Suresh E. Joel

618 total citations · 1 hit paper
7 papers, 309 citations indexed

About

Suresh E. Joel is a scholar working on Cognitive Neuroscience, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Suresh E. Joel has authored 7 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 3 papers in Neurology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Suresh E. Joel's work include Functional Brain Connectivity Studies (5 papers), Neurological disorders and treatments (3 papers) and Advanced MRI Techniques and Applications (3 papers). Suresh E. Joel is often cited by papers focused on Functional Brain Connectivity Studies (5 papers), Neurological disorders and treatments (3 papers) and Advanced MRI Techniques and Applications (3 papers). Suresh E. Joel collaborates with scholars based in India, Canada and United States. Suresh E. Joel's co-authors include Gavin J.B. Elias, Jürgen Germann, Radhika Madhavan, Alexandre Boutet, Andrés M. Lozano, Robert Gramer, Sreeram Prasad, Renato P. Munhoz, Jeffrey Ashe and Alfonso Fasano and has published in prestigious journals such as Nature Communications, Pain and Journal of Neurotrauma.

In The Last Decade

Suresh E. Joel

7 papers receiving 305 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.

Predicting optimal deep brain stimulation parameters for Parkinson’s disease using functional MRI and machine learning

2021 184 citations Alexandre Boutet, Radhika Madhavan et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suresh E. Joel India	7	156	128	79	55	41	7	309
Carlos A. Sánchez-Catasús Netherlands	12	121 0.8×	109 0.9×	122 1.5×	84 1.5×	40 1.0×	32	391
Jessika Suescun United States	10	226 1.4×	91 0.7×	48 0.6×	67 1.2×	38 0.9×	22	382
Sneha Chenji Canada	8	135 0.9×	88 0.7×	75 0.9×	41 0.7×	39 1.0×	14	279
Anna I. Blazejewska United States	9	250 1.6×	82 0.6×	205 2.6×	98 1.8×	31 0.8×	15	508
Tuija Keinänen Finland	6	147 0.9×	127 1.0×	105 1.3×	229 4.2×	36 0.9×	6	425
Ismael Huertas‐Fernández Spain	10	199 1.3×	46 0.4×	26 0.3×	58 1.1×	53 1.3×	14	277
Bryan Li Hong Kong	3	126 0.8×	79 0.6×	45 0.6×	52 0.9×	39 1.0×	8	223
Eleftherios Kavroulakis Greece	10	42 0.3×	106 0.8×	95 1.2×	21 0.4×	27 0.7×	21	298
Anna Isabel García-Díaz Spain	10	364 2.3×	206 1.6×	159 2.0×	35 0.6×	35 0.9×	12	514
Xuan Vinh To Australia	9	122 0.8×	68 0.5×	115 1.5×	126 2.3×	49 1.2×	31	378

Countries citing papers authored by Suresh E. Joel

Since Specialization

Citations

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

Fields of papers citing papers by Suresh E. Joel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suresh E. Joel. 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 Suresh E. Joel. The network helps show where Suresh E. Joel may publish in the future.

Co-authorship network of co-authors of Suresh E. Joel

This figure shows the co-authorship network connecting the top 25 collaborators of Suresh E. Joel. A scholar is included among the top collaborators of Suresh E. Joel 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 Suresh E. Joel. Suresh E. Joel 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:

7 of 7 papers shown

1.

Elias, Gavin J.B., Jürgen Germann, Suresh E. Joel, et al.. (2024). A large normative connectome for exploring the tractographic correlates of focal brain interventions. Scientific Data. 11(1). 353–353. 10 indexed citations

2.

Boutet, Alexandre, Radhika Madhavan, Gavin J.B. Elias, et al.. (2021). Predicting optimal deep brain stimulation parameters for Parkinson’s disease using functional MRI and machine learning. Nature Communications. 12(1). 3043–3043. 184 indexed citations breakdown →

3.

Elias, Gavin J.B., Philippe De Vloo, Jürgen Germann, et al.. (2020). Mapping the network underpinnings of central poststroke pain and analgesic neuromodulation. Pain. 161(12). 2805–2819. 27 indexed citations

4.

Elias, Gavin J.B., Peter Giacobbe, Alexandre Boutet, et al.. (2019). Probing the circuitry of panic with deep brain stimulation: Connectomic analysis and review of the literature. Brain stimulation. 13(1). 10–14. 19 indexed citations

5.

Smitha, K. A., et al.. (2018). Multiband fMRI as a plausible, time-saving technique for resting-state data acquisition: Study on functional connectivity mapping using graph theoretical measures. Magnetic Resonance Imaging. 53. 1–6. 9 indexed citations

6.

Madhavan, Radhika, Suresh E. Joel, Sumit N. Niogi, et al.. (2018). Longitudinal Resting State Functional Connectivity Predicts Clinical Outcome in Mild Traumatic Brain Injury. Journal of Neurotrauma. 36(5). 650–660. 41 indexed citations

7.

Ravishankar, Hariharan, et al.. (2016). Recursive feature elimination for biomarker discovery in resting-state functional connectivity. PubMed. 2016. 4071–4074. 19 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.

Explore authors with similar magnitude of impact