D. G. Shaposhnikov

464 total citations
33 papers, 286 citations indexed

About

D. G. Shaposhnikov is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, D. G. Shaposhnikov has authored 33 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Social Psychology. Recurrent topics in D. G. Shaposhnikov's work include Visual perception and processing mechanisms (7 papers), Visual Attention and Saliency Detection (6 papers) and Neural dynamics and brain function (5 papers). D. G. Shaposhnikov is often cited by papers focused on Visual perception and processing mechanisms (7 papers), Visual Attention and Saliency Detection (6 papers) and Neural dynamics and brain function (5 papers). D. G. Shaposhnikov collaborates with scholars based in Russia, United Kingdom and United States. D. G. Shaposhnikov's co-authors include L. N. Podladchikova, Xiaohong Gao, Natalia A. Shevtsova, Peter Passmore, John C. Clark, Alain Faure, Richard Comley, David Beylin, Stephen W. Schaeffer and Pavel Y. Stepanov and has published in prestigious journals such as American Journal of Epidemiology, Accident Analysis & Prevention and Applied Sciences.

In The Last Decade

D. G. Shaposhnikov

27 papers receiving 259 citations

Peers

Countries citing papers authored by D. G. Shaposhnikov

Since Specialization

Citations

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

Fields of papers citing papers by D. G. Shaposhnikov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. G. Shaposhnikov. 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 D. G. Shaposhnikov. The network helps show where D. G. Shaposhnikov may publish in the future.

Co-authorship network of co-authors of D. G. Shaposhnikov

This figure shows the co-authorship network connecting the top 25 collaborators of D. G. Shaposhnikov. A scholar is included among the top collaborators of D. G. Shaposhnikov 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 D. G. Shaposhnikov. D. G. Shaposhnikov 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

#	Work	Indexed citations
1	Cerebellar plasticity based equalization of total input to inferior olive cells 2023 ·Neuroscience and Behavioral Physiology ·(unknown), (unknown), D. G. Shaposhnikov, L. N. Podladchikova, (unknown), Witali L. Dunin-Barkowski	2
2	Method for automatic detection of movement-related EEG pattern time boundaries 2023 ·Soft Computing ·(unknown), (unknown), (unknown), D. G. Shaposhnikov, (unknown), (unknown)	0
3	Search for Quantitative Parameters of Scan Path of Image Viewing by Biologically Motivated Model 2021 ·Accident Analysis & Prevention ·D. G. Shaposhnikov, (unknown), (unknown), (unknown)	0
4	A Novel Neural Network-Based Approach to Classification of Implicit Emotional Components in Ordinary Speech 2021 ·Optical Memory and Neural Networks ·(unknown), (unknown), (unknown), (unknown), D. G. Shaposhnikov, (unknown)	1
5	Spatial and Temporal Properties of Gaze Return Fixations While Viewing Affective Images 2020 ·L. N. Podladchikova, D. G. Shaposhnikov, (unknown), (unknown), (unknown)	0
6	Active Vision: From Theory to Application 2019 ·Optical Memory and Neural Networks ·(unknown), L. N. Podladchikova, (unknown), D. G. Shaposhnikov	2
7	Approximation-Based Transformation of Color Signal for Heart Rate Estimation with a Webcam 2018 ·Pattern Recognition and Image Analysis ·(unknown), (unknown), D. G. Shaposhnikov	4
8	Dynamics of the Duration of Gaze Fixation and Event-Related Potentials on Presentation of Fading-In Images and Distractors 2017 ·Neuroscience and Behavioral Physiology ·(unknown), L. N. Podladchikova, D. G. Shaposhnikov, (unknown), (unknown), (unknown), (unknown)	1
9	[INDIVIDUAL FEATURES VIEWING EMOTIONALLY MEANINGFUL IMAGES]. 2016 ·PubMed ·L. N. Podladchikova, (unknown), D. G. Shaposhnikov, (unknown)	1
10	Changes in EEG spectral characteristics in the course of neurofeedback training 2015 ·Human Physiology ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), D. G. Shaposhnikov, (unknown)	4
11	Comparative analysis of color- and grayscale-based feature descriptions for image recognition 2013 ·Pattern Recognition and Image Analysis ·(unknown), (unknown), D. G. Shaposhnikov, (unknown)	4
12	Assessment of human head pose in human-computer interaction 2012 ·Pattern Recognition and Image Analysis ·(unknown), (unknown), D. G. Shaposhnikov	1
13	Model-based approach to study of mechanisms of complex image viewing 2009 ·Optical Memory and Neural Networks ·L. N. Podladchikova, D. G. Shaposhnikov, (unknown), (unknown), (unknown), (unknown), (unknown)	7
14	Toward a Robust System to Monitor Head Motions during PET Based on Facial Landmark Detection: A New Approach 2008 ·(unknown), (unknown), D. G. Shaposhnikov, (unknown), Richard Comley, Xiaohong Gao	5
15	Detection of head motions using a vision model 2007 ·American Journal of Epidemiology ·Xiaohong Gao, (unknown), (unknown), D. G. Shaposhnikov, John C. Clark	3
16	Classification of images on the basis of the properties of informative regions. 2003 ·Middlesex University Research Repository (Middlesex University Of London) ·Xiaohong Gao, D. G. Shaposhnikov, L. N. Podladchikova	6
17	Vision Models Based Identification of Traffic Signs 2002 ·Conference on Colour in Graphics Imaging and Vision ·Xiaohong Gao, Natalia A. Shevtsova, (unknown), (unknown), L. N. Podladchikova, (unknown), D. G. Shaposhnikov, (unknown)	19
18	The Peculiarities of Visual Perception in the Peripheral Vision Field 1 2001 ·D. G. Shaposhnikov, (unknown), L. N. Podladchikova	1
19	Advanced biologically plausible algorithms for low-level image processing 1999 ·(unknown), L. N. Podladchikova, D. G. Shaposhnikov, Sergey N. Markin, (unknown), (unknown)	1
20	<title>MARR: active vision model</title> 1997 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·L. N. Podladchikova, (unknown), D. G. Shaposhnikov, Alain Faure, (unknown), Natalia A. Shevtsova	4

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