Entity Detection
Entity Detection is a scholarly contribution in the form of a method, model, framework, theory, construct, dataset, task, or metric that identifies and delineates specific referents within a domain of scientific inquiry, distinguished by its focus on the systematic recognition and categorization of discrete elements posited to exist within a given theoretical or empirical context.
485
Publications
30.3K
Citations
1.5K
Authors
481
Institutions
Publications per year
2017–2026
229
Parents
485
Guergana Savova, James Masanz, Philip V. Ogren et al. · Journal of the American Medical Informatics Association · 2010 · 2K citations · Full text
An Overview of Microsoft Academic Service (MAS) and Applications
Arnab Sinha, Z. Shen, Yang Song et al. · 2015 · 929 citations
1–5 of 485
1.5K
12
h-index
10
h-index
9
h-index
7
h-index
7
h-index
1–5 of 1.5K
481
University of Illinois Urbana-Champaign
Urbana, United States
19 h-index
70 publications
14.3K citations
Tsinghua University
Beijing, China
16 h-index
59 publications
4.7K citations
Carnegie Mellon University
Pittsburgh, United States
11 h-index
25 publications
1K citations
Max Planck Institute for Informatics
Saarbrücken, Germany
10 h-index
29 publications
1.3K citations
Microsoft (United States)
Redmond, United States
10 h-index
20 publications
7K citations
National University of Singapore
Singapore, Singapore
10 h-index
24 publications
1.9K citations

University of Massachusetts Amherst
Amherst Center, United States
9 h-index
21 publications
1.5K citations
Rensselaer Polytechnic Institute
Troy, United States
8 h-index
24 publications
2.4K citations
1–8 of 481
Repository · 27 publications · 618 citations
17
h-index
14 publications · 546 citations
13
h-index
Conference · 14 publications · 1.2K citations
13
h-index
6 publications · 267 citations
6
h-index
PVLDB · 5 publications · 479 citations
5
h-index
1–5