Martin Mašek

1.2k citations
67 papers · 753 indexed · h-index 14

Martin Mašek

58 papers receiving 703 citations

Peers

Martin Mašek
Comparison fields: 5 of 108
  • Human-Computer Interaction 170
  • Developmental and Educational Psychology 194
  • Energy Engineering and Power Technology 31
  • Computer Vision and Pattern Recognition 163
  • Applied Psychology 29
Replace Burkhard Wüensche with:
Burkhard Wüensche New Zealand
Taiwoo Park South Korea
Mika Luimula Finland
Fedwa Laamarti Canada
José Luis Sevillano Spain
Ernesto Ramirez United States
Josef Hallberg Sweden
Noriaki Kuwahara Japan
James F. Knight United Kingdom
Anthony Whitehead Canada
Martin Mašek relative to Burkhard Wüensche New Zealand Burkhard Wüensche's profile →
Citations per field
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Burkhard Wüensche · 1×
Citations per year

Countries citing papers authored by Martin Mašek

Since Specialization
Citations

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

Fields of papers citing papers by Martin Mašek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Martin Mašek, 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 Martin Mašek Line = papers co-authored together Martin Mašek links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20240
4 20236
5 20235
6 202219
7 20211
8 202159
9 20207
10 20193
11 20184
12 20150
13
Getting Serious with iPads: The Intersection of Game Design and Teaching Principals.
20127
14 20112
15 20106
16 200916
17 200910
18
Hierarchical segmentation of mammograms based on pixel intensity
200414
19
Image Retrieval Based on Histogram Comparison for Digital Mammography Workstations
20021
20
Comparison Of Local Median With Modified Cross-Entropy For Pectoral Muscle Segmentation In Mammograms
20021

About Martin Mašek

Martin Mašek is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Developmental and Educational Psychology, having authored 67 papers that have together received 753 indexed citations. Recurring topics across this work include Educational Games and Gamification (11 papers), Artificial Intelligence in Games (10 papers), Computer Graphics and Visualization Techniques (4 papers), Reinforcement Learning in Robotics (4 papers), Context-Aware Activity Recognition Systems (4 papers), Digital Games and Media (4 papers), AI in cancer detection (4 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Human-Computer Interaction (170 citations), Developmental and Educational Psychology (194 citations) and Energy Engineering and Power Technology (31 citations). Martin Mašek has collaborated with scholars based in Australia, Czechia and United States. Frequent co-authors include Philip Hingston, Chiou Peng Lam, Yasir M. Al-Abdeli, Octavian Bass, Lukáš Lambert, Tomáš Paleček, Keng T. Tan, Y. Attikiouzel, Amanda Devine and Kazunori Nosaka. Their work appears in journals such as Journal of Bone and Joint Surgery, IEEE Access and Energy.

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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