Paul Seitlinger

428 total citations
25 papers, 201 citations indexed

About

Paul Seitlinger is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Information Systems. According to data from OpenAlex, Paul Seitlinger has authored 25 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Developmental and Educational Psychology and 7 papers in Information Systems. Recurrent topics in Paul Seitlinger's work include Innovative Teaching and Learning Methods (11 papers), Recommender Systems and Techniques (6 papers) and Intelligent Tutoring Systems and Adaptive Learning (6 papers). Paul Seitlinger is often cited by papers focused on Innovative Teaching and Learning Methods (11 papers), Recommender Systems and Techniques (6 papers) and Intelligent Tutoring Systems and Adaptive Learning (6 papers). Paul Seitlinger collaborates with scholars based in Austria, Estonia and Chile. Paul Seitlinger's co-authors include Tobias Ley, Dominik Kowald, Elisabeth Lex, Christoph Trattner, Dietrich Albert, Markus Schedl, Thi Ngoc Trang Tran, Alexander Felfernig, Kairit Tammets and Aristidis Protopsaltis and has published in prestigious journals such as Computers in Human Behavior, Acta Psychologica and Applied Cognitive Psychology.

In The Last Decade

Paul Seitlinger

25 papers receiving 193 citations

Peers

Paul Seitlinger
Comparison fields: 5 of 43
  • Information Systems 91
  • Artificial Intelligence 89
  • Developmental and Educational Psychology 55
  • Computer Science Applications 41
  • Sociology and Political Science 28
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Citations per field, relative to Paul Seitlinger
Paul Seitlinger · 1×
Citations per year, relative to Paul Seitlinger
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Countries citing papers authored by Paul Seitlinger

Since Specialization
Citations

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

Fields of papers citing papers by Paul Seitlinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Seitlinger

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 29
4 13
5 3
6 3
7 14
8 3
9 11
10 17
11 13
12 3
13 8
14
Inferring a Learner's Cognitive, Motivational and Emotional State in a Digital Educational Game.
10
15 9
16 1
17
Assessment of the Emotional State by Psycho-physiological and Implicit Measurements
1
18
Why People Don't Swarm: Evidence for a Dual-process Memory Model in Collaborative Tagging
2
19
A Cognitive Perspective on Emergent Semantics in Collaborative Tagging: The Basic Level Effect
4
20 11

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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