Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Topic Modeling and Text Analysis for Qualitative Policy Research
This map shows the geographic impact of Eetu Mäkelä'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 Eetu Mäkelä with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eetu Mäkelä more than expected).
This network shows the impact of papers produced by Eetu Mäkelä. 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 Eetu Mäkelä. The network helps show where Eetu Mäkelä may publish in the future.
Co-authorship network of co-authors of Eetu Mäkelä
This figure shows the co-authorship network connecting the top 25 collaborators of Eetu Mäkelä.
A scholar is included among the top collaborators of Eetu Mäkelä 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 Eetu Mäkelä. Eetu Mäkelä is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mäkelä, Eetu, Krista Lagus, Leo Lahti, et al.. (2020). Wrangling with Non-Standard Data. SHILAP Revista de lepidopterología. 3(1). 81–96.7 indexed citations
Kettunen, Kimmo, et al.. (2016). Modern tools for old content-in search of named entities in a finnish ocred historical newspaper collection 1771-1910. Työväentutkimus Vuosikirja. 1670. 124–135.2 indexed citations
10.
Mäkelä, Eetu, et al.. (2016). Proceedings of Digital Humanities 2016, long papers.1 indexed citations
11.
Hyvönen, Eero, et al.. (2015). Second World War on the Semantic Web: The WarSampo Project and Semantic Portal. Aaltodoc (Aalto University).5 indexed citations
12.
Hyvönen, Eero, Jouni Tuominen, Esko Ikkala, & Eetu Mäkelä. (2015). Ontology services based on crowdsourcing: Case national gazetteer of historical places. Aaltodoc (Aalto University).2 indexed citations
13.
Ruotsalo, Tuukka, Eetu Mäkelä, Tomi Kauppinen, et al.. (2009). SmartMuseum : Personalized Context-aware Access to Digital Cultural Heritage.20 indexed citations
14.
Hyvönen, Eero, Eetu Mäkelä, Tomi Kauppinen, et al.. (2009). CultureSampo - Finnish Cultural Heritage Collections on the Semantic Web 2.0.6 indexed citations
15.
Hyvönen, Eero, Eetu Mäkelä, Tuukka Ruotsalo, et al.. (2008). CULTURESAMPO - Finnish culture on the Semantic Web.10 indexed citations
16.
Mäkelä, Eetu, et al.. (2008). Combining context navigation with semantic autocompletion to solve problems in concept selection. 61–68.8 indexed citations
Mäkelä, Eetu, Eero Hyvönen, & Samppa Saarela. (2006). Ontogator -- a semantic view-based search engine service for web applications.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.