Sunita Mandon

646 total citations
12 papers, 438 citations indexed

About

Sunita Mandon is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Sunita Mandon has authored 12 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Sunita Mandon's work include Neural dynamics and brain function (8 papers), Neuroscience and Neural Engineering (8 papers) and EEG and Brain-Computer Interfaces (6 papers). Sunita Mandon is often cited by papers focused on Neural dynamics and brain function (8 papers), Neuroscience and Neural Engineering (8 papers) and EEG and Brain-Computer Interfaces (6 papers). Sunita Mandon collaborates with scholars based in Germany, Spain and United States. Sunita Mandon's co-authors include Andreas K. Kreiter, Winrich A. Freiwald, Iris Grothe, Klaus Pawelzik, Udo Ernst, Walter Lang, David Rotermund, Martin Schneider and Steffen Paul and has published in prestigious journals such as Journal of Neuroscience, Cerebral Cortex and Sensors.

In The Last Decade

Sunita Mandon

12 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunita Mandon Germany 9 401 224 41 27 27 12 438
Jason M. Samonds United States 13 523 1.3× 340 1.5× 46 1.1× 14 0.5× 31 1.1× 28 579
Sergei P. Rebrik United States 5 334 0.8× 189 0.8× 41 1.0× 11 0.4× 24 0.9× 7 376
Evan Schaffer United States 7 370 0.9× 256 1.1× 60 1.5× 22 0.8× 34 1.3× 12 448
Michael R. Bale United Kingdom 13 396 1.0× 281 1.3× 76 1.9× 58 2.1× 28 1.0× 21 498
Matthew Chalk France 9 470 1.2× 178 0.8× 58 1.4× 11 0.4× 35 1.3× 15 513
Hirofumi Ozeki Japan 7 541 1.3× 382 1.7× 62 1.5× 47 1.7× 18 0.7× 8 634
А. V. Kurgansky Russia 9 385 1.0× 136 0.6× 33 0.8× 15 0.6× 20 0.7× 37 455
Yulia Bereshpolova United States 16 721 1.8× 424 1.9× 64 1.6× 11 0.4× 17 0.6× 22 789
Ian M. Finn United States 4 509 1.3× 300 1.3× 64 1.6× 5 0.2× 27 1.0× 4 539
Frostig Rd Israel 4 458 1.1× 253 1.1× 29 0.7× 17 0.6× 6 0.2× 9 512

Countries citing papers authored by Sunita Mandon

Since Specialization
Citations

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

Fields of papers citing papers by Sunita Mandon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunita Mandon

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

All Works

12 of 12 papers shown
1.
Grothe, Iris, et al.. (2018). Attention Configures Synchronization Within Local Neuronal Networks for Processing of the Behaviorally Relevant Stimulus. Frontiers in Neural Circuits. 12. 71–71. 17 indexed citations
2.
Grothe, Iris, David Rotermund, Sunita Mandon, et al.. (2018). Attention Selectively Gates Afferent Signal Transmission to Area V4. Journal of Neuroscience. 38(14). 3441–3452. 16 indexed citations
3.
Mandon, Sunita, et al.. (2015). A Multi-Channel, Flex-Rigid ECoG Microelectrode Array for Visual Cortical Interfacing. Sensors. 15(1). 832–854. 38 indexed citations
4.
Rotermund, David, Sunita Mandon, Martin Schneider, et al.. (2013). Towards a wireless and fully-implantable ECoG system. 384–387. 7 indexed citations
5.
Rotermund, David, et al.. (2013). Toward High Performance, Weakly Invasive Brain Computer Interfaces Using Selective Visual Attention. Journal of Neuroscience. 33(14). 6001–6011. 17 indexed citations
6.
Rotermund, David, Sunita Mandon, Andreas K. Kreiter, et al.. (2013). Development of a Fully Implantable Recording System for ECoG Signals. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013. 893–898. 10 indexed citations
7.
Grothe, Iris, et al.. (2012). Switching Neuronal Inputs by Differential Modulations of Gamma-Band Phase-Coherence. Journal of Neuroscience. 32(46). 16172–16180. 101 indexed citations
8.
Ernst, Udo, et al.. (2012). Optimality of Human Contour Integration. PLoS Computational Biology. 8(5). e1002520–e1002520. 29 indexed citations
9.
Ernst, Udo, et al.. (2011). Optimality of human contour integration: Psychophysics, modelling and theory. Perception. 40. 210–210. 1 indexed citations
10.
Mandon, Sunita, et al.. (2005). Coherent Oscillatory Activity in Monkey Area V4 Predicts Successful Allocation of Attention. Cerebral Cortex. 15(9). 1424–1437. 164 indexed citations
11.
Mandon, Sunita & Andreas K. Kreiter. (2004). Rapid contour integration in macaque monkeys. Vision Research. 45(3). 291–300. 33 indexed citations
12.
Ernst, Udo, Sunita Mandon, Klaus Pawelzik, & Andreas K. Kreiter. (2004). How ideal do macaque monkeys integrate contours?. Neurocomputing. 58-60. 971–977. 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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