Mehmet Aydar

1.8k total citations · 2 hit papers
18 papers, 1.1k citations indexed

About

Mehmet Aydar is a scholar working on Artificial Intelligence, Information Systems and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mehmet Aydar has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mehmet Aydar's work include Semantic Web and Ontologies (6 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Data Quality and Management (4 papers). Mehmet Aydar is often cited by papers focused on Semantic Web and Ontologies (6 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Data Quality and Management (4 papers). Mehmet Aydar collaborates with scholars based in United States, Türkiye and Japan. Mehmet Aydar's co-authors include Chayakrit Krittanawong, Zhen Wang, Takeshi Kitai, HongJu Zhang, Sanjiv M. Narayan, Kipp W. Johnson, Jonathan L. Halperin, Robert S. Rosenson, James K. Min and Zhen Wang and has published in prestigious journals such as Journal of the American College of Cardiology, Scientific Reports and European Heart Journal.

In The Last Decade

Mehmet Aydar

18 papers receiving 1.0k citations

Hit Papers

Artificial Intelligence in Precision Cardiovascular Medicine 2017 2026 2020 2023 2017 2019 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Artificial Intelligence in Precision Cardiovascular Medicine
    2017 639 citations Chayakrit Krittanawong, HongJu Zhang et al. Journal of the American College of Cardiology profile →
  2. Deep learning for cardiovascular medicine: a practical primer
    2019 235 citations Chayakrit Krittanawong, Kipp W. Johnson et al. European Heart Journal profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mehmet Aydar United States 8 363 274 243 226 189 18 1.1k
HongJu Zhang United States 7 330 0.9× 208 0.8× 192 0.8× 225 1.0× 259 1.4× 7 992
Majed S. Al Yami Saudi Arabia 12 155 0.4× 286 1.0× 687 2.8× 367 1.6× 176 0.9× 53 1.8k
Amirata Ghorbani United States 8 433 1.2× 486 1.8× 177 0.7× 567 2.5× 64 0.3× 15 1.4k
Jasjit S. Suri United States 21 410 1.1× 370 1.4× 72 0.3× 412 1.8× 300 1.6× 37 1.3k
Benjamin Shickel United States 15 167 0.5× 225 0.8× 288 1.2× 837 3.7× 343 1.8× 58 1.5k
Sunil Gupta Australia 14 116 0.3× 168 0.6× 137 0.6× 428 1.9× 109 0.6× 43 1.3k
Abdulrahman Alshaya Saudi Arabia 9 86 0.2× 285 1.0× 686 2.8× 368 1.6× 178 0.9× 31 1.6k
Ing Wei Khor Singapore 6 77 0.2× 207 0.8× 164 0.7× 211 0.9× 134 0.7× 7 935
Valentina Bellini Italy 15 236 0.7× 328 1.2× 709 2.9× 359 1.6× 57 0.3× 63 1.3k
Sanjeev P. Bhavnani United States 15 300 0.8× 78 0.3× 89 0.4× 186 0.8× 66 0.3× 53 985

Countries citing papers authored by Mehmet Aydar

Since Specialization
Citations

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

Fields of papers citing papers by Mehmet Aydar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehmet Aydar

This figure shows the co-authorship network connecting the top 25 collaborators of Mehmet Aydar. A scholar is included among the top collaborators of Mehmet Aydar 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 Mehmet Aydar. Mehmet Aydar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Krittanawong, Chayakrit, Anirudh Kumar, Mehmet Aydar, et al.. (2021). MACHINE LEARNING AND DEEP LEARNING TO PREDICT MORTALITY IN PATIENTS WITH SPONTANEOUS CORONARY ARTERY DISSECTION. Journal of the American College of Cardiology. 77(18). 3412–3412. 1 indexed citations
2.
Krittanawong, Chayakrit, Hafeez Ul Hassan Virk, Anirudh Kumar, et al.. (2021). Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissection. Scientific Reports. 11(1). 8992–8992. 40 indexed citations
3.
Krittanawong, Chayakrit, Mehmet Aydar, Hafeez Ul Hassan Virk, et al.. (2021). Artificial Intelligence-Powered Blockchains for Cardiovascular Medicine. Canadian Journal of Cardiology. 38(2). 185–195. 21 indexed citations
4.
Aydar, Mehmet, et al.. (2020). Neural relation extraction: a review. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 29(2). 1029–1043. 5 indexed citations
5.
Aydar, Mehmet, et al.. (2020). Blokzincir Teknolojisinin Sağlık Bilgi Sistemlerinde Kullanımı. European Journal of Science and Technology. 533–538. 6 indexed citations
6.
Krittanawong, Chayakrit, Albert J. Rogers, Mehmet Aydar, et al.. (2019). Integrating blockchain technology with artificial intelligence for cardiovascular medicine. Nature Reviews Cardiology. 17(1). 1–3. 81 indexed citations
7.
Ayvaz, Serkan & Mehmet Aydar. (2019). Dynamic Discovery of Type Classes and Relations in Semantic Web Data. arXiv (Cornell University). 8(1). 57–75. 1 indexed citations
8.
Krittanawong, Chayakrit, Kipp W. Johnson, Robert S. Rosenson, et al.. (2019). Deep learning for cardiovascular medicine: a practical primer. European Heart Journal. 40(25). 2058–2073. 235 indexed citations breakdown →
9.
Aydar, Mehmet & Serkan Ayvaz. (2018). An improved method of locality-sensitive hashing for scalable instance matching. Knowledge and Information Systems. 58(2). 275–294. 11 indexed citations
10.
Krittanawong, Chayakrit, HongJu Zhang, Zhen Wang, Mehmet Aydar, & Takeshi Kitai. (2017). Artificial Intelligence in Precision Cardiovascular Medicine. Journal of the American College of Cardiology. 69(21). 2657–2664. 639 indexed citations breakdown →
11.
Krittanawong, Chayakrit, Mehmet Aydar, & Takeshi Kitai. (2017). Pokémon Go: digital health interventions to reduce cardiovascular risk. Cardiology in the Young. 27(8). 1625–1626. 15 indexed citations
12.
Krittanawong, Chayakrit, Zhen Wang, Hongju Zhang, et al.. (2017). ASSOCIATION BETWEEN SHORT AND LONG SLEEP DURATION AND CARDIOVASCULAR OUTCOMES? A SYSTEMATIC REVIEW AND META-ANALYSIS. Journal of the American College of Cardiology. 69(11). 1798–1798. 4 indexed citations
13.
Aydar, Mehmet & Serkan Ayvaz. (2017). A Suggestion-Based RDF Instance Matching System. International Journal of Computer Theory and Engineering. 9(5). 380–384. 1 indexed citations
14.
Krittanawong, Chayakrit, et al.. (2017). Crowdfunding for cardiovascular research. International Journal of Cardiology. 250. 268–269. 11 indexed citations
15.
Aydar, Mehmet & Austin Melton. (2015). Translation of Instance Data using RDF and Structured Mapping Definitions.. International Semantic Web Conference. 1 indexed citations
16.
Aydar, Mehmet & Austin Melton. (2015). RinsMatch: a suggestion-based instance matching system in RDF Graphs.. 224–225. 1 indexed citations
17.
Ayvaz, Serkan, Mehmet Aydar, & Austin Melton. (2015). Building Summary Graphs of RDF Data in Semantic Web. 1. 686–691. 5 indexed citations
18.
Aydar, Mehmet, Serkan Ayvaz, & Austin Melton. (2015). Automatic Weight Generation and Class Predicate Stability in RDF Summary Graphs.. 4 indexed citations

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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