Anna Koufakou

512 citations
27 papers · 326 indexed · h-index 11
Topics
Anomaly Detection Techniques and Applications (6 papers)Sentiment Analysis and Opinion Mining (5 papers)Data Mining Algorithms and Applications (5 papers)

In The Last Decade

Anna Koufakou

24 papers receiving 299 citations

Peers

Anna Koufakou
Comparison fields: 5 of 66
  • Artificial Intelligence 256
  • Computer Networks and Communications 79
  • Signal Processing 49
  • Information Systems 47
  • Statistics and Probability 25
Replace Samar Wazir with:
Samar Wazir India
Zdravko Markov United States
Beishui Liao China
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Countries citing papers authored by Anna Koufakou

Since Specialization
Citations

This map shows the geographic impact of Anna Koufakou'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 Anna Koufakou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Koufakou more than expected).

Fields of papers citing papers by Anna Koufakou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Koufakou. 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 Anna Koufakou. The network helps show where Anna Koufakou may publish in the future.

Co-authorship network of co-authors of Anna Koufakou

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Koufakou. A scholar is included among the top collaborators of Anna Koufakou 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 Anna Koufakou. Anna Koufakou 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
#WorkIndexed citations
1 0
2 2
3 17
4 4
5
Lexicon-Enhancement of Embedding-based Approaches Towards the Detection of Abusive Language
2
6 34
7 1
8
Exploring the Use of Lexicons to aid Deep Learning towards the Detection of Abusive Language.
2
9 0
10 10
11 1
12 20
13 5
14
APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining.
1
15
Outlier Detection for Large High-Dimensional Categorical Data using Non-Derivable and Non-Almost-Derivable Sets.
3
16
Scalable and efficient outlier detection in large distributed data sets with mixed-type attributes
4
17
Detecting Outliers in High-Dimensional Datasets with Mixed Attributes.
12
18 37
19 10
20 24

About Anna Koufakou

Anna Koufakou is a scholar working on Architecture, Artificial Intelligence and Computer Science Applications, having authored 27 papers that have together received 326 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (6 papers), Sentiment Analysis and Opinion Mining (5 papers) and Data Mining Algorithms and Applications (5 papers). The work is most often cited by research in Artificial Intelligence (256 citations), Signal Processing (49 citations) and Computer Networks and Communications (79 citations). Anna Koufakou has collaborated with scholars based in United States, Puerto Rico and Italy. Frequent co-authors include Michael Georgiopoulos, Jimmy Secretan, Viviana Patti, Valerio Basile, Takis Kasparis, Endang Wahyu Pamungkas, Enrique Ortiz, Georgios C. Anagnostopoulos, K. Michael Reynolds and Georgios C. Anagnostopoulos. Their work appears in journals such as Neural Networks, Future Generation Computer Systems and Data Mining and Knowledge Discovery.

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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