M. Muthuraman

1.0k total citations
53 papers, 723 citations indexed

About

M. Muthuraman is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, M. Muthuraman has authored 53 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 18 papers in Neurology and 16 papers in Cellular and Molecular Neuroscience. Recurrent topics in M. Muthuraman's work include Neurological disorders and treatments (18 papers), EEG and Brain-Computer Interfaces (13 papers) and Neuroscience and Neural Engineering (11 papers). M. Muthuraman is often cited by papers focused on Neurological disorders and treatments (18 papers), EEG and Brain-Computer Interfaces (13 papers) and Neuroscience and Neural Engineering (11 papers). M. Muthuraman collaborates with scholars based in Germany, India and United States. M. Muthuraman's co-authors include Günther Deuschl, Jan Raethjen, Ulrich Heute, Rathinaswamy B. Govindan, F. Kopper, Abdulnasir Hossen, Rodger J. Elble, Sergiu Groppa, Karsten Witt and Christian Schlenstedt and has published in prestigious journals such as NeuroImage, Journal of Neurophysiology and Annals of the Rheumatic Diseases.

In The Last Decade

M. Muthuraman

46 papers receiving 708 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Muthuraman Germany 13 482 345 244 83 67 53 723
P.R. Schuurman Netherlands 18 732 1.5× 450 1.3× 152 0.6× 43 0.5× 179 2.7× 42 940
Basilio Vescio Italy 19 522 1.1× 211 0.6× 104 0.4× 67 0.8× 52 0.8× 43 755
Helge Hellriegel Germany 12 565 1.2× 358 1.0× 124 0.5× 23 0.3× 64 1.0× 22 689
Verity M. McClelland United Kingdom 15 197 0.4× 160 0.5× 224 0.9× 149 1.8× 68 1.0× 40 577
Hemmings Wu China 13 228 0.5× 182 0.5× 197 0.8× 27 0.3× 106 1.6× 37 577
Sabato Santaniello United States 14 380 0.8× 494 1.4× 617 2.5× 70 0.8× 76 1.1× 52 1.0k
Gregory F. Molnar United States 14 441 0.9× 403 1.2× 266 1.1× 113 1.4× 256 3.8× 24 739
Martin Dirks Germany 5 459 1.0× 384 1.1× 583 2.4× 138 1.7× 165 2.5× 7 982
Tomáš Sieger Czechia 17 330 0.7× 163 0.5× 201 0.8× 26 0.3× 115 1.7× 41 704
Rees Cosgrove United States 13 228 0.5× 110 0.3× 305 1.3× 53 0.6× 72 1.1× 26 680

Countries citing papers authored by M. Muthuraman

Since Specialization
Citations

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

Fields of papers citing papers by M. Muthuraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Muthuraman

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

All Works

20 of 20 papers shown
1.
Muthuraman, M., et al.. (2024). Combining Graph Theory and Machine Learning for Network-Based Medical Image Analysis. 1–5. 3 indexed citations
2.
Bahr‐Hamm, Katharina, et al.. (2023). Using entropy of snoring, respiratory effort and electrocardiography signals during sleep for OSA detection and severity classification. Sleep Medicine. 111. 21–27. 4 indexed citations
3.
Koirala, Nabin, et al.. (2022). A Novel Quantitative Arousal-Associated EEG-Metric to Predict Severity of Respiratory Distress in Obstructive Sleep Apnea Patients. Frontiers in Physiology. 13. 885270–885270. 8 indexed citations
4.
Wiest, Christoph, Gerd Tinkhauser, Alek Pogosyan, et al.. (2020). Local field potential activity dynamics in response to deep brain stimulation of the subthalamic nucleus in Parkinson's disease. Neurobiology of Disease. 143. 105019–105019. 62 indexed citations
5.
Hossen, Abdulnasir, Günther Deuschl, Sergiu Groppa, Ulrich Heute, & M. Muthuraman. (2020). Discrimination of physiological tremor from pathological tremor using accelerometer and surface EMG signals. Technology and Health Care. 28(5). 461–476. 10 indexed citations
6.
Muthuraman, M., Alfons Schnitzler, & Sergiu Groppa. (2018). Pathophysiologie des Tremors. Der Nervenarzt. 89(4). 408–415. 3 indexed citations
7.
Reermann, Jens, et al.. (2016). Detection of steering direction using EEG recordings based on sample entropy and time-frequency analysis. PubMed. 278. 833–836. 6 indexed citations
8.
Muthuraman, M., et al.. (2014). Intuitionistic Fuzzy Hx Ring. IOSR Journal of Mathematics. 10(4). 3–12.
9.
Muthuraman, M., et al.. (2014). Neuronale Netzwerke bei einem Patienten mit frühkindlicher epileptischer Enzephalopathie. Klinische Neurophysiologie. 45(3). 179–182. 1 indexed citations
10.
Muthalib, Makii, Stéphane Perrey, Andreas Galka, et al.. (2012). Directionality analysis on functional magnetic resonance imaging during motor task using Granger Causality. PubMed. 85. 2287–2290. 6 indexed citations
11.
Muthuraman, M., et al.. (2012). Oscillating central motor networks in pathological tremors and voluntary movements. What makes the difference?. NeuroImage. 60(2). 1331–1339. 104 indexed citations
12.
Muthuraman, M., et al.. (2012). Effect of the Raga Ananda Bhairavi in Post Operative Pain Relief Management. Indian Journal of Surgery. 76(5). 363–370. 11 indexed citations
13.
Hellriegel, Helge, Nienke Hoogenboom, Holger Krause, et al.. (2012). Source analysis of median nerve stimulated somatosensory evoked potentials and fields using simultaneously measured EEG and MEG signals. PubMed. 2012. 4903–4906. 8 indexed citations
14.
Shetty, Shiran, et al.. (2012). Jejunal Diverticulosis - Rare Cause of Gastrointestinal Bleed. Indian Journal of Surgery. 76(1). 15–16. 2 indexed citations
15.
Muthuraman, M., Steffen Paschen, Helge Hellriegel, et al.. (2012). Locating the STN-DBS electrodes and resolving their subsequent networks using coherent source analysis on EEG. PubMed. 250. 3970–3973. 3 indexed citations
16.
Muthuraman, M., et al.. (2011). • LOWER ANTI Q-FUZZY GROUP AND ITS LOWER LEVEL SUBGROUPS. 2(10). 1 indexed citations
17.
Muthuraman, M., Ulrich Heute, Günther Deuschl, & Jan Raethjen. (2010). The central oscillatory network of essential tremor. PubMed. 41. 154–157. 26 indexed citations
18.
Raethjen, Jan, Rathinaswamy B. Govindan, M. Muthuraman, et al.. (2009). Cortical correlates of the basic and first harmonic frequency of Parkinsonian tremor. Clinical Neurophysiology. 120(10). 1866–1872. 45 indexed citations
19.
Muthuraman, M., Rathinaswamy B. Govindan, Günther Deuschl, Ulrich Heute, & Jan Raethjen. (2008). Differentiating phase shift and delay in narrow band coherent signals. Clinical Neurophysiology. 119(5). 1062–1070. 17 indexed citations
20.
Raethjen, Jan, Rathinaswamy B. Govindan, F. Kopper, M. Muthuraman, & Günther Deuschl. (2007). Cortical Involvement in the Generation of Essential Tremor. Journal of Neurophysiology. 97(5). 3219–3228. 112 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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