLoS ONE. 8(11). e73377–e73377. 152 indexed citations

14.

Archie, Kevin A. & Daniel S. Marcus. (2012). DicomBrowser: Software for Viewing and Modifying DICOM Metadata. Journal of Digital Imaging. 25(5). 635–645. 11 indexed citations

15.

Roe, Catherine M., Anne M. Fagan, Monique Williams, et al.. (2011). Improving CSF biomarker accuracy in predicting prevalent and incident Alzheimer disease. Neurology. 76(6). 501–510. 35 indexed citations

16.

Roe, Catherine M., Anne M. Fagan, Elizabeth Grant, et al.. (2011). Cerebrospinal Fluid Biomarkers, Education, Brain Volume, and Future Cognition. Archives of Neurology. 68(9). 1145–1145. 35 indexed citations

17.

Marcus, Daniel S., et al.. (2007). The extensible neuroimaging archive toolkit. Neuroinformatics. 5(1). 11–33. 300 indexed citations

18.

Marcus, Daniel S., et al.. (2007). The Open-Source Neuroimaging Research Enterprise. Journal of Digital Imaging. 20(S1). 130–138. 8 indexed citations

19.

Marcus, Daniel S. & David C. Van Essen. (2002). Scene Segmentation and Attention in Primate Cortical Areas V1 and V2. Journal of Neurophysiology. 88(5). 2648–2658. 96 indexed citations

20.

Marcus, Daniel S., et al.. (2002). Transient probabilities of a single server priority queueing system. Journal of Statistical Planning and Inference. 101(1-2). 185–190. 11 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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