Intelligent Document Processing
Intelligent Document Processing is an academic concept referring to a computational method that automates the extraction, interpretation, and classification of information from unstructured or semi-structured documents by integrating optical character recognition, natural language processing, and machine learning to enable context-aware document analysis in public sector automation.
407
Publications
17.9K
Citations
1.1K
Authors
391
Institutions
Publications per year
2017–2026
104
Parents
407
A Business Intelligence System
H. P. Luhn · IBM Journal of Research and Development · 1958 · 727 citations
1–5 of 407
1.1K
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Laboratoire Lorrain de Recherche en Informatique et ses Applications, France
5 publications · 117 citations
5
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5
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1–5 of 1.1K
391

Concordia University
Montreal, Canada
11 h-index
32 publications
1.1K citations
German Research Centre for Artificial Intelligence
Kaiserslautern, Germany
9 h-index
21 publications
1.1K citations

Indian Statistical Institute
Kolkata, India
9 h-index
18 publications
861 citations
Laboratoire Lorrain de Recherche en Informatique et ses Applications
Nancy, France
9 h-index
15 publications
389 citations
University at Buffalo, State University of New York
Buffalo, United States
8 h-index
15 publications
539 citations

Democritus University of Thrace
Komotini, Greece
7 h-index
15 publications
870 citations
University of Bari Aldo Moro
Bari, Italy
6 h-index
26 publications
760 citations

Université de Rouen Normandie
Rouen, France
6 h-index
20 publications
599 citations
1–8 of 391
Repository · 12 publications · 269 citations
12
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11 publications · 501 citations
11
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10 publications · 449 citations
10
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7 publications · 358 citations
7
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TPAMI · 6 publications · 974 citations
6
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1–5