Anika Pflug

476 total citations
13 papers, 307 citations indexed

About

Anika Pflug is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Surgery. According to data from OpenAlex, Anika Pflug has authored 13 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Signal Processing and 5 papers in Surgery. Recurrent topics in Anika Pflug's work include Biometric Identification and Security (11 papers), Face recognition and analysis (10 papers) and Reconstructive Facial Surgery Techniques (5 papers). Anika Pflug is often cited by papers focused on Biometric Identification and Security (11 papers), Face recognition and analysis (10 papers) and Reconstructive Facial Surgery Techniques (5 papers). Anika Pflug collaborates with scholars based in Germany, United States and Norway. Anika Pflug's co-authors include Christoph Busch, Christian Winter, Daniel M. Hartung, Arun Ross, Christian Rathgeb, Bian Yang, Raghavendra Ramachandra, Kiran Raja and Ulrich Scherhag and has published in prestigious journals such as Digital Investigation, IET Biometrics and TUbilio (Technical University of Darmstadt).

In The Last Decade

Anika Pflug

13 papers receiving 288 citations

Peers

Anika Pflug
Comparison fields: 5 of 37
  • Signal Processing 246
  • Computer Vision and Pattern Recognition 231
  • Surgery 75
  • Information Systems 74
  • Artificial Intelligence 36
Replace Christof Kauba with:
Christof Kauba Austria
Hunny Mehrotra India
Zhuoshi Wei United States
Bernhard Prommegger Austria
Tiago de Freitas Pereira Switzerland
Zhenqi Xu China
Shivanand S. Gornale India
Meiling Fang Germany
Feng Yue China
Peter Rot Slovenia
Christof Kauba Austria View profile →
Citations per field, relative to Anika Pflug
Anika Pflug · 1×
Citations per year, relative to Anika Pflug
Anika Pflug · 1×

Countries citing papers authored by Anika Pflug

Since Specialization
Citations

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

Fields of papers citing papers by Anika Pflug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anika Pflug

This figure shows the co-authorship network connecting the top 25 collaborators of Anika Pflug. A scholar is included among the top collaborators of Anika Pflug 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 Anika Pflug. Anika Pflug is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 34
2 8
3 3
4 7
5 3
6 40
7 17
8 9
9 14
10 23
11 1
12 9
13 139

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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