Fuat Akal

495 total citations
24 papers, 227 citations indexed

About

Fuat Akal is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Fuat Akal has authored 24 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 5 papers in Information Systems and Management. Recurrent topics in Fuat Akal's work include Distributed and Parallel Computing Systems (5 papers), Scientific Computing and Data Management (5 papers) and AI in cancer detection (4 papers). Fuat Akal is often cited by papers focused on Distributed and Parallel Computing Systems (5 papers), Scientific Computing and Data Management (5 papers) and AI in cancer detection (4 papers). Fuat Akal collaborates with scholars based in Türkiye, Switzerland and United States. Fuat Akal's co-authors include Can Türker, Ralph Schlapbach, Simon Barkow‐Oesterreicher, Hubert Rehrauer, Christian Panse, Hayri Sever, Yuri Breitbart, Hans‐Jörg Schek, Torsten Grabs and Ezgi Deniz Batu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of the Rheumatic Diseases and Lara D. Veeken.

In The Last Decade

Fuat Akal

21 papers receiving 216 citations

Peers

Fuat Akal
Hyunjin Kim South Korea
Robert S. Coles United States
Kevin Chang United States
Robert Schuler United States
Fuat Akal
Citations per year, relative to Fuat Akal Fuat Akal (= 1×) peers Alban Gaignard

Countries citing papers authored by Fuat Akal

Since Specialization
Citations

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

Fields of papers citing papers by Fuat Akal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuat Akal

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

All Works

20 of 20 papers shown
1.
Akal, Fuat, et al.. (2024). Automated AI-based grading of neuroendocrine tumors using Ki-67 proliferation index: comparative evaluation and performance analysis. Medical & Biological Engineering & Computing. 62(6). 1899–1909. 1 indexed citations
2.
Akal, Fuat, et al.. (2024). Attention Based Energy Demand Forecasting in Smart Grid Environments. SHILAP Revista de lepidopterología. 3(3). 227–240.
4.
Akal, Fuat, et al.. (2023). Transforming temporal-dynamic graphs into time-series data for solving event detection problems. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 31(5). 876–891. 1 indexed citations
5.
Akal, Fuat, et al.. (2023). Mitotic cell detection in histopathological images of neuroendocrine tumors using improved YOLOv5 by transformer mechanism. Signal Image and Video Processing. 17(8). 4107–4114. 9 indexed citations
6.
Akal, Fuat, et al.. (2023). Detection of spermatogonial stem/progenitor cells in prepubertal mouse testis with deep learning. Journal of Assisted Reproduction and Genetics. 40(5). 1187–1195. 1 indexed citations
7.
Akal, Fuat, Ezgi Deniz Batu, Hafize Emine Sönmez, et al.. (2022). Diagnosing growing pains in children by using machine learning: a cross-sectional multicenter study. Medical & Biological Engineering & Computing. 60(12). 3601–3614. 6 indexed citations
9.
Akal, Fuat, et al.. (2021). A Machine Learning Approach to Detection of Trade-Based Manipulations in Borsa Istanbul. Computational Economics. 60(1). 25–45. 14 indexed citations
10.
Akal, Fuat, et al.. (2020). Covid-19 Classification Using Deep Learning in Chest X-Ray Images. 1–4. 39 indexed citations
11.
Akal, Fuat, et al.. (2020). BULUT BİLİŞİM VE GENOMİK VERİLERİN GİZLİLİĞİ. DergiPark (Istanbul University). 6(2). 72–88. 1 indexed citations
12.
Sağ, Erdal, Fuat Akal, Erdal Atalay, et al.. (2020). Anti-IL1 treatment in colchicine-resistant paediatric FMF patients: real life data from the HELIOS registry. Lara D. Veeken. 59(11). 3324–3329. 26 indexed citations
13.
Sağ, Erdal, Fuat Akal, Erdal Atalay, et al.. (2020). OP0288 ANTI-IL1 TREATMENT IN COLCHICINE RESISTANT PEDIATRIC FMF PATIENTS-REAL LIFE DATA FROM THE HELIOS REGISTRY. Annals of the Rheumatic Diseases. 79. 179–180. 1 indexed citations
14.
Demir, Selcan, Ezgi Deniz Batu, Fuat Akal, et al.. (2019). AB0960 THE HELIOS (HACETTEPE UNIVERSITY ELECTRONIC RESEARCH FORMS) REGISTRY: USE OF BIOLOGIC DRUGS IN AUTOINFLAMMATORY DISEASES. Annals of the Rheumatic Diseases. 78. 1946–1947. 1 indexed citations
15.
Akal, Fuat, et al.. (2016). Detecting Design Patterns in Object-Oriented Design Models by Using a Graph Mining Approach. 115–121. 16 indexed citations
16.
Türker, Can, Fuat Akal, & Ralph Schlapbach. (2011). Life Sciences Data and Application Integration with B-Fabric. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 8(2). 49–58. 8 indexed citations
17.
Schuldt, Heiko, et al.. (2009). Re:GRIDiT — Coordinating distributed update transactions on replicated data in the Grid. edoc (University of Basel). 120–129. 3 indexed citations
18.
Candela, Leonardo, Fuat Akal, Donatella Castelli, et al.. (2007). DILIGENT: integrating digital library and Grid technologies for a new Earth observation research infrastructure. International Journal on Digital Libraries. 7(1-2). 59–80. 14 indexed citations
19.
Akal, Fuat, Can Türker, Hans‐Jörg Schek, et al.. (2005). Fine-grained replication and scheduling with freshness and correctness guarantees. Very Large Data Bases. 565–576. 22 indexed citations
20.
Akal, Fuat, et al.. (2004). Fine-Grained Lazy Replication with Strict Freshness and Correctness Guarantees. Repository for Publications and Research Data (ETH Zurich). 457. 3 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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