Automated Author ProfileMorkevicius, Nerijus
Kauno Technologijos Universitetas0000-0003-0604-3004
Morkevicius, Nerijus
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.1 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains 2648 records of web sites of different categories. The first column contains an URL for the web site, while the second column contains the web site category index and name. There are 7 categories in total:0 – Business (508); 1 – Education (394); 2 – Adult (115); 3 – Games (385); 4 – Health (456); 5 – Sport (299); 6 – Travel (491).Please note that some URLs can become unavailable over time.
Authors
- Janaviciute, Audrone ;
- Liutkevicius, Agnius ;
- Morkevicius, Nerijus
This dataset contains 2648 records of web sites of different categories. The first column contains an URL for the web site, while the second column contains the web site category index and name. There are 7 categories in total:0 – Business (508); 1 – Education (394); 2 – Adult (115); 3 – Games (385); 4 – Health (456); 5 – Sport (299); 6 – Travel (491).Please note that some URLs can become unavailable over time.
Authors
- Janaviciute, Audrone ;
- Liutkevicius, Agnius ;
- Morkevicius, Nerijus
This dataset contains email metadata collected from the “SpamAssassin public mail corpus” (https://spamassassin.apache.org/old/publiccorpus/, accessed on 31 May 2024). The metadata was extracted from all message and processed according to the email domain specific ontology presented in file file email.rdf. The visual representation of the ontology is presented in file email.svg. Dataset was used for machine learning experiments while preparing paper. Detailed description of the fields in file email.csv is available in the original paper (https://www.mdpi.com/2079-9292/13/14/2716) published by the authors and freely available at the publishers site. Please include proper paper citation if dataset is used for further experiments.
Authors
- Morkevicius, Nerijus
This dataset contains email metadata collected from the “SpamAssassin public mail corpus” (https://spamassassin.apache.org/old/publiccorpus/, accessed on 31 May 2024). The metadata was extracted from all message and processed according to the email domain specific ontology presented in file file email.rdf. The visual representation of the ontology is presented in file email.svg. Dataset was used for machine learning experiments while preparing paper. Detailed description of the fields in file email.csv is available in the original paper (https://www.mdpi.com/2079-9292/13/14/2716) published by the authors and freely available at the publishers site. Please include proper paper citation if dataset is used for further experiments.
Authors
- Morkevicius, Nerijus
This dataset contains email metadata collected from the “SpamAssassin public mail corpus” (https://spamassassin.apache.org/old/publiccorpus/, accessed on 31 May 2024). The metadata was extracted from all message and processed according to the email domain specific ontology presented in file email.rdf. The visual representation of the ontology is presented in file email.svg. File email.txt contains more detailed description of all fields.
Authors
- Morkevicius, Nerijus