Leo Leppänen

417 citations
24 papers · 263 indexed · h-index 10
Topics
Topic Modeling (8 papers)Online Learning and Analytics (7 papers)Natural Language Processing Techniques (7 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessMedia and Communication

In The Last Decade

Leo Leppänen

22 papers receiving 246 citations

Peers

Leo Leppänen
Comparison fields: 5 of 49
  • Artificial Intelligence 104
  • Computer Science Applications 91
  • Communication 48
  • Sociology and Political Science 47
  • Developmental and Educational Psychology 42
Replace Tobias Hecking with:
Tobias Hecking Germany
Gonzalo Gabriel Méndez Ecuador
Stephen Ramsay United States
Frank Loll Germany
Giovanni Fulantelli Italy
Grégory Dyke France
John Connelly United States
Inés Ruíz Requies Spain
Shaun Kellogg United States
Στέργιος Τέγος Greece
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Citations per field
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Citations per year

Countries citing papers authored by Leo Leppänen

Since Specialization
Citations

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

Fields of papers citing papers by Leo Leppänen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leo Leppänen

This figure shows the co-authorship network connecting the top 25 collaborators of Leo Leppänen. A scholar is included among the top collaborators of Leo Leppänen 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 Leo Leppänen. Leo Leppänen 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
#WorkIndexed citations
1 1
2 4
3 1
4 1
5 1
6 1
7 1
8 9
9 21
10
News Automation: The rewards, risks and realities of 'machine journalism'
18
11 9
12
Towards AI-Driven Society: A Legal Perspective
0
13 22
14 56
15 12
16 11
17 22
18 16
19 1
20 16

About Leo Leppänen

Leo Leppänen is a scholar working on Computer Science Applications, Artificial Intelligence and Developmental and Educational Psychology, having authored 24 papers that have together received 263 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Online Learning and Analytics (7 papers) and Natural Language Processing Techniques (7 papers). The work is most often cited by research in Computer Science Applications (91 citations), Communication (48 citations) and Developmental and Educational Psychology (42 citations). Leo Leppänen has collaborated with scholars based in Finland, United Kingdom and United States. Frequent co-authors include Hannu Toivonen, Myriam Munezero, Arto Hellas, Juho Leinonen, Petri Ihantola, Mark Granroth-Wilding, Asta Bäck, Carl‐Gustav Lindén, Caj Södergård and Arto Vihavainen. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Media and Communication.

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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