Roland E. Suri

1.2k total citations
25 papers, 882 citations indexed

About

Roland E. Suri is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Roland E. Suri has authored 25 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Biomedical Engineering. Recurrent topics in Roland E. Suri's work include Neural dynamics and brain function (9 papers), Radiation Dose and Imaging (4 papers) and Neurological disorders and treatments (4 papers). Roland E. Suri is often cited by papers focused on Neural dynamics and brain function (9 papers), Radiation Dose and Imaging (4 papers) and Neurological disorders and treatments (4 papers). Roland E. Suri collaborates with scholars based in Switzerland, United States and Italy. Roland E. Suri's co-authors include Wolfram Schultz, José Bargas, Michael A. Arbib, Terrence J. Sejnowski, Mark S. Talary, Andreas Caduff, Giovanni Sparacino, Andrea Facchinetti, Claudio Cobelli and G. F. Virshup and has published in prestigious journals such as Neuroscience, Experimental Brain Research and Biosensors and Bioelectronics.

In The Last Decade

Roland E. Suri

24 papers receiving 833 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roland E. Suri Switzerland	12	611	336	153	99	95	25	882
Kristofer E. Bouchard United States	17	813 1.3×	331 1.0×	132 0.9×	44 0.4×	65 0.7×	53	1.3k
Tony Hyun Kim United States	10	558 0.9×	485 1.4×	144 0.9×	49 0.5×	142 1.5×	11	1.1k
R. Cotton United States	13	628 1.0×	365 1.1×	100 0.7×	89 0.9×	55 0.6×	38	981
Boris Gourévitch France	21	994 1.6×	279 0.8×	81 0.5×	71 0.7×	28 0.3×	48	1.3k
Hans‐Rudolf Lüscher Switzerland	14	956 1.6×	707 2.1×	113 0.7×	40 0.4×	38 0.4×	15	1.2k
Samuel A. Neymotin United States	23	1.0k 1.7×	708 2.1×	118 0.8×	35 0.4×	90 0.9×	60	1.3k
Anita K. Roopun United Kingdom	13	1.2k 2.0×	892 2.7×	156 1.0×	38 0.4×	50 0.5×	13	1.4k
Pierre Yger France	16	650 1.1×	470 1.4×	92 0.6×	64 0.6×	25 0.3×	39	1.1k
Saurabh Vyas United States	12	658 1.1×	263 0.8×	59 0.4×	123 1.2×	16 0.2×	28	974
Sarah F. Muldoon United States	13	703 1.2×	272 0.8×	124 0.8×	52 0.5×	26 0.3×	40	1.1k

Countries citing papers authored by Roland E. Suri

Since Specialization

Citations

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

Fields of papers citing papers by Roland E. Suri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland E. Suri

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

Suri, Roland E., et al.. (2016). To Act or Not to Act – Handling File Format Identification and Validation Issues in Practice. Repository for Publications and Research Data (ETH Zurich). 288–289. 1 indexed citations

Speier, Peter, et al.. (2013). Scenes from the Past: MR Imaging versus CT of Ancient Peruvian and Egyptian Mummified Tissues. Radiographics. 33(1). 291–296. 19 indexed citations

Sparacino, Giovanni, Andrea Facchinetti, Mark S. Talary, et al.. (2012). Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system. Medical & Biological Engineering & Computing. 50(10). 1047–1057. 24 indexed citations

Caduff, Andreas, F. Dewarrat, Roland E. Suri, et al.. (2011). Characteristics of a multisensor system for non invasive glucose monitoring with external validation and prospective evaluation. Biosensors and Bioelectronics. 26(9). 3794–3800. 51 indexed citations

Sparacino, Giovanni, et al.. (2011). Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring. PubMed. 2011. 2538–2541. 18 indexed citations

Suri, Roland E., G. F. Virshup, Luis Zurkirchen, & Wolfgang Kaissl. (2006). Comparison of scatter correction methods for CBCT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9 indexed citations

Suri, Roland E.. (2004). A computational framework for cortical learning. Biological Cybernetics. 90(6). 400–409. 7 indexed citations

Suri, Roland E.. (2004). Application of independent component analysis to microarray data. 97. 375–378. 4 indexed citations

Suri, Roland E. & Terrence J. Sejnowski. (2002). Spike propagation synchronized by temporally asymmetric Hebbian learning. Biological Cybernetics. 87(5-6). 440–445. 28 indexed citations

10.

Suri, Roland E.. (2002). TD models of reward predictive responses in dopamine neurons. Neural Networks. 15(4-6). 523–533. 108 indexed citations

11.

Suri, Roland E., José Bargas, & Michael A. Arbib. (2001). Modeling functions of striatal dopamine modulation in learning and planning. Neuroscience. 103(1). 65–85. 75 indexed citations

12.

Suri, Roland E.. (2001). Anticipatory responses of dopamine neurons and cortical neurons reproduced by internal model. Experimental Brain Research. 140(2). 234–240. 25 indexed citations

13.

Suri, Roland E. & Wolfram Schultz. (2001). Temporal Difference Model Reproduces Anticipatory Neural Activity. Neural Computation. 13(4). 841–862. 113 indexed citations

14.

Suri, Roland E. & Wolfram Schultz. (1999). A neural network model with dopamine-like reinforcement signal that learns a spatial delayed response task. Neuroscience. 91(3). 871–890. 215 indexed citations

15.

Suri, Roland E., et al.. (1999). Internal model reproduces anticipatory neural activity. Repository for Publications and Research Data (ETH Zurich). 1 indexed citations

16.

Suri, Roland E. & Wolfram Schultz. (1998). Learning of sequential movements by neural network model with dopamine-like reinforcement signal. Experimental Brain Research. 121(3). 350–354. 144 indexed citations

17.

Suri, Roland E., et al.. (1998). Analysis of double-joint movements in controls and in parkinsonian patients. Experimental Brain Research. 118(2). 243–250. 6 indexed citations

18.

Suri, Roland E., et al.. (1997). A model of human aiming movements applied to Parkinson’s disease. Technology and Health Care. 5(3). 177–190. 1 indexed citations

19.

Suri, Roland E., et al.. (1997). A dynamic model of motor basal ganglia functions. Biological Cybernetics. 76(6). 451–458. 11 indexed citations

20.

Suri, Roland E.. (1996). Motor control in Parkinson's disease. Repository for Publications and Research Data (ETH Zurich). 5 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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