Bora Uçar

81 papers receiving 1.1k citations

Peers

Bora Uçar
Comparison fields: 5 of 75
  • Computational Mathematics 194
  • Hardware and Architecture 453
  • Computer Networks and Communications 600
  • Computational Theory and Mathematics 247
  • Information Systems 259
Replace Padma Raghavan with:
Padma Raghavan United States
Oded Schwartz Israel
Harry A. G. Wijshoff Netherlands
Louis-Noël Pouchet United States
Sven Verdoolaege Belgium
Jiajia Li United States
Yogish Sabharwal India
Anton Lokhmotov United Kingdom
Uday Kumar Reddy Bondhugula India
Jason Ansel United States
Bora Uçar relative to Padma Raghavan United States Padma Raghavan's profile →
Citations per field
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Padma Raghavan · 1×
Citations per year

Countries citing papers authored by Bora Uçar

Since Specialization
Citations

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

Fields of papers citing papers by Bora Uçar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bora Uçar, 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 Bora Uçar Line = papers co-authored together Bora Uçar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005108
2 201092
3 201583
4 201159
5 201646
6 201445
7 201641
8 201436
9 200736
10 201934
11 201232
12 201930
13 201130
14 201829
15 201926
16 200726
17 201125
18 201524
19 201723
20 201122

About Bora Uçar

Bora Uçar is a scholar working on Hardware and Architecture, Computational Theory and Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Computational Mathematics, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Interconnection Networks and Systems (28 papers), Parallel Computing and Optimization Techniques (27 papers), VLSI and FPGA Design Techniques (23 papers), Matrix Theory and Algorithms (18 papers), Graph Theory and Algorithms (14 papers), Complexity and Algorithms in Graphs (11 papers), Advanced Graph Theory Research (10 papers) and Distributed and Parallel Computing Systems (9 papers). The work is most often cited by research in Computational Mathematics (194 citations), Hardware and Architecture (453 citations), Computer Networks and Communications (600 citations), Computational Theory and Mathematics (247 citations) and Information Systems (259 citations). Bora Uçar has collaborated with scholars based in France, United States and Türkiye. Frequent co-authors include Kamer Kaya, Cevdet Aykanat, Ümit V. Çatalyürek, Mehmet Ali DEVECİ, Yves Robert, Iain Duff, Daniel Ruiz, Philip A. Knight, François-Henry Rouet and Michele Benzi. Their work appears in journals such as SIAM Journal on Scientific Computing, Journal of Parallel and Distributed Computing, Journal of Computational Science, Linear Algebra and its Applications and SIAM Journal on Matrix Analysis and Applications.

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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