Mark P. Graus

455 citations
20 papers · 367 · h-index 8

Impact in

Papers in

Mark P. Graus

20 papers receiving 346 citations

Peers

Mark P. Graus
Comparison fields: 5 of 57
  • Information Systems 202
  • General Decision Sciences 15
  • Marketing 69
  • Management Science and Operations Research 70
  • Signal Processing 48
Replace Nava Tintarev with:
Nava Tintarev Netherlands
Chris Newell Switzerland
Amra Delić Bosnia and Herzegovina
Ying‐Hsang Liu Australia
Pinata Winoto China
Daniel Kluver United States
Ke Zhou United Kingdom
Nathan Malkin United States
Christine Utz Germany
Shuo Chang United States
Mark P. Graus relative to Nava Tintarev Netherlands Nava Tintarev's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark P. Graus

Since Specialization
Citations

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

Fields of papers citing papers by Mark P. Graus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Mark P. Graus, 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 P. Graus Line = papers co-authored together Mark P. Graus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2010178
2 201656
3 201534
4
Using latent features diversification to reduce choice difficulty in recommendation lists
201121
5
The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists
201614
6 200813
7 201212
8 201711
9 20197
10 20225
11 20203
12 20213
13 20153
14 20231
15
Can Trailers Help to Alleviate Popularity Bias in Choice-Based Preference Elicitation?
20161
16
Personalizing a parenting app : parenting-style surveys beat behavioral reading-based models
20181
17 20221
18 20191
19 20181
20 20211

About Mark P. Graus

Mark P. Graus is a scholar working on Information Systems, Sociology and Political Science, Information Systems and Management, Marketing and Social Psychology, having authored 20 papers that have together received 367 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (10 papers), Digital Marketing and Social Media (6 papers), Technology Adoption and User Behaviour (6 papers), Consumer Market Behavior and Pricing (5 papers), Design Education and Practice (3 papers), Behavioral Health and Interventions (2 papers), Mental Health Research Topics (2 papers) and Music and Audio Processing (2 papers). The work is most often cited by research in Information Systems (202 citations), General Decision Sciences (15 citations), Marketing (69 citations), Management Science and Operations Research (70 citations) and Signal Processing (48 citations). Mark P. Graus has collaborated with scholars based in Netherlands, Switzerland and Sweden. Frequent co-authors include Martijn C. Willemsen, Bart P. Knijnenburg, Bruce Ferwerda, Marko Tkalčič, Andreu Vall, Markus Schedl, Kai Fu, Wijnand A. IJsselsteijn, Antal Haans and Juho Salminen. Their work appears in journals such as User Modeling and User-Adapted Interaction, Lecture notes in computer science, Communications in computer and information science, TU/e Research Portal and Creativity and Cognition.

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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