Mark Podlaseck

908 citations
32 papers · 533 indexed · h-index 13

Impact in

Papers in

Mark Podlaseck

30 papers receiving 482 citations

Peers

Mark Podlaseck
Comparison fields: 5 of 61
  • Human-Computer Interaction 249
  • Information Systems and Management 91
  • Computer Vision and Pattern Recognition 201
  • Marketing 65
  • Cognitive Neuroscience 97
Replace Heng Tang with:
Heng Tang China
Wilbert O. Galitz United States
Johann Schrammel Austria
Keith A. Butler United States
Theresa Eriksson Sweden
Nelson Baloian Chile
Teija Vainio Finland
Konstantinos Papangelis China
Fredrik Ljungberg Sweden
Mark Podlaseck relative to Heng Tang China Heng Tang's profile →
Citations per field
00.5×2.7×
Heng Tang · 1×
Citations per year

Countries citing papers authored by Mark Podlaseck

Since Specialization
Citations

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

Fields of papers citing papers by Mark Podlaseck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201250
2 20090
3 20091
4 20093
5 200911
6 20084
7 20071
8 20071
9 200540
10 200519
11 20055
12 200421
13
Embedding Interactions in a Retail Store Environment: The Design and Lessons Learned.
200317
14 200315
15 20039
16 200345
17 200314
18
A personalized navigation tool for online listening and free browsing: The Glass Engine
20023
19 200059
20 20006

About Mark Podlaseck

Mark Podlaseck is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Information Systems and Management, Information Systems and Management Information Systems, having authored 32 papers that have together received 533 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (13 papers), Augmented Reality Applications (11 papers), Virtual Reality Applications and Impacts (5 papers), Personal Information Management and User Behavior (4 papers), Tactile and Sensory Interactions (4 papers), Innovative Human-Technology Interaction (4 papers), Speech and dialogue systems (3 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Human-Computer Interaction (249 citations), Information Systems and Management (91 citations), Computer Vision and Pattern Recognition (201 citations), Marketing (65 citations) and Cognitive Neuroscience (97 citations). Mark Podlaseck has collaborated with scholars based in United States and Brazil. Frequent co-authors include Cláudio Pinhanez, Robert Hoch, Edith Schonberg, Rick Kjeldsen, Gopal Pingali, Juhnyoung Lee, Anthony Levas, Stephen Voida, Jing Dai and Milind Naphade. Their work appears in journals such as Communications of the ACM, IEEE Multimedia, Data Mining and Knowledge Discovery, The Science of The Total Environment and International Conference on Human-Computer Interaction.

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

Rankless by CCL
2026