Başak Alper

8 papers receiving 284 citations

Peers

Başak Alper
Comparison fields: 5 of 51
  • Computer Vision and Pattern Recognition 248
  • Computer Graphics and Computer-Aided Design 25
  • Human-Computer Interaction 35
  • Signal Processing 64
  • Statistical and Nonlinear Physics 55
Replace G. Ellis with:
G. Ellis United Kingdom
Paolo Federico Austria
Beth Hetzler United States
Bruno Pinaud France
Tarik Crnovrsanin United States
B. Johnson United Kingdom
Wolfgang Kienreich Austria
Lauren Bradel United States
Steffen Hadlak Germany
V.L. Crow United States
Başak Alper relative to G. Ellis United Kingdom G. Ellis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Başak Alper

Since Specialization
Citations

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

Fields of papers citing papers by Başak Alper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Başak Alper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Başak Alper Line = papers co-authored together Başak Alper links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2011114
2 201377
3 201153
4 201835
5 20147
6 20126
7
Dynamic visualization of geographic networks using surface deformations with constraints
20073
8
Immersed in Unfolding Complex Systems
20101

About Başak Alper

Başak Alper is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Sociology and Political Science, Geography, Planning and Development and Automotive Engineering, having authored 8 papers that have together received 296 indexed citations. Recurring topics across this work include Data Visualization and Analytics (7 papers), Data Management and Algorithms (4 papers), Multimedia Communication and Technology (3 papers), Geographic Information Systems Studies (3 papers), Complex Network Analysis Techniques (1 paper), Interactive and Immersive Displays (1 paper), Quantum Computing Algorithms and Architecture (1 paper) and Quantum and electron transport phenomena (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (248 citations), Computer Graphics and Computer-Aided Design (25 citations), Human-Computer Interaction (35 citations), Signal Processing (64 citations) and Statistical and Nonlinear Physics (55 citations). Başak Alper has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Nicolas Riche, Gonzalo Ramos, Mary Czerwinski, Nathalie Henry Riche, Tobias Höllerer, Wouter Meulemans, Bettina Speckmann, Tim Dwyer, Angus G. Forbes and JoAnn Kuchera-Morin. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications and Sabanci University.

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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