Başak Alper

835 citations
10 papers · 611 · h-index 7

Impact in

Papers in

Başak Alper

10 papers receiving 584 citations

Peers

Başak Alper
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 461
  • Computer Graphics and Computer-Aided Design 48
  • Human-Computer Interaction 61
  • Statistical and Nonlinear Physics 119
  • Signal Processing 98
Replace Danielle Albers with:
Danielle Albers United States
Daniela Oelke Germany
Seok‐Hee Hong Australia
Elizabeth Hetzler United States
Hayden Chak Hay Lam United States
S. Havre United States
Bruno Pinaud France
Matthew Ward United States
Paolo Federico Austria
Jon Meyer United States
Başak Alper relative to Danielle Albers United States Danielle Albers'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 21 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

10 of 10 papers shown
#Work
1 2011139
2 2013136
3 2017116
4 201395
5 201164
6 201841
7 20148
8 20127
9
Dynamic visualization of geographic networks using surface deformations with constraints
20074
10
Immersed in Unfolding Complex Systems
20101

About Başak Alper

Başak Alper is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Geography, Planning and Development, Sociology and Political Science and Human-Computer Interaction, having authored 10 papers that have together received 611 indexed citations. Recurring topics across this work include Data Visualization and Analytics (9 papers), Data Management and Algorithms (4 papers), Multimedia Communication and Technology (4 papers), Geographic Information Systems Studies (3 papers), Video Analysis and Summarization (2 papers), Mental Health Research Topics (1 paper), Quantum Computing Algorithms and Architecture (1 paper) and Interactive and Immersive Displays (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (461 citations), Computer Graphics and Computer-Aided Design (48 citations), Human-Computer Interaction (61 citations), Statistical and Nonlinear Physics (119 citations) and Signal Processing (98 citations). Başak Alper has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Nathalie Henry Riche, Nicolas Riche, Gonzalo Ramos, Mary P. Czerwinski, Jeremy Boy, Fanny Chevalier, Tobias Isenberg, Jean‐Daniel Fekete, Benjamin Bach and Tevfik Metin Sezgin. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, Sabanci University and HAL (Le Centre pour la Communication Scientifique Directe).

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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