Automated Author ProfileFilippov, Igor
SAIC-Frederick Inc., US
Filippov, Igor
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: 1.8 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
CLEF-IP: Cross-Language Evaluation Forum - Intellectual PropertyThe CLEF-IP track ran from 2009 to 2013 and aimed to investigate IR techniques for patent retrieval.The track utilizes a collection of more than 1.3M patent documents (~2.6 million files) derived from EPO (European Patent Office) sources and EuroPCT Applications (more than 400K documents) published by WIPO (World Intelectual Property Organization). The collection contains documents in English, French and German with at least 150,000 documents in each language, all published before 2001.There were three tasks in 2012: The first one was to find patent documents that are candidates to constitute prior art for a given claim taken from a patent document. The second task, flowchart recognition, asked participants to extract the information in these images and return it in a predefined textual format. The third task, chemical structure regonition, participants had to identify the location of the chemical structures depicted on images of patent pages and, for each of them, return the corresponding structure in a MOL file (a chemical structure file format).FilesDocument CollectionThe first one is a set of XML files representing a total of over 1.3 million patent documents.NOTE: the document collection is the same as the one published for CLEF-IP 2011, excluding images.Topics and AnswersBoth the training and the test topic sets contain also the relevance assessments for the topics.
Authors
- Piroi, Florina ;
- Hanbury, Allan ;
- Lupu, Mihai ;
- Filippov, Igor ;
- Sexton, Alan P. ;
- Magdy, Walid