Ragini Verma

11.5k total citations · 3 hit papers
145 papers, 6.8k citations indexed

About

Ragini Verma is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ragini Verma has authored 145 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Radiology, Nuclear Medicine and Imaging, 63 papers in Cognitive Neuroscience and 25 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ragini Verma's work include Advanced Neuroimaging Techniques and Applications (90 papers), Functional Brain Connectivity Studies (52 papers) and Advanced MRI Techniques and Applications (23 papers). Ragini Verma is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (90 papers), Functional Brain Connectivity Studies (52 papers) and Advanced MRI Techniques and Applications (23 papers). Ragini Verma collaborates with scholars based in United States, France and Australia. Ragini Verma's co-authors include Ruben C. Gur, Raquel E. Gur, Kosha Ruparel, Theodore D. Satterthwaite, Drew Parker, Christos Davatzikos, Ani Nenkova, Håkon Håkonarson, Madhura Ingalhalikar and Houwei Cao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Neuroscience.

In The Last Decade

Ragini Verma

143 papers receiving 6.6k 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.

Sex differences in the structural connectome of the human brain

2013 778 citations Madhura Ingalhalikar, Alexander C.W. Smith et al. profile →
Harmonization of multi-site diffusion tensor imaging data

2017 653 citations Drew Parker, Birkan Tunç et al. NeuroImage profile →
CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset

2014 443 citations Ruben C. Gur, Ragini Verma et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ragini Verma United States	40	2.9k	2.7k	1.3k	779	681	145	6.8k
Bertrand Thirion France	40	5.9k 2.0×	2.4k 0.9×	837 0.6×	411 0.5×	315 0.5×	178	8.4k
Jagath C. Rajapakse Singapore	37	2.4k 0.8×	1.4k 0.5×	318 0.2×	1.0k 1.3×	660 1.0×	214	7.7k
Jean‐Baptiste Poline France	54	10.3k 3.5×	3.6k 1.3×	1.8k 1.3×	722 0.9×	342 0.5×	188	14.4k
Habib Benali France	61	7.1k 2.4×	3.8k 1.4×	1.1k 0.8×	642 0.8×	241 0.4×	237	12.5k
Dezhong Yao China	48	5.6k 1.9×	1.7k 0.6×	756 0.6×	249 0.3×	189 0.3×	404	7.8k
Xenophon Papademetris United States	48	6.5k 2.2×	3.4k 1.3×	1.7k 1.3×	828 1.1×	599 0.9×	168	11.6k
Hans Knutsson Sweden	31	2.6k 0.9×	2.0k 0.7×	555 0.4×	1.6k 2.1×	157 0.2×	239	6.7k
Satrajit Ghosh United States	39	7.5k 2.6×	2.3k 0.9×	2.4k 1.8×	260 0.3×	306 0.4×	140	10.5k
Stephen C. Strother United States	46	4.1k 1.4×	3.2k 1.2×	498 0.4×	454 0.6×	136 0.2×	220	7.8k
Moo K. Chung United States	36	2.4k 0.8×	1.7k 0.6×	477 0.4×	566 0.7×	394 0.6×	187	5.9k

Countries citing papers authored by Ragini Verma

Since Specialization

Citations

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

Fields of papers citing papers by Ragini Verma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ragini Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Ragini Verma. A scholar is included among the top collaborators of Ragini Verma 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 Ragini Verma. Ragini Verma 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

Gugger, James J., Alexa E. Walter, Drew Parker, et al.. (2022). Longitudinal Abnormalities in White Matter Extracellular Free Water Volume Fraction and Neuropsychological Functioning in Patients with Traumatic Brain Injury. Journal of Neurotrauma. 40(7-8). 683–692. 2 indexed citations

Whyte, John, et al.. (2021). Free Water Volume Fraction: An Imaging Biomarker to Characterize Moderate-to-Severe Traumatic Brain Injury. Journal of Neurotrauma. 38(19). 2698–2705. 10 indexed citations

Gur, Ruben C., Ellyn R. Butler, Tyler M. Moore, et al.. (2020). Structural and Functional Brain Parameters Related to Cognitive Performance Across Development: Replication and Extension of the Parieto-Frontal Integration Theory in a Single Sample. Cerebral Cortex. 31(3). 1444–1463. 19 indexed citations

