Esra Akbaş

591 total citations
33 papers, 333 citations indexed

About

Esra Akbaş is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Esra Akbaş has authored 33 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Statistical and Nonlinear Physics and 8 papers in Molecular Biology. Recurrent topics in Esra Akbaş's work include Advanced Graph Neural Networks (13 papers), Complex Network Analysis Techniques (9 papers) and Computational Drug Discovery Methods (5 papers). Esra Akbaş is often cited by papers focused on Advanced Graph Neural Networks (13 papers), Complex Network Analysis Techniques (9 papers) and Computational Drug Discovery Methods (5 papers). Esra Akbaş collaborates with scholars based in United States and Nepal. Esra Akbaş's co-authors include Peixiang Zhao, Ümit Karabiyik, Ahmet Aksoy, Ramazan Aygün, M. Abdullah Canbaz, Fatih Demiroz, Vince D. Calhoun, Jiayu Chen, Ram P. Sapkota and Ginger C. Johnson and has published in prestigious journals such as Medical Image Analysis, Proceedings of the VLDB Endowment and ACM Transactions on Mathematical Software.

In The Last Decade

Esra Akbaş

29 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Esra Akbaş United States 9 138 137 78 68 60 33 333
Anahí Gajardo Chile 6 110 0.8× 148 1.1× 46 0.6× 84 1.2× 85 1.4× 14 350
Mansurul Bhuiyan United States 10 116 0.8× 124 0.9× 62 0.8× 100 1.5× 41 0.7× 17 325
Christos Giatsidis France 8 239 1.7× 159 1.2× 108 1.4× 59 0.9× 54 0.9× 11 363
Liutong Xu China 7 130 0.9× 118 0.9× 63 0.8× 81 1.2× 24 0.4× 30 263
Christine Largeron France 10 81 0.6× 140 1.0× 37 0.5× 60 0.9× 25 0.4× 33 294
Tarek F. Gharib Egypt 10 47 0.3× 208 1.5× 33 0.4× 185 2.7× 60 1.0× 66 407
Tara Safavi United States 8 89 0.6× 226 1.6× 53 0.7× 49 0.7× 16 0.3× 20 318
Sandro Cavallari Singapore 6 199 1.4× 387 2.8× 48 0.6× 63 0.9× 13 0.2× 8 500
Joyce Jiyoung Whang South Korea 10 386 2.8× 314 2.3× 128 1.6× 79 1.2× 22 0.4× 29 578

Countries citing papers authored by Esra Akbaş

Since Specialization
Citations

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

Fields of papers citing papers by Esra Akbaş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Esra Akbaş

This figure shows the co-authorship network connecting the top 25 collaborators of Esra Akbaş. A scholar is included among the top collaborators of Esra Akbaş 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 Esra Akbaş. Esra Akbaş 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.
2.
Miller, Robyn L., Jiayu Chen, Yu‐Ping Wang, et al.. (2025). DSAM: A deep learning framework for analyzing temporal and spatial dynamics in brain networks. Medical Image Analysis. 101. 103462–103462. 6 indexed citations
3.
Shalin, Valerie L., et al.. (2025). Telegram as a Battlefield: Kremlin-Related Communications During the Russia-Ukraine Conflict. Proceedings of the International AAAI Conference on Web and Social Media. 19. 2361–2370. 2 indexed citations
4.
Akbaş, Esra, et al.. (2024). DDI Prediction With Heterogeneous Information Network - Meta-Path Based Approach. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(5). 1168–1179. 2 indexed citations
5.
Akbaş, Esra, et al.. (2024). Brain networks and intelligence: A graph neural network based approach to resting state fMRI data. Medical Image Analysis. 101. 103433–103433. 11 indexed citations
6.
7.
Hossain, Tanvir, et al.. (2024). HeTAN: Heterogeneous Graph Triplet Attention Network for Drug Repurposing. 1–10. 1 indexed citations
8.
Hossain, Tanvir, et al.. (2024). Exploring Similarity-Based Graph Compression for Efficient Network Analysis and Embedding. 20. 1–6. 1 indexed citations
9.
Akbaş, Esra, et al.. (2023). Predicting Drug-drug Interactions Using Heterogeneous Graph Attention Networks. 1–6. 4 indexed citations
10.
Akbaş, Esra, et al.. (2023). Seq-HyGAN: Sequence Classification via Hypergraph Attention Network. 2167–2177. 9 indexed citations
11.
Demiroz, Fatih & Esra Akbaş. (2022). The Impact of Social Media on Disaster Volunteerism: Evidence from Hurricane Harvey. Journal of Homeland Security and Emergency Management. 19(2). 205–243. 5 indexed citations
12.
Hossain, Tanvir, et al.. (2022). EnD: Enhanced Dedensification for Graph Compressing and Embedding. 674–681. 1 indexed citations
13.
Johnson, Ginger C., et al.. (2021). Proximity-Based Compression for Network Embedding. Frontiers in Big Data. 3. 608043–608043. 6 indexed citations
14.
Peng, Mingming, et al.. (2021). DECADE - Deep Learning Based Content-hiding Application Detection System for Android. 2021 IEEE International Conference on Big Data (Big Data).
15.
Akbaş, Esra, et al.. (2021). Influential nodes detection in complex networks via diffusion Fréchet function. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). 7. 1688–1695. 3 indexed citations
16.
Nguyen, Thu D., et al.. (2021). Homology Preserving Graph Compression. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). 1 indexed citations
17.
Akbaş, Esra, et al.. (2019). Text Classification via Network Topology: A Case Study on the Holy Quran. 1557–1562. 3 indexed citations
18.
Akbaş, Esra & Peixiang Zhao. (2017). Truss-based community search. Proceedings of the VLDB Endowment. 10(11). 1298–1309. 125 indexed citations
19.
Akbaş, Esra & Peixiang Zhao. (2017). Attributed Graph Clustering. 305–308. 16 indexed citations
20.
Yıldırım, Necmettin, et al.. (2016). Differential transcriptional regulation by alternatively designed mechanisms: A mathematical modeling approach. In Silico Biology. 12(3-4). 95–127. 1 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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