Serkan Ayvaz

1.4k total citations · 1 hit paper
33 papers, 901 citations indexed

About

Serkan Ayvaz is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Serkan Ayvaz has authored 33 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Information Systems and 6 papers in Management Science and Operations Research. Recurrent topics in Serkan Ayvaz's work include Semantic Web and Ontologies (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Computational Drug Discovery Methods (4 papers). Serkan Ayvaz is often cited by papers focused on Semantic Web and Ontologies (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Computational Drug Discovery Methods (4 papers). Serkan Ayvaz collaborates with scholars based in Türkiye, United States and Denmark. Serkan Ayvaz's co-authors include Michel Dumontier, Mehmet Aydar, Bassam Estfan, Declan Walsh, Aynur Aktaş, Shiva Shrotriya, Cliona Lorton, Majid Rastegar-Mojarad, Richard D. Boyce and Mathias Brochhausen and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Journal of the American Medical Informatics Association.

In The Last Decade

Serkan Ayvaz

30 papers receiving 856 citations

Hit Papers

align trajectories

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.

Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time

2021 312 citations Serkan Ayvaz et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Serkan Ayvaz Türkiye	12	298	162	138	127	120	33	901
Mihaela Ulieru Canada	17	224 0.8×	135 0.8×	96 0.7×	119 0.9×	174 1.4×	84	864
Bor‐Wen Cheng Taiwan	17	178 0.6×	138 0.9×	44 0.3×	55 0.4×	23 0.2×	58	847
Weizi Li United Kingdom	18	129 0.4×	66 0.4×	74 0.5×	50 0.4×	41 0.3×	59	943
R.J. Paul United Kingdom	19	139 0.5×	117 0.7×	89 0.6×	208 1.6×	45 0.4×	54	1.2k
Richard G. Mathieu United States	14	82 0.3×	91 0.6×	32 0.2×	147 1.2×	85 0.7×	40	658
William S. Lovejoy United States	22	337 1.1×	185 1.1×	39 0.3×	32 0.3×	132 1.1×	50	2.1k
Martijn C. Schut Netherlands	16	290 1.0×	49 0.3×	73 0.5×	30 0.2×	38 0.3×	73	742
Guannan Liu China	19	534 1.8×	15 0.1×	82 0.6×	257 2.0×	111 0.9×	67	1.4k
Wojtek Michalowski Canada	21	469 1.6×	57 0.4×	65 0.5×	102 0.8×	77 0.6×	114	1.4k
Il‐Chul Moon South Korea	15	346 1.2×	32 0.2×	111 0.8×	196 1.5×	72 0.6×	90	860

Countries citing papers authored by Serkan Ayvaz

Since Specialization

Citations

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

Fields of papers citing papers by Serkan Ayvaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serkan Ayvaz

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

All Works

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20 of 20 papers shown

Ayvaz, Serkan, et al.. (2025). Beyond Major Floods: Deep Learning for Detecting Shallow Water Inundation in Agricultural Areas. Procedia Computer Science. 270. 301–310.

Ayvaz, Serkan, et al.. (2025). A Big Data Analytics System for Predicting Suicidal Ideation in Real-Time Based on Social Media Streaming Data. University of Southern Denmark Research Portal (University of Southern Denmark). 132–143.

Ayvaz, Serkan, et al.. (2024). Enhancing Retrieval-Augmented Generation Accuracy with Dynamic Chunking and Optimized Vector Search. University of Southern Denmark Research Portal (University of Southern Denmark). 5(1). 215–225. 1 indexed citations

Ayvaz, Serkan, et al.. (2023). A Blockchain-Based Secure Mutual Authentication System for E-Government Services. 19–24. 3 indexed citations

Ayvaz, Serkan, et al.. (2022). An experimental and comparative benchmark study examining resource utilization in managed Hadoop context. Cluster Computing. 26(3). 1891–1915. 1 indexed citations

Ayvaz, Serkan, et al.. (2022). Linguistic-based Data Augmentation Approach for Offensive Language Detection. 1–6. 1 indexed citations

Ayvaz, Serkan, et al.. (2021). Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time. Expert Systems with Applications. 173. 114598–114598. 312 indexed citations breakdown →

Ayvaz, Serkan, et al.. (2021). A Review of Spam Detection in Social Media. 383–388. 11 indexed citations

Ayvaz, Serkan, et al.. (2020). Forecasting Electricity Consumption Using Deep Learning Methods with Hyperparameter Tuning. 1–4. 2 indexed citations

10.

Ayvaz, Serkan, et al.. (2020). Prediction of Drug–Drug Interactions by Using Profile Fingerprint Vectors and Protein Similarities. Healthcare Informatics Research. 26(1). 42–42. 14 indexed citations

11.

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

12.

Ayvaz, Serkan, et al.. (2019). A Negative Similarity Based Hybrid Recommender System Using Apache Spark. University of Southern Denmark Research Portal (University of Southern Denmark). 166–172. 2 indexed citations

13.

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

14.

Shrotriya, Shiva, et al.. (2018). Clinical significance of weight changes at diagnosis in solid tumours. Supportive Care in Cancer. 27(7). 2725–2733. 11 indexed citations

15.

Shrotriya, Shiva, Declan Walsh, Amy S. Nowacki, et al.. (2018). Serum C-reactive protein is an important and powerful prognostic biomarker in most adult solid tumors. PLoS ONE. 13(8). e0202555–e0202555. 66 indexed citations

16.

Ayvaz, Serkan, et al.. (2018). A Scalable Streaming Big Data Architecture for Real-Time Sentiment Analysis. 47–51. 7 indexed citations

17.

Ayvaz, Serkan, et al.. (2017). The Effects of Emoji in Sentiment Analysis. International Journal of Computer and Electrical Engineering. 9(1). 360–369. 73 indexed citations

18.

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

19.

Ayvaz, Serkan, et al.. (2017). Sentiment analysis on Twitter: A text mining approach to the Syrian refugee crisis. Telematics and Informatics. 35(1). 136–147. 194 indexed citations

20.

Ayvaz, Serkan, John R. Horn, Oktie Hassanzadeh, et al.. (2015). Toward a complete dataset of drug–drug interaction information from publicly available sources. Journal of Biomedical Informatics. 55. 206–217. 87 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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