Markus Schaal

508 total citations
13 papers, 247 citations indexed

About

Markus Schaal is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Markus Schaal has authored 13 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Communication. Recurrent topics in Markus Schaal's work include Topic Modeling (4 papers), Advanced Text Analysis Techniques (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). Markus Schaal is often cited by papers focused on Topic Modeling (4 papers), Advanced Text Analysis Techniques (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). Markus Schaal collaborates with scholars based in Ireland, Türkiye and Netherlands. Markus Schaal's co-authors include Stefan Lessmann, Barry Smyth, Ruihai Dong, Michael P. O’Mahony, Kevin McCarthy, Roland M. Mueller, Roland Müller, Hayrettin Gürkök and Rachael Rafter and has published in prestigious journals such as Expert Systems with Applications, The Learning Organization and Journal of Intelligent Information Systems.

In The Last Decade

Markus Schaal

10 papers receiving 236 citations

Peers

Markus Schaal

AI

IS

SPS

MARKE

MSOR

Inma Garcia Spain

Narisa Zhao China

Allison J. B. Chaney United States

Stanley Loh Brazil

Bogdan Walek Czechia

Yanzan Zhou United States

Deepjyoti Roy India

Yuanxin Ouyang China

Harsh Khatter India

Konstantin Bauman United States

Inma Garcia Spain

Markus Schaal

78 ×0.6

AI

208 ×1.8

IS

105 ×1.4

SPS

31 ×0.6

MARKE

36 ×1.4

MSOR

Citations per year, relative to Markus Schaal Markus Schaal (= 1×) peers Inma Garcia

Countries citing papers authored by Markus Schaal

Since Specialization

Citations

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

Fields of papers citing papers by Markus Schaal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Schaal

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Schaal. A scholar is included among the top collaborators of Markus Schaal 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 Markus Schaal. Markus Schaal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Lessmann, Stefan, et al.. (2020). Predicting online shopping behaviour from clickstream data using deep learning. Expert Systems with Applications. 150. 113342–113342. 104 indexed citations

2.

Dong, Ruihai, Michael P. O’Mahony, Markus Schaal, Kevin McCarthy, & Barry Smyth. (2015). Combining similarity and sentiment in opinion mining for product recommendation. Journal of Intelligent Information Systems. 46(2). 285–312. 47 indexed citations

3.

Rafter, Rachael, et al.. (2013). The curated web. Research Repository UCD (University College Dublin). 101–104. 2 indexed citations

4.

Dong, Ruihai, Markus Schaal, Michael P. O’Mahony, & Barry Smyth. (2013). Topic extraction from online reviews for classification and recommendation. Research Repository UCD (University College Dublin). 1310–1316. 34 indexed citations

5.

Dong, Ruihai, Michael P. O’Mahony, Markus Schaal, Kevin McCarthy, & Barry Smyth. (2013). Sentimental product recommendation. Research Repository UCD (University College Dublin). 411–414. 38 indexed citations

6.

Dong, Ruihai, Kevin McCarthy, Michael P. O’Mahony, Markus Schaal, & Barry Smyth. (2012). Towards an intelligent reviewer's assistant. Research Repository UCD (University College Dublin). 8 indexed citations

7.

Dong, Ruihai, Kevin McCarthy, Michael P. O’Mahony, Markus Schaal, & Barry Smyth. (2012). First demonstration of the intelligent reviewer's assistant. 337–338. 1 indexed citations

8.

Schaal, Markus, et al.. (2012). Information quality dimensions for the social web. 53–58. 9 indexed citations

9.

Schaal, Markus, et al.. (2010). Quality assessment in the blog space. The Learning Organization. 17(6). 529–536. 2 indexed citations

10.

Gürkök, Hayrettin, et al.. (2008). A graph based approach to estimating lexical cohesion. Bilkent University Institutional Repository (Bilkent University). 35–43. 2 indexed citations

11.

Schaal, Markus, et al.. (2007). Dynamics of commitment and contribution quality in collaborative communities. Bilkent University Institutional Repository (Bilkent University). 2870. 294–298.

12.

Schaal, Markus, et al.. (2002). WrapIt: Automated Integration of Web Databases with Extensional Overlaps.

13.

Schaal, Markus. (2000). A computational model for information value. Refubium (Universitätsbibliothek der Freien Universität Berlin).

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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