Maya Sappelli

985 citations
35 papers · 688 · h-index 12

Impact in

Papers in

Maya Sappelli

35 papers receiving 653 citations

Peers

Maya Sappelli
Comparison fields: 5 of 71
  • Developmental and Educational Psychology 198
  • Cognitive Neuroscience 251
  • Experimental and Cognitive Psychology 166
  • Information Systems and Management 51
  • Artificial Intelligence 185
Replace Hana Vrzáková with:
Hana Vrzáková Finland
María José Rodríguez‐Fórtiz Spain
Mark C. Detweiler United States
Marios Belk Cyprus
Joseph F. Grafsgaard United States
Nadia Mana Italy
Alessandro Cappelletti Italy
Aaron D. Likens United States
Misato Oi Japan
Elena Di Lascio Switzerland
Maya Sappelli relative to Hana Vrzáková Finland Hana Vrzáková's profile →
Citations per field
00.5×4.6×
Hana Vrzáková · 1×
Citations per year

Countries citing papers authored by Maya Sappelli

Since Specialization
Citations

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

Fields of papers citing papers by Maya Sappelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010246
2 2014185
3 201641
4 201622
5 201319
6 201516
7 201413
8 201412
9 201312
10 201611
11 201311
12 201511
13
Term extraction for user profiling: evaluation by the user
20139
14 20208
15
Ontologies for Social, Cognitive and Affective Agent-Based Support of Child’s Diabetes Self Management
20167
16
Query Interpretation – an Application of Semiotics in Image Retrieval
20157
17 20196
18 20156
19 20125
20
Combining textual and non-textual features for e-mail importance estimation
20135

About Maya Sappelli

Maya Sappelli is a scholar working on Artificial Intelligence, Information Systems and Management, Information Systems, Computer Vision and Pattern Recognition and Molecular Biology, having authored 35 papers that have together received 688 indexed citations. Recurring topics across this work include Personal Information Management and User Behavior (11 papers), Advanced Text Analysis Techniques (10 papers), Information Retrieval and Search Behavior (5 papers), Recommender Systems and Techniques (5 papers), Semantic Web and Ontologies (5 papers), Topic Modeling (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Developmental and Educational Psychology (198 citations), Cognitive Neuroscience (251 citations), Experimental and Cognitive Psychology (166 citations), Information Systems and Management (51 citations) and Artificial Intelligence (185 citations). Maya Sappelli has collaborated with scholars based in Netherlands, Finland and Germany. Frequent co-authors include Wessel Kraaij, Suzan Verberne, R. Harald Baayen, Ton Dijkstra, Koji Miwa, Saskia Koldijk, Mark A. Neerincx, Djoerd Hiemstra, Maaike de Boer and Laura Daniele. Their work appears in journals such as User Modeling and User-Adapted Interaction, Information Retrieval, ACM Transactions on Interactive Intelligent Systems, ACM SIGIR Forum and Journal of Memory and Language.

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