Semih Salihoğlu

40 papers receiving 1.1k citations

Semih Salihoğlu's Hit Papers

GPS 2013 · 368 citations
3680+4+8Years since publication100200300

Peers

Semih Salihoğlu
Comparison fields: 5 of 45
  • Computer Vision and Pattern Recognition 843
  • Signal Processing 262
  • Computer Networks and Communications 523
  • Hardware and Architecture 149
  • Information Systems 444
Replace Jingren Zhou with:
Jingren Zhou United States
Haijie Gu United States
Zhengping Qian China
Khuzaima Daudjee Canada
Dionysios Logothetis United States
Zuhair Khayyat Saudi Arabia
Andrey Gubichev Germany
Gabriel Kliot Israel
Ibrahim Abdelaziz Saudi Arabia
Semih Salihoğlu relative to Jingren Zhou United States Jingren Zhou's profile →
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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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
GPS
Hit paper breakdown →
2013368
2 2017107
3 201385
4 201783
5 201474
6 201851
7 201749
8 202129
9 201426
10 201424
11 201221
12 201120
13 201719
14 201819
15 201815
16 202115
17 201514
18 201514
19 202213
20 201810

About Semih Salihoğlu

Semih Salihoğlu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Information Systems, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Graph Theory and Algorithms (30 papers), Advanced Database Systems and Queries (18 papers), Data Management and Algorithms (16 papers), Advanced Graph Neural Networks (11 papers), Cloud Computing and Resource Management (9 papers), Scientific Computing and Data Management (5 papers), Data Visualization and Analytics (4 papers) and Data Quality and Management (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (843 citations), Signal Processing (262 citations), Computer Networks and Communications (523 citations), Hardware and Architecture (149 citations) and Information Systems (444 citations). Semih Salihoğlu has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Jennifer Widom, M. TAMER ÖZSU, Jimmy Lin, Jeffrey D. Ullman, Anish Das Sarma, Foto Afrati, Frank McSherry, Manas Joglekar, Khaled Ammar and Sungpack Hong. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record, ACM Transactions on Database Systems, IEEE Internet Computing and IEEE Transactions on Parallel and Distributed 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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