Maya Sappelli

961 total citations
32 papers, 567 citations indexed

About

Maya Sappelli is a scholar working on Artificial Intelligence, Information Systems and Management and Information Systems. According to data from OpenAlex, Maya Sappelli has authored 32 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Information Systems and Management and 10 papers in Information Systems. Recurrent topics in Maya Sappelli's work include Personal Information Management and User Behavior (10 papers), Advanced Text Analysis Techniques (8 papers) and Topic Modeling (4 papers). Maya Sappelli is often cited by papers focused on Personal Information Management and User Behavior (10 papers), Advanced Text Analysis Techniques (8 papers) and Topic Modeling (4 papers). Maya Sappelli collaborates with scholars based in Netherlands, Italy and Germany. Maya Sappelli's co-authors include Wessel Kraaij, Suzan Verberne, Koji Miwa, R. Harald Baayen, Ton Dijkstra, Saskia Koldijk, Mark A. Neerincx, Djoerd Hiemstra, Maaike de Boer and Gabriella Pasi and has published in prestigious journals such as Information Sciences, Journal of Memory and Language and User Modeling and User-Adapted Interaction.

In The Last Decade

Maya Sappelli

32 papers receiving 547 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Maya Sappelli Netherlands	9	226	178	147	135	80	32	567
Krysta Chauncey United States	10	290 1.3×	183 1.0×	63 0.4×	77 0.6×	18 0.2×	13	476
Amy Witherspoon United States	10	112 0.5×	475 2.7×	412 2.8×	186 1.4×	37 0.5×	16	785
Jaclyn Ocumpaugh United States	17	109 0.5×	464 2.6×	481 3.3×	206 1.5×	78 1.0×	56	1.1k
Ilkka Kosunen Finland	13	260 1.2×	30 0.2×	118 0.8×	126 0.9×	106 1.3×	34	646
Barry Kort United States	5	94 0.4×	206 1.2×	277 1.9×	129 1.0×	36 0.5×	6	572
Elena Di Lascio Switzerland	11	157 0.7×	41 0.2×	36 0.2×	114 0.8×	18 0.2×	22	421
Misato Oi Japan	11	154 0.7×	142 0.8×	67 0.5×	44 0.3×	82 1.0×	37	522
Joseph F. Grafsgaard United States	14	93 0.4×	148 0.8×	237 1.6×	143 1.1×	29 0.4×	23	516
Patrick Chipman United States	7	101 0.4×	268 1.5×	511 3.5×	146 1.1×	42 0.5×	11	723
María José Rodríguez‐Fórtiz Spain	13	114 0.5×	72 0.4×	59 0.4×	25 0.2×	131 1.6×	32	513

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-authorship network of co-authors of Maya Sappelli

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Sappelli. A scholar is included among the top collaborators of Maya Sappelli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maya Sappelli. Maya Sappelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sappelli, Maya, et al.. (2020). Truth or Error? Towards systematic analysis of factual errors in abstractive summaries. Data Archiving and Networked Services (DANS). 1–10. 8 indexed citations

Kraaij, Wessel, Suzan Verberne, Saskia Koldijk, et al.. (2019). Personalized support for well-being at work: an overview of the SWELL project. User Modeling and User-Adapted Interaction. 6 indexed citations

Verberne, Suzan, et al.. (2019). BERT-NL a set of language models pre-trained on the Dutch SoNaR corpus. Data Archiving and Networked Services (DANS). 1 indexed citations

Sappelli, Maya, et al.. (2018). Smart journalism: personalizing, summarizing, and recommending financial economic news. Data Archiving and Networked Services (DANS). 1 indexed citations

Sappelli, Maya, et al.. (2017). A vision on Prescriptive Analytics. Data Archiving and Networked Services (DANS). 2 indexed citations

Oortmerssen, G. van, et al.. (2017). Analyzing cancer forum discussions with text mining. 3 indexed citations

Verberne, Suzan, Maya Sappelli, Djoerd Hiemstra, & Wessel Kraaij. (2016). Evaluation and analysis of term scoring methods for term extraction. Information Retrieval. 19(5). 510–545. 27 indexed citations

Krieger, Hans‐Ulrich, et al.. (2016). Ontologies for Social, Cognitive and Affective Agent-Based Support of Child’s Diabetes Self Management. European Conference on Artificial Intelligence. 35. 7 indexed citations

Sappelli, Maya, Gabriella Pasi, Suzan Verberne, Maaike de Boer, & Wessel Kraaij. (2016). Assessing e-mail intent and tasks in e-mail messages. Information Sciences. 358-359. 1–17. 21 indexed citations

10.

Boer, Maaike de, et al.. (2015). Applying Semantic Reasoning in Image Retrieval. TU/e Research Portal. 11(1). 69–74. 5 indexed citations

11.

Boer, Maaike de, et al.. (2015). Ground Truth on 100 User Queries about TOSO Dataset. 1 indexed citations

12.

Koldijk, Saskia, Maya Sappelli, Suzan Verberne, Mark A. Neerincx, & Wessel Kraaij. (2014). The SWELL Knowledge Work Dataset for Stress and User Modeling Research. Radboud Repository (Radboud University). 291–298. 157 indexed citations

13.

Sappelli, Maya, Suzan Verberne, Saskia Koldijk, & Wessel Kraaij. (2014). Collecting a dataset of information behaviour in context. Radboud Repository (Radboud University). 26–29. 12 indexed citations

14.

Sappelli, Maya, Suzan Verberne, & Wessel Kraaij. (2014). E-mail categorization using partially related training examples. Radboud Repository (Radboud University). 86–95. 4 indexed citations

15.

Verberne, Suzan, Maya Sappelli, & Wessel Kraaij. (2013). Term extraction for user profiling: evaluation by the user. Radboud Repository (Radboud University). 997. 8 indexed citations

16.

Sappelli, Maya, Suzan Verberne, & Wessel Kraaij. (2013). Recommending personalized touristic sights using google places. Radboud Repository (Radboud University). 781–784. 11 indexed citations

17.

Verberne, Suzan, et al.. (2013). Personalization in professional academic search. TNO Repository. 76–83. 3 indexed citations

18.

Verberne, Suzan, et al.. (2013). Reliability and validity of query intent assessments. Journal of the American Society for Information Science and Technology. 64(11). 2224–2237. 18 indexed citations

19.

Sappelli, Maya, Suzan Verberne, & Wessel Kraaij. (2012). TNO and RUN at the TREC 2012 Contextual Suggestion Track : Recommending personalized touristic sights using Google Places. TNO Repository. 1. 1 indexed citations

20.

Sappelli, Maya, Suzan Verberne, & Wessel Kraaij. (2012). Using file system content to organize e-mail. Radboud Repository (Radboud University). 290–293. 5 indexed citations

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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