Mikhail Startsev

421 total citations
13 papers, 253 citations indexed

About

Mikhail Startsev is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Mikhail Startsev has authored 13 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Human-Computer Interaction, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Ophthalmology. Recurrent topics in Mikhail Startsev's work include Gaze Tracking and Assistive Technology (9 papers), Visual Attention and Saliency Detection (8 papers) and Glaucoma and retinal disorders (5 papers). Mikhail Startsev is often cited by papers focused on Gaze Tracking and Assistive Technology (9 papers), Visual Attention and Saliency Detection (8 papers) and Glaucoma and retinal disorders (5 papers). Mikhail Startsev collaborates with scholars based in Germany and Greece. Mikhail Startsev's co-authors include Michael Dörr, Raimondas Zemblys, Rebekka Lencer and Andreas Sprenger and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Behavior Research Methods.

In The Last Decade

Mikhail Startsev

13 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikhail Startsev Germany 8 148 107 97 56 43 13 253
Pingmei Xu United States 4 153 1.0× 59 0.6× 70 0.7× 31 0.6× 39 0.9× 7 244
Katharina Rifai Germany 12 161 1.1× 222 2.1× 70 0.7× 105 1.9× 69 1.6× 33 431
Nachiappan Valliappan India 7 126 0.9× 54 0.5× 88 0.9× 29 0.5× 38 0.9× 9 258
Raimondas Zemblys Lithuania 7 257 1.7× 101 0.9× 51 0.5× 109 1.9× 73 1.7× 20 323
Fiona Mulvey Sweden 5 278 1.9× 115 1.1× 67 0.7× 84 1.5× 37 0.9× 11 374
Linnéa Larsson Sweden 7 295 2.0× 128 1.2× 77 0.8× 137 2.4× 60 1.4× 8 368
Umesh Rajashekar United States 13 108 0.7× 203 1.9× 337 3.5× 36 0.6× 24 0.6× 23 497
Francisco M. Costela United States 11 122 0.8× 275 2.6× 58 0.6× 59 1.1× 44 1.0× 26 419
Elio M. Santos United States 12 45 0.3× 303 2.8× 36 0.4× 52 0.9× 42 1.0× 22 392
Shun‐nan Yang United States 11 117 0.8× 208 1.9× 42 0.4× 74 1.3× 79 1.8× 24 417

Countries citing papers authored by Mikhail Startsev

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Startsev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail Startsev

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

All Works

13 of 13 papers shown
1.
Startsev, Mikhail & Raimondas Zemblys. (2022). Evaluating Eye Movement Event Detection: A Review of the State of the Art. Behavior Research Methods. 55(4). 1653–1714. 24 indexed citations
2.
Startsev, Mikhail, et al.. (2020). Two hours in Hollywood: A manually annotated ground truth data set of eye movements during movie clip watching. SHILAP Revista de lepidopterología. 13(4). 7 indexed citations
3.
Startsev, Mikhail & Michael Dörr. (2019). Classifying Autism Spectrum Disorder Based on Scanpaths and Saliency. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 633–636. 22 indexed citations
4.
Startsev, Mikhail, et al.. (2019). Characterizing and automatically detecting smooth pursuit in a large-scale ground-truth data set of dynamic natural scenes. Journal of Vision. 19(14). 10–10. 13 indexed citations
5.
Startsev, Mikhail & Michael Dörr. (2019). Supersaliency: A Novel Pipeline for Predicting Smooth Pursuit-Based Attention Improves Generalisability of Video Saliency. IEEE Access. 8. 1276–1289. 4 indexed citations
6.
Startsev, Mikhail, et al.. (2019). A novel gaze event detection metric that is not fooled by gaze-independent baselines. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1–9. 2 indexed citations
7.
Startsev, Mikhail, et al.. (2018). 1D CNN with BLSTM for automated classification of fixations, saccades, and smooth pursuits. Behavior Research Methods. 51(2). 556–572. 76 indexed citations
8.
Startsev, Mikhail, et al.. (2018). Free visual exploration of natural movies in schizophrenia. European Archives of Psychiatry and Clinical Neuroscience. 269(4). 407–418. 19 indexed citations
9.
Startsev, Mikhail & Michael Dörr. (2018). 360-aware saliency estimation with conventional image saliency predictors. Signal Processing Image Communication. 69. 43–52. 50 indexed citations
10.
Startsev, Mikhail & Michael Dörr. (2018). Increasing Video Saliency Model Generalizability by Training for Smooth Pursuit Prediction. 90. 2050–20503. 3 indexed citations
11.
Startsev, Mikhail, et al.. (2018). Deep learning vs. manual annotation of eye movements. mediaTUM (Technical University of Munich). 1–3. 1 indexed citations
12.
Startsev, Mikhail, et al.. (2016). Smooth pursuit detection based on multiple observers. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 303–306. 19 indexed citations
13.

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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