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Devanagari OCR using a recognition driven segmentation framework and stochastic language models

Overview of attention for article published in International Journal on Document Analysis and Recognition (IJDAR), May 2009
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Mentioned by

patent
4 patents

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
44 Mendeley
citeulike
1 CiteULike
Title
Devanagari OCR using a recognition driven segmentation framework and stochastic language models
Published in
International Journal on Document Analysis and Recognition (IJDAR), May 2009
DOI 10.1007/s10032-009-0086-8
Authors

Suryaprakash Kompalli, Srirangaraj Setlur, Venu Govindaraju

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 5%
India 1 2%
Unknown 41 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 25%
Researcher 11 25%
Student > Postgraduate 4 9%
Student > Master 4 9%
Student > Bachelor 3 7%
Other 7 16%
Unknown 4 9%
Readers by discipline Count As %
Computer Science 25 57%
Engineering 9 20%
Agricultural and Biological Sciences 2 5%
Mathematics 1 2%
Unknown 7 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 April 2018.
All research outputs
#7,863,403
of 23,842,189 outputs
Outputs from International Journal on Document Analysis and Recognition (IJDAR)
#63
of 161 outputs
Outputs of similar age
#34,966
of 99,200 outputs
Outputs of similar age from International Journal on Document Analysis and Recognition (IJDAR)
#2
of 3 outputs
Altmetric has tracked 23,842,189 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 161 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 99,200 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.