Carolin Hahnel

564 total citations
34 papers, 352 citations indexed

About

Carolin Hahnel is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Education. According to data from OpenAlex, Carolin Hahnel has authored 34 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Developmental and Educational Psychology, 10 papers in Artificial Intelligence and 10 papers in Education. Recurrent topics in Carolin Hahnel's work include Educational Strategies and Epistemologies (18 papers), Innovative Teaching and Learning Methods (9 papers) and Online Learning and Analytics (6 papers). Carolin Hahnel is often cited by papers focused on Educational Strategies and Epistemologies (18 papers), Innovative Teaching and Learning Methods (9 papers) and Online Learning and Analytics (6 papers). Carolin Hahnel collaborates with scholars based in Germany, United States and South Korea. Carolin Hahnel's co-authors include Frank Goldhammer, Johannes Naumann, Ulf Kroehne, Cordula Artelt, Cornelia Schoor, Michael Becker-Mrotzek, Mirjam Weis, Joachim Stiensmeier‐Pelster, Paul De Boeck and Malte Schwinger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Educational Psychology and Computers in Human Behavior.

In The Last Decade

Carolin Hahnel

30 papers receiving 340 citations

Peers

Carolin Hahnel
Comparison fields: 5 of 57
  • Developmental and Educational Psychology 176
  • Education 135
  • Artificial Intelligence 67
  • Information Systems 62
  • Computer Science Applications 59
Replace Jesse R. Sparks with:
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Caroline F. Timmers Netherlands
Thorben Jansen Germany
Anne Deiglmayr Germany
Aroutis Foster United States
Man-Wai Chu Canada
Liang‐Yi Li Taiwan
Stephanie B. Corliss United States
Timo Leuders Germany
Jesse R. Sparks United States View profile →
Citations per field, relative to Carolin Hahnel
Carolin Hahnel · 1×
Citations per year, relative to Carolin Hahnel
Carolin Hahnel · 1×

Countries citing papers authored by Carolin Hahnel

Since Specialization
Citations

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

Fields of papers citing papers by Carolin Hahnel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carolin Hahnel

This figure shows the co-authorship network connecting the top 25 collaborators of Carolin Hahnel. A scholar is included among the top collaborators of Carolin Hahnel 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 Carolin Hahnel. Carolin Hahnel 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 0
2 0
3 0
4 2
5 1
6 1
7 5
8 2
9 2
10 0
11 8
12 16
13 7
14 7
15 31
16
The NAEP EDM Competition: On the Value of Theory-Driven Psychometrics and Machine Learning for Predictions Based on Log Data.
2
17 20
18 16
19 8
20 3

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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