Esko Nuutila
- Computer Science Applications top 10%
- Software top 10%
- Model-Driven Software Engineering Techniques 1
- Software Reliability and Analysis Research 1
- Signal Processing top 10%
- Data Management and Algorithms 6
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- Advanced Database Systems and Queries 9
- Interconnection Networks and Systems 2
- Artificial Intelligence top 10%
- Semantic Web and Ontologies 10
- AI-based Problem Solving and Planning 2
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- Advanced Graph Theory Research 3
Esko Nuutila
20 papers receiving 292 citations
Peers
Comparison fields: 5 of 71
- Computer Science Applications 38
- Software 25
- Signal Processing 59
- Computer Networks and Communications 116
- Artificial Intelligence 132
Countries citing papers authored by Esko Nuutila
This map shows the geographic impact of Esko Nuutila'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 Esko Nuutila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esko Nuutila more than expected).
Fields of papers citing papers by Esko Nuutila
This network shows the impact of papers produced by Esko Nuutila. 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 Esko Nuutila. The network helps show where Esko Nuutila may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Esko Nuutila, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 5 | |
| 2 | 2016 | 4 | |
| 3 | 2016 | 4 | |
| 4 | Event processing in RDF | 2013 | 9 |
| 5 | INSTANS: high-performance event processing with standard RDF and SPARQL | 2012 | 28 |
| 6 | 2012 | 12 | |
| 7 | SPARQL-based applications for RDF-encoded sensor data | 2012 | 7 |
| 8 | Helppokäyttöisen verkkopalvelun suunnittelu | 2009 | 1 |
| 9 | Visualizing and specifying ontologies using diagrammatic logics | 2009 | 5 |
| 10 | SizzleLab: Building an Experimentation Platform for Mobile Social Interaction | 2009 | 6 |
| 11 | Kassi: Everyday Favors in Social Media.Matching Resources by Means of Campussourcing | 2009 | 2 |
| 12 | 2009 | 8 | |
| 13 | 2005 | 64 | |
| 14 | TEXT GRAPHS: ACCURATE CONCEPT MAPPING WITH WELL-DEFINED MEANING | 2004 | 4 |
| 15 | 2001 | 5 | |
| 16 | 1995 | 49 | |
| 17 | 1994 | 17 | |
| 18 | 1994 | 93 | |
| 19 | 1990 | 4 | |
| 20 | 1987 | 3 |
About Esko Nuutila
Esko Nuutila is a scholar working on Signal Processing, Software and Computer Networks and Communications, having authored 20 papers that have together received 330 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (10 papers), Advanced Database Systems and Queries (9 papers), Data Management and Algorithms (6 papers), Advanced Graph Theory Research (3 papers), AI-based Problem Solving and Planning (2 papers), Interconnection Networks and Systems (2 papers), Model-Driven Software Engineering Techniques (1 paper) and Software Reliability and Analysis Research (1 paper). The work is most often cited by research in Computer Science Applications (38 citations), Software (25 citations) and Signal Processing (59 citations). Esko Nuutila has collaborated with scholars based in Finland, United Kingdom and Russia. Frequent co-authors include Eljas Soisalon-Soininen, Seppo Törmä, Lauri Malmi, Ian Oliver, Eva Blomqvist, Jari Arkko, Juha Kuusela, John Howse, Manu Tamminen and Gem Stapleton. Their work appears in journals such as ACM SIGPLAN Notices, Discrete Applied Mathematics and Information Processing Letters.
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.