Mark Podlaseck

909 citations
38 papers · 729 · h-index 16

Impact in

Papers in

Mark Podlaseck

35 papers receiving 660 citations

Peers

Mark Podlaseck
Comparison fields: 5 of 67
  • Human-Computer Interaction 328
  • Information Systems and Management 103
  • Computer Vision and Pattern Recognition 279
  • Marketing 95
  • Information Systems 172
Replace Chandra Narayanaswami with:
Chandra Narayanaswami United States
Teija Vainio Finland
Petteri Alahuhta Finland
Heng Tang China
Alan Wexelblat United States
Jason Pascoe United Kingdom
Martin Hitz Austria
Fredrik Ljungberg Sweden
Rui José Portugal
Andreas Dieberger United States
Mark Podlaseck relative to Chandra Narayanaswami United States Chandra Narayanaswami's profile →
Citations per field
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Chandra Narayanaswami · 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

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001128
2 200065
3 201254
4 200352
5 200449
6 200544
7 200129
8 200028
9 200524
10 200524
11 200323
12 200422
13 200321
14
Embedding Interactions in a Retail Store Environment: The Design and Lessons Learned.
200320
15 200919
16 200316
17 200315
18 200315
19 200314
20 19878

About Mark Podlaseck

Mark Podlaseck is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Information Systems, Sociology and Political Science and Cognitive Neuroscience, having authored 38 papers that have together received 729 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (15 papers), Augmented Reality Applications (12 papers), Data Visualization and Analytics (6 papers), Virtual Reality Applications and Impacts (5 papers), Multimedia Communication and Technology (5 papers), Tactile and Sensory Interactions (5 papers), Innovative Human-Technology Interaction (5 papers) and Personal Information Management and User Behavior (4 papers). The work is most often cited by research in Human-Computer Interaction (328 citations), Information Systems and Management (103 citations), Computer Vision and Pattern Recognition (279 citations), Marketing (95 citations) and Information Systems (172 citations). Mark Podlaseck has collaborated with scholars based in United States and Brazil. Frequent co-authors include Cláudio Pinhanez, Robert Hoch, Edith Schonberg, Juhnyoung Lee, Rick Kjeldsen, Gopal Pingali, Anthony Levas, Stephen Voida, Jing Dai and Sambit Sahu. Their work appears in journals such as IEEE Multimedia, The Science of The Total Environment, Communications of the ACM, Data Mining and Knowledge Discovery and Lecture notes in computer science.

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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