Mikhail Startsev

441 citations
13 papers · 278 · h-index 9

Impact in

Papers in

Mikhail Startsev

13 papers receiving 265 citations

Peers

Mikhail Startsev
Comparison fields: 5 of 47
  • Human-Computer Interaction 160
  • Ophthalmology 59
  • Cognitive Neuroscience 107
  • Computer Vision and Pattern Recognition 98
  • Radiology, Nuclear Medicine and Imaging 48
Replace Katharina Rifai with:
Katharina Rifai Germany
Viviane Clay Germany
Pingmei Xu United States
Nachiappan Valliappan India
Linnéa Larsson Sweden
Raimondas Zemblys Lithuania
Darius Miniotas Lithuania
David Geisler Germany
Francisco M. Costela United States
Serkan Gürkan Türkiye
Mikhail Startsev relative to Katharina Rifai Germany Katharina Rifai's profile →
Citations per field
00.5×2×3.3×
Katharina Rifai · 1×
Citations per year

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-authors

The 4 scholars most cited alongside Mikhail Startsev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mikhail Startsev Line = papers co-authored together Mikhail Startsev links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201887
2 201851
3 202230
4 201925
5 201620
6 201819
7 201914
8 201614
9 20208
10 20194
11 20183
12 20192
13 20181

About Mikhail Startsev

Mikhail Startsev is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Ophthalmology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 278 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (9 papers), Visual Attention and Saliency Detection (8 papers), Glaucoma and retinal disorders (5 papers), Hand Gesture Recognition Systems (2 papers), Retinal Imaging and Analysis (2 papers), Visual perception and processing mechanisms (2 papers), Image and Video Quality Assessment (2 papers) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Human-Computer Interaction (160 citations), Ophthalmology (59 citations), Cognitive Neuroscience (107 citations), Computer Vision and Pattern Recognition (98 citations) and Radiology, Nuclear Medicine and Imaging (48 citations). Mikhail Startsev has collaborated with scholars based in Germany and Greece. Frequent co-authors include Michael Dörr, Raimondas Zemblys, Andreas Sprenger and Rebekka Lencer. Their work appears in journals such as Behavior Research Methods, Journal of Vision, Signal Processing Image Communication, European Archives of Psychiatry and Clinical Neuroscience and IEEE Access.

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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