Semih Salihoğlu

38 papers receiving 995 citations

Semih Salihoğlu's Hit Papers

GPS 2013 · 331 citations
3310+4+8Years since publication100200300

Peers

Semih Salihoğlu
Comparison fields: 5 of 44
  • Computer Vision and Pattern Recognition 782
  • Signal Processing 241
  • Hardware and Architecture 147
  • Computer Networks and Communications 466
  • Information Systems 399
Replace Jingren Zhou with:
Jingren Zhou United States
Shirish Tatikonda United States
Haijie Gu United States
Zhengping Qian China
Andrey Balmin United States
Dionysios Logothetis United States
Amitabha Roy United States
Khuzaima Daudjee Canada
Gabriel Kliot Israel
Semih Salihoğlu relative to Jingren Zhou United States Jingren Zhou's profile →
Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Semih Salihoğlu

Since Specialization
Citations

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

Fields of papers citing papers by Semih Salihoğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
GPS
Hit paper breakdown →
2013331
2 2017100
3 201777
4 201470
5 201369
6 201747
7 201847
8 202127
9 201424
10 201421
11 201218
12 201818
13 201717
14 201116
15 201815
16 202114
17 201513
18 201513
19 201810
20 20169

About Semih Salihoğlu

Semih Salihoğlu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing, Information Systems and Artificial Intelligence, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Graph Theory and Algorithms (28 papers), Advanced Database Systems and Queries (18 papers), Data Management and Algorithms (16 papers), Cloud Computing and Resource Management (9 papers), Advanced Graph Neural Networks (8 papers), Complexity and Algorithms in Graphs (5 papers), Scientific Computing and Data Management (5 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (782 citations), Signal Processing (241 citations), Hardware and Architecture (147 citations), Computer Networks and Communications (466 citations) and Information Systems (399 citations). Semih Salihoğlu has collaborated with scholars based in Canada, United States and Greece. Frequent co-authors include Jennifer Widom, M. TAMER ÖZSU, Jimmy Lin, Foto Afrati, Jeffrey D. Ullman, Anish Das Sarma, Manas Joglekar, Frank McSherry, Khaled Ammar and Sungpack Hong. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record, IEEE Internet Computing, IEEE Transactions on Parallel and Distributed Systems and ACM Transactions on Database Systems.

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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