Ömer Berat Sezer

13 papers receiving 767 citations

Hit Papers

Context-Aware Computing, Learning, and Big Data in Intern...20172026202020232017201850100150200250

Peers

Ömer Berat Sezer
Comparison fields: 5 of 82
  • Management Science and Operations Research 286
  • Computer Networks and Communications 266
  • Electrical and Electronic Engineering 182
  • Computer Vision and Pattern Recognition 164
  • Artificial Intelligence 151
Replace Bao Rong Chang with:
Bao Rong Chang Taiwan
Khin Lwin United Kingdom
Weiqing Liu China
Nikolay Laptev United States
Jun-Lin Lin Taiwan
Carlos Castro Chile
Zhiquan Ren China
Ashish Sharma India
Abdul Quadir India
Ömer Berat Sezer relative to Bao Rong Chang Taiwan Bao Rong Chang's profile →
Citations per field
00.5×5.9×
Bao Rong Chang · 1×
Citations per year

Countries citing papers authored by Ömer Berat Sezer

Since Specialization
Citations

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

Fields of papers citing papers by Ömer Berat Sezer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ömer Berat Sezer. 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 Ömer Berat Sezer. The network helps show where Ömer Berat Sezer may publish in the future.

Co-authorship network of co-authors of Ömer Berat Sezer

This figure shows the co-authorship network connecting the top 25 collaborators of Ömer Berat Sezer. A scholar is included among the top collaborators of Ömer Berat Sezer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ömer Berat Sezer. Ömer Berat Sezer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1
Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approachbreakdown →
274
2 8
3 3
4 73
5
Context-Aware Computing, Learning, and Big Data in Internet of Things: A Surveybreakdown →
299
6 44
7 25
8 42
9 2
10 25
11 4
12 3
13 1

About Ömer Berat Sezer

Ömer Berat Sezer is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Computer Networks and Communications and Finance, having authored 13 papers that have together received 803 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (4 papers), Advanced Adaptive Filtering Techniques (3 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Management Science and Operations Research (286 citations), Computer Networks and Communications (266 citations) and Finance (116 citations). Ömer Berat Sezer has collaborated with scholars based in Türkiye and United States. Frequent co-authors include Ahmet Murat Özbayoğlu, Erdoğan Doğdu, V. Priya Govindasamy, Edward Chaum, Mohammed Ferdjallah, Thomas P. Karnowski and Kenneth W. Tobin. Their work appears in journals such as IEEE Internet of Things Journal, Applied Soft Computing and PubMed.

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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