Anni Coden

1.1k total citations
25 papers, 694 citations indexed

About

Anni Coden is a scholar working on Artificial Intelligence, Molecular Biology and Signal Processing. According to data from OpenAlex, Anni Coden has authored 25 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 6 papers in Molecular Biology and 4 papers in Signal Processing. Recurrent topics in Anni Coden's work include Natural Language Processing Techniques (16 papers), Topic Modeling (14 papers) and Biomedical Text Mining and Ontologies (6 papers). Anni Coden is often cited by papers focused on Natural Language Processing Techniques (16 papers), Topic Modeling (14 papers) and Biomedical Text Mining and Ontologies (6 papers). Anni Coden collaborates with scholars based in United States, India and Israel. Anni Coden's co-authors include Eric W. Brown, John Prager, Dragomir Radev, Michael Tanenblatt, Piet C. de Groen, Guergana Savova, Christopher G. Chute, D. James Cooper, Wei Guan and James Masanz and has published in prestigious journals such as IBM Journal of Research and Development, Journal of Biomedical Informatics and Lecture notes in computer science.

In The Last Decade

Anni Coden

25 papers receiving 615 citations

Peers

Anni Coden
Comparison fields: 5 of 77
  • Artificial Intelligence 569
  • Molecular Biology 295
  • Information Systems 127
  • Computer Vision and Pattern Recognition 44
  • Health Information Management 39
Replace Susanne M. Humphrey with:
Susanne M. Humphrey United States
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José M. Castaño United States
György Szarvas Hungary
Víctor Fresno Spain
Manuel Palomar Spain
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Susanne M. Humphrey United States View profile →
Citations per field, relative to Anni Coden
Anni Coden · 1×
Citations per year, relative to Anni Coden
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Countries citing papers authored by Anni Coden

Since Specialization
Citations

This map shows the geographic impact of Anni Coden's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anni Coden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anni Coden more than expected).

Fields of papers citing papers by Anni Coden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anni Coden. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anni Coden. The network helps show where Anni Coden may publish in the future.

Co-authorship network of co-authors of Anni Coden

This figure shows the co-authorship network connecting the top 25 collaborators of Anni Coden. A scholar is included among the top collaborators of Anni Coden based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anni Coden. Anni Coden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
Language Agnostic Dictionary Extraction.
1
2
Symbiotic Cognitive Computing through Iteratively Supervised Lexicon Induction.
1
3 5
4
Did you mean A or B? Supporting Clarification Dialog for Entity Disambiguation.
4
5
The ConceptMapper Approach to Named Entity Recognition
57
6 4
7 140
8 56
9 1
10 37
11 4
12 6
13 10
14 21
15 3
16 1
17 11
18 23
19 156
20
The Use of Predictive Annotation for Question Answering in TREC8.
59

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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