Emre Sefer

702 total citations
35 papers, 307 citations indexed

About

Emre Sefer is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Computational Theory and Mathematics. According to data from OpenAlex, Emre Sefer has authored 35 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Statistical and Nonlinear Physics and 5 papers in Computational Theory and Mathematics. Recurrent topics in Emre Sefer's work include Complex Network Analysis Techniques (7 papers), Genomics and Chromatin Dynamics (7 papers) and Gene Regulatory Network Analysis (6 papers). Emre Sefer is often cited by papers focused on Complex Network Analysis Techniques (7 papers), Genomics and Chromatin Dynamics (7 papers) and Gene Regulatory Network Analysis (6 papers). Emre Sefer collaborates with scholars based in Türkiye, United States and Israel. Emre Sefer's co-authors include Carl Kingsford, Ziv Bar‐Joseph, Michael Kleyman, Geet Duggal, Darya Filippova, Robert Gove, Cody Dunne, Ben Shneiderman, Meirav Taieb‐Maimon and Rob Patro and has published in prestigious journals such as IEEE Access, Energy and Buildings and BMC Bioinformatics.

In The Last Decade

Emre Sefer

29 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emre Sefer Türkiye	12	122	50	43	34	32	35	307
Malay Bhattacharyya India	13	262 2.1×	20 0.4×	42 1.0×	14 0.4×	85 2.7×	58	465
Grzegorz Kubicki United States	9	49 0.4×	14 0.3×	22 0.5×	19 0.6×	47 1.5×	27	225
Peter Olofsson United States	10	111 0.9×	16 0.3×	12 0.3×	7 0.2×	26 0.8×	31	344
Ian X. Y. Leung United Kingdom	5	109 0.9×	193 3.9×	4 0.1×	29 0.9×	77 2.4×	6	331
Roy Varshavsky Israel	4	188 1.5×	8 0.2×	8 0.2×	37 1.1×	53 1.7×	4	309
Keegan Hines United States	8	132 1.1×	16 0.3×	11 0.3×	9 0.3×	100 3.1×	12	336
Hu Ding United States	9	85 0.7×	10 0.2×	23 0.5×	37 1.1×	121 3.8×	35	297
Beatriz Pontes Spain	8	187 1.5×	15 0.3×	11 0.3×	27 0.8×	138 4.3×	14	330
Xingqin Qi China	10	101 0.8×	217 4.3×	6 0.1×	21 0.6×	87 2.7×	31	409
Evgenii Vityaev Russia	9	77 0.6×	7 0.1×	17 0.4×	14 0.4×	124 3.9×	49	288

Countries citing papers authored by Emre Sefer

Since Specialization

Citations

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

Fields of papers citing papers by Emre Sefer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emre Sefer

This figure shows the co-authorship network connecting the top 25 collaborators of Emre Sefer. A scholar is included among the top collaborators of Emre Sefer 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 Emre Sefer. Emre Sefer 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

Sefer, Emre, et al.. (2025). PageRank-Based Unsupervised Deep Vertex Representations for Anti-Money Laundering Detection. IEEE Access. 13. 196935–196950.

Cetin, S. A. & Emre Sefer. (2025). A Graphlet-based Explanation Generator for Graph Neural Networks Over Biological Datasets. Current Bioinformatics. 20(9). 840–851. 5 indexed citations

Sefer, Emre, et al.. (2025). Hypergraph Neural Networks to Predict Stock Movements By Exploring Higher-order Relationships. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 700–708.

Sefer, Emre, et al.. (2025). Financial Statement Fraud Detection with a Categorical-to-Numerical Data Representation. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 62–70.

Sefer, Emre, et al.. (2025). Financial Statement Fraud Detection via Large Language Models. Intelligent systems in accounting, finance and management. 32(4).

Sefer, Emre, et al.. (2025). FinSentiment: Predicting Financial Sentiment Through Transfer Learning. Intelligent systems in accounting, finance and management. 32(3). 3 indexed citations

Cetin, S. A. & Emre Sefer. (2025). The significance of chromosome conformation capture in 3D genome architecture comprehension. Computational Biology and Chemistry. 119. 108534–108534.

Sefer, Emre, et al.. (2025). Financial asset price prediction with graph neural network-based temporal deep learning models. Neural Computing and Applications. 37(30). 25445–25471. 1 indexed citations

Aydoğan, Reyhan, et al.. (2025). Synthetic data generation and energy consumption prediction in district building energy modeling. Energy and Buildings. 351. 116716–116716. 1 indexed citations

10.

Pala, Mustafa & Emre Sefer. (2024). NFT price and sales characteristics prediction by transfer learning of visual attributes. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 10. 100148–100148. 4 indexed citations

11.

Sefer, Emre. (2024). DRGAT: Predicting Drug Responses Via Diffusion-Based Graph Attention Network. Journal of Computational Biology. 32(3). 330–350. 6 indexed citations

12.

Sefer, Emre, et al.. (2024). DeepPTM: Protein Post-translational Modification Prediction from Protein Sequences by Combining Deep Protein Language Model with Vision Transformers. Current Bioinformatics. 19(9). 810–824. 13 indexed citations

13.

Sefer, Emre, et al.. (2024). Reference-free inferring of transcriptomic events in cancer cells on single-cell data. BMC Cancer. 24(1). 607–607. 9 indexed citations

14.

Sefer, Emre, et al.. (2023). NFT Primary Sale Price and Secondary Sale Prediction via Deep Learning. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 116–123. 8 indexed citations

15.

Sefer, Emre. (2022). ProbC: joint modeling of epigenome and transcriptome effects in 3D genome. BMC Genomics. 23(1). 287–287. 11 indexed citations

16.

Sefer, Emre. (2021). Hi–C interaction graph analysis reveals the impact of histone modifications in chromatin shape. Applied Network Science. 6(1). 12 indexed citations

17.

Sefer, Emre & Carl Kingsford. (2020). Metric Labeling and Semimetric Embedding for Protein Annotation Prediction. Journal of Computational Biology. 28(5). 514–525. 7 indexed citations

18.

Sefer, Emre, Michael Kleyman, & Ziv Bar‐Joseph. (2016). Tradeoffs between Dense and Replicate Sampling Strategies for High-Throughput Time Series Experiments. Cell Systems. 3(1). 35–42. 20 indexed citations

19.

Sefer, Emre & Carl Kingsford. (2015). Diffusion archeology for diffusion progression history reconstruction. Knowledge and Information Systems. 49(2). 403–427. 10 indexed citations

20.

Duggal, Geet, et al.. (2012). The missing models. 42–50. 7 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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