M. Abdullah Canbaz

490 total citations
18 papers, 300 citations indexed

About

M. Abdullah Canbaz is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, M. Abdullah Canbaz has authored 18 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in M. Abdullah Canbaz's work include Network Traffic and Congestion Control (5 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Topic Modeling (2 papers). M. Abdullah Canbaz is often cited by papers focused on Network Traffic and Congestion Control (5 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Topic Modeling (2 papers). M. Abdullah Canbaz collaborates with scholars based in United States, Bosnia and Herzegovina and Saudi Arabia. M. Abdullah Canbaz's co-authors include Abdülhamit Subaşı, Jasmin Kevrić, Ümit Karabiyik, Ahmet Aksoy, Mehmet Hadi Güneş, Ramazan Aygün, Esra Akbaş, Murat Yüksel, Martin McKee and Enobong Hanson and has published in prestigious journals such as Small, Neural Computing and Applications and Social Network Analysis and Mining.

In The Last Decade

M. Abdullah Canbaz

16 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Abdullah Canbaz United States 6 189 111 57 50 36 18 300
Nasir Hussain Saudi Arabia 7 255 1.3× 97 0.9× 78 1.4× 61 1.2× 74 2.1× 18 438
Muhammad Haseeb Aslam Pakistan 10 183 1.0× 99 0.9× 88 1.5× 35 0.7× 54 1.5× 25 417
Rasmus Elsborg Madsen Denmark 8 153 0.8× 71 0.6× 167 2.9× 41 0.8× 53 1.5× 16 394
Md. Nurul Ahad Tawhid Australia 8 207 1.1× 30 0.3× 29 0.5× 51 1.0× 18 0.5× 17 312
Conggai Li Australia 6 242 1.3× 129 1.2× 58 1.0× 68 1.4× 43 1.2× 9 326
Xueping Peng China 13 115 0.6× 24 0.2× 229 4.0× 43 0.9× 28 0.8× 58 491
Loukas Ilias Greece 10 51 0.3× 55 0.5× 166 2.9× 9 0.2× 27 0.8× 24 362
Serhat Özekes Türkiye 10 119 0.6× 24 0.2× 156 2.7× 23 0.5× 12 0.3× 26 503
Shriram Raghunathan India 11 133 0.7× 46 0.4× 50 0.9× 14 0.3× 8 0.2× 46 364
Waqar Hussain China 8 171 0.9× 49 0.4× 34 0.6× 57 1.1× 13 0.4× 9 293

Countries citing papers authored by M. Abdullah Canbaz

Since Specialization
Citations

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

Fields of papers citing papers by M. Abdullah Canbaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Abdullah Canbaz. 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 M. Abdullah Canbaz. The network helps show where M. Abdullah Canbaz may publish in the future.

Co-authorship network of co-authors of M. Abdullah Canbaz

This figure shows the co-authorship network connecting the top 25 collaborators of M. Abdullah Canbaz. A scholar is included among the top collaborators of M. Abdullah Canbaz 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 M. Abdullah Canbaz. M. Abdullah Canbaz 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
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Canbaz, M. Abdullah, et al.. (2024). IoT Privacy and Security in Teaching Institutions: Inside The Classroom and Beyond. 2021 ASEE Virtual Annual Conference Content Access Proceedings. 1 indexed citations
6.
Canbaz, M. Abdullah, et al.. (2024). AI-Powered Crisis Response: Streamlining Emergency Management with LLMs. 104–107. 6 indexed citations
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Canbaz, M. Abdullah, et al.. (2024). Mapping artificial intelligence bias: a network-based framework for analysis and mitigation. AI and Ethics. 5(3). 1995–2014. 3 indexed citations
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Zavar, Elyse, et al.. (2024). Harnessing Deep Learning and Satellite Imagery for Post-Buyout Land Cover Mapping. 665–671. 1 indexed citations
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Canbaz, M. Abdullah, et al.. (2024). Semantic interlinking of Immigration Data using LLMs for Knowledge Graph Construction. 605–608. 5 indexed citations
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Canbaz, M. Abdullah, et al.. (2023). Exploring Large Language Models’ Emotion Detection Abilities: Use Cases From the Middle East. 241–244. 5 indexed citations
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Canbaz, M. Abdullah, et al.. (2019). Investigating Characteristics of Internet Paths. 4(3). 1–24. 6 indexed citations
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Canbaz, M. Abdullah, et al.. (2018). On Correlating ISP Topologies to Their Businesses. Journal of International Crisis and Risk Communication Research. 2. 1–7. 5 indexed citations
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Subaşı, Abdülhamit, Jasmin Kevrić, & M. Abdullah Canbaz. (2017). Epileptic seizure detection using hybrid machine learning methods. Neural Computing and Applications. 31(1). 317–325. 208 indexed citations
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Canbaz, M. Abdullah, et al.. (2017). Comparative analysis of internet topology data sets. 635–640. 5 indexed citations
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Canbaz, M. Abdullah, et al.. (2017). Analysis of path stability within autonomous systems. 4 indexed citations
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Canbaz, M. Abdullah, et al.. (2016). Efficient as Network Topology Measurement Based on Ingress to Subnet Reachability. 53. 87–95. 1 indexed citations
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Akbaş, Esra, et al.. (2016). User characterization for online social networks. Social Network Analysis and Mining. 6(1). 37 indexed citations
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Karabiyik, Ümit, et al.. (2016). A Survey of Social Network Forensics. ˜The œjournal of digital forensics, security and law. 9 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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2026