Selim Akyokuş

643 total citations
24 papers, 442 citations indexed

About

Selim Akyokuş is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Selim Akyokuş has authored 24 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Information Systems and 3 papers in Management Science and Operations Research. Recurrent topics in Selim Akyokuş's work include Text and Document Classification Technologies (10 papers), Topic Modeling (7 papers) and Advanced Text Analysis Techniques (7 papers). Selim Akyokuş is often cited by papers focused on Text and Document Classification Technologies (10 papers), Topic Modeling (7 papers) and Advanced Text Analysis Techniques (7 papers). Selim Akyokuş collaborates with scholars based in Türkiye, Bangladesh and Moldova. Selim Akyokuş's co-authors include Zeynep Hilal Kilimci, Mitat Uysal, Murat Can Ganiz, Dilek Bilgin Tükel, Sevinç İlhan Omurca, Sajjad Waheed, Ahmet Sertbaş, Abdül Halim Zaim and Halil Zaim and has published in prestigious journals such as IEEE Access, Information Processing & Management and Complexity.

In The Last Decade

Selim Akyokuş

23 papers receiving 406 citations

Peers

Selim Akyokuş

MSOR

CVPR

MIS

Sahin Cem Geyik United States

Athanasios Tsadiras Greece

Tariq Mahmood Pakistan

Shuning Wu China

Antonia Azzini Italy

Devis Bianchini Italy

Suyeon Kim South Korea

Pekka Pääkkönen Finland

Lisa Ehrlinger Austria

Sahin Cem Geyik United States

Selim Akyokuş

173 ×0.8

125 ×1.2

61 ×0.7

MSOR

49 ×0.9

CVPR

14 ×0.3

MIS

Citations per year, relative to Selim Akyokuş Selim Akyokuş (= 1×) peers Sahin Cem Geyik

Countries citing papers authored by Selim Akyokuş

Since Specialization

Citations

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

Fields of papers citing papers by Selim Akyokuş

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Selim Akyokuş

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

Akyokuş, Selim, et al.. (2020). Modeling Traders’ Behavior with Deep Learning and Machine Learning Methods: Evidence from BIST 100 Index. Complexity. 2020. 1–16. 12 indexed citations

Kilimci, Zeynep Hilal, et al.. (2020). A Hybrid Deep Model Using Deep Learning and Dense Optical Flow Approaches for Human Activity Recognition. IEEE Access. 8. 19799–19809. 38 indexed citations

Kilimci, Zeynep Hilal, et al.. (2020). Sentiment Analysis Based Churn Prediction in Mobile Games using Word Embedding Models and Deep Learning Algorithms. Kocaeli Üniversitesi - AVESİS. 1–7. 12 indexed citations

Kilimci, Zeynep Hilal, et al.. (2019). Mood Detection from Physical and Neurophysical Data Using Deep Learning Models. Complexity. 2019(1). 4 indexed citations

Kilimci, Zeynep Hilal, et al.. (2019). An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain. Complexity. 2019(1). 122 indexed citations

Kilimci, Zeynep Hilal & Selim Akyokuş. (2019). The Evaluation of Word Embedding Models and Deep Learning Algorithms for Turkish Text Classification. Kocaeli Üniversitesi - AVESİS. 548–553. 12 indexed citations

Kilimci, Zeynep Hilal & Selim Akyokuş. (2019). The Analysis of Text Categorization Represented With Word Embeddings Using Homogeneous Classifiers. Kocaeli Üniversitesi - AVESİS. 2. 1–6. 7 indexed citations

Kilimci, Zeynep Hilal & Selim Akyokuş. (2018). Deep Learning‐ and Word Embedding‐Based Heterogeneous Classifier Ensembles for Text Classification. Complexity. 2018(1). 62 indexed citations

Akyokuş, Selim, et al.. (2017). Predicting financial market in big data: Deep learning. Dogus University Institutional Repository (Dogus University). 510–515. 11 indexed citations

10.

Kilimci, Zeynep Hilal, Selim Akyokuş, & Sevinç İlhan Omurca. (2017). The evaluation of heterogeneous classifier ensembles for Turkish texts. Kocaeli Üniversitesi - AVESİS. 6 indexed citations

11.

Ganiz, Murat Can, et al.. (2016). Helmholtz principle based supervised and unsupervised feature selection methods for text mining. Information Processing & Management. 52(5). 885–910. 27 indexed citations

12.

Kilimci, Zeynep Hilal, Selim Akyokuş, & Sevinç İlhan Omurca. (2016). The effectiveness of homogenous ensemble classifiers for Turkish and English texts. Kocaeli Üniversitesi - AVESİS. 1–7. 13 indexed citations

13.

Kilimci, Zeynep Hilal & Selim Akyokuş. (2016). N-gram pattern recognition using multivariate-Bernoulli model with smoothing methods for text classification. 597–600. 8 indexed citations

14.

Akyokuş, Selim, et al.. (2013). Document clustering using GIS visualizing and EM clustering method. Dogus University Institutional Repository (Dogus University). 10. 1–4. 3 indexed citations

15.

Akyokuş, Selim, et al.. (2013). An application of community discovery in academical social networks. Çanakkale Onsekiz Mart University AVESIS. 1–5.

16.

Ganiz, Murat Can, et al.. (2012). Exploiting Turkish Wikipedia as a semantic resource for text classification. Kocaeli Üniversitesi - AVESİS. 1–5. 6 indexed citations

17.

Akyokuş, Selim, et al.. (2011). Intelligent focused crawler: Learning which links to crawl. Dogus University Institutional Repository (Dogus University). 504–508. 18 indexed citations

18.

Akyokuş, Selim, et al.. (2010). A Comparison of Feature and Semantic-Based Summarization Algorithms for Turkish. Dogus University Institutional Repository (Dogus University). 3 indexed citations

19.

Akyokuş, Selim, et al.. (2009). An efficient algorithm for 3D rectangular box packing. Dogus University Institutional Repository (Dogus University). 10 indexed citations

20.

Akyokuş, Selim, et al.. (2009). TURKISH TEXT CATEGORIZATION USING N-GRAM WORD. 0–0. 10 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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