Ali Furkan Biten

473 citations
10 papers · 169 indexed · h-index 6
Topics
Multimodal Machine Learning Applications (5 papers)Advanced Image and Video Retrieval Techniques (3 papers)Handwritten Text Recognition Techniques (2 papers)
Partner nations
TürkiyeSpainTunisia

In The Last Decade

Ali Furkan Biten

10 papers receiving 165 citations

Peers

Ali Furkan Biten
Comparison fields: 5 of 48
  • Computer Vision and Pattern Recognition 89
  • Artificial Intelligence 55
  • Cognitive Neuroscience 39
  • Sociology and Political Science 35
  • Experimental and Cognitive Psychology 29
Replace Andrew M. Demetriou with:
Andrew M. Demetriou Netherlands
Andrew Kania United States
Jonathan Weinel United Kingdom
Dimosthenis Kontogiorgos Sweden
Sidney D’Mello United States
Seungbae Kim United States
Gözde Özbal Italy
Athanasios Psaltis Greece
Lauren Collister United States
Marco Vala Portugal
Ali Furkan Biten relative to Andrew M. Demetriou Netherlands Andrew M. Demetriou's profile →
Citations per field
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Andrew M. Demetriou · 1×
Citations per year

Countries citing papers authored by Ali Furkan Biten

Since Specialization
Citations

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

Fields of papers citing papers by Ali Furkan Biten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Furkan Biten. 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 Ali Furkan Biten. The network helps show where Ali Furkan Biten may publish in the future.

Co-authorship network of co-authors of Ali Furkan Biten

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 1
2 15
3 47
4 13
5 18
6 4
7 5
8 3
9 34
10 29

About Ali Furkan Biten

Ali Furkan Biten is a scholar working on Religious studies, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 10 papers that have together received 169 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Handwritten Text Recognition Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (89 citations), Experimental and Cognitive Psychology (29 citations) and Museology (7 citations). Ali Furkan Biten has collaborated with scholars based in Türkiye, Spain and Tunisia. Frequent co-authors include Dìmosthenis Karatzas, Lluís Gómez, R. Manmatha, Srikar Appalaraju, Ron Litman, Karel Kleisner, S. Adil Sarıbay, Vít Třebický, Dıane Sunar and Türker Özkan. Their work appears in journals such as PLoS ONE, Emotion and Current Psychology.

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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