Deslauriers‐Gauthier, Samuel, et al.. (2020). Diffusion MRI tractography filtering techniques change the topology of structural connectomes. Journal of Neural Engineering. 17(6). 65002–65002. 12 indexed citations

Parker, Drew, et al.. (2020). Connectomic consistency: a systematic stability analysis of structural and functional connectivity. Journal of Neural Engineering. 17(4). 45004–45004. 18 indexed citations

Honnorat, Nicolas, Drew Parker, Birkan Tunç, Christos Davatzikos, & Ragini Verma. (2017). Subject-Specific Structural Parcellations Based on Randomized AB-divergences. Lecture notes in computer science. 10433. 407–415. 3 indexed citations

Tunç, Birkan, Madhura Ingalhalikar, Drew Parker, et al.. (2015). Individualized Map of White Matter Pathways. Neurosurgery. 79(4). 568–577. 27 indexed citations

Tunç, Birkan, et al.. (2014). PUNCH: Population Characterization of Heterogeneity. NeuroImage. 98. 50–60. 3 indexed citations

Ingalhalikar, Madhura, Drew Parker, Yasser Ghanbari, et al.. (2014). Connectome and Maturation Profiles of the Developing Mouse Brain Using Diffusion Tensor Imaging. Cerebral Cortex. 25(9). 2696–2706. 16 indexed citations

10.

Savadjiev, Peter, Yogesh Rathi, Sylvain Bouix, et al.. (2013). Combining Surface and Fiber Geometry: An Integrated Approach to Brain Morphology. Lecture notes in computer science. 16(Pt 1). 50–57. 5 indexed citations

11.

Bloy, Luke, Madhura Ingalhalikar, Kayhan Batmanghelich, et al.. (2012). An Integrated Framework for High Angular Resolution Diffusion Imaging–Based Investigation of Structural Connectivity. Brain Connectivity. 2(2). 69–79. 9 indexed citations

12.

Savadjiev, Peter, Yogesh Rathi, Sylvain Bouix, Ragini Verma, & Carl‐Fredrik Westin. (2012). Multi-scale Characterization of White Matter Tract Geometry. Lecture notes in computer science. 15(Pt 3). 34–41. 6 indexed citations

13.

Ingalhalikar, Madhura, et al.. (2012). Identifying Sub-Populations via Unsupervised Cluster Analysis on Multi-Edge Similarity Graphs. Lecture notes in computer science. 15(Pt 2). 254–261. 13 indexed citations

14.

Bloy, Luke, Madhura Ingalhalikar, Harini Eavani, et al.. (2011). White matter atlas generation using HARDI based automated parcellation. NeuroImage. 59(4). 4055–4063. 12 indexed citations

15.

Ingalhalikar, Madhura, Drew Parker, Luke Bloy, Timothy P. L. Roberts, & Ragini Verma. (2011). Diffusion based abnormality markers of pathology: Toward learned diagnostic prediction of ASD. NeuroImage. 57(3). 918–927. 97 indexed citations

16.

Bloy, Luke, Madhura Ingalhalikar, Harini Eavani, et al.. (2011). HARDI Based Pattern Classifiers for the Identification of White Matter Pathologies. Lecture notes in computer science. 14(Pt 2). 234–241. 9 indexed citations

17.

Hamm, Jihun, Christos Davatzikos, & Ragini Verma. (2009). Efficient Large Deformation Registration via Geodesics on a Learned Manifold of Images. Lecture notes in computer science. 12(Pt 1). 680–687. 41 indexed citations

18.

Alvino, Christopher, Christian G. Kohler, Frederick S. Barrett, et al.. (2007). Computerized measurement of facial expression of emotions in schizophrenia. Journal of Neuroscience Methods. 163(2). 350–361. 35 indexed citations

19.

Verma, Ragini, et al.. (2007). An Anatomical Equivalence Class Based Joint Transformation-Residual Descriptor for Morphological Analysis. Lecture notes in computer science. 20. 594–606. 19 indexed citations

20.

Nucifora, Paolo, Ragini Verma, Elias R. Melhem, Raquel E. Gur, & Ruben C. Gur. (2005). Leftward asymmetry in relative fiber density of the arcuate fasciculus. Neuroreport. 16(8). 791–794. 170 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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