Recep Eryiğit

641 total citations · 1 hit paper
25 papers, 419 citations indexed

About

Recep Eryiğit is a scholar working on Plant Science, Artificial Intelligence and Analytical Chemistry. According to data from OpenAlex, Recep Eryiğit has authored 25 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 6 papers in Artificial Intelligence and 5 papers in Analytical Chemistry. Recurrent topics in Recep Eryiğit's work include Smart Agriculture and AI (10 papers), Spectroscopy and Chemometric Analyses (5 papers) and Leaf Properties and Growth Measurement (5 papers). Recep Eryiğit is often cited by papers focused on Smart Agriculture and AI (10 papers), Spectroscopy and Chemometric Analyses (5 papers) and Leaf Properties and Growth Measurement (5 papers). Recep Eryiğit collaborates with scholars based in Türkiye, Canada and Chad. Recep Eryiğit's co-authors include Elhoucine Elfatimi, Bülent Tuğrul, Engin Kendi, Hakan Göker, Nurten Altanlar, Meral Tunçbilek, Harisu Abdullahi Shehu, Rahmiye Ertan, Resul Eryiğit and Ömer Aslan and has published in prestigious journals such as IEEE Access, Physics Letters A and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Recep Eryiğit

22 papers receiving 391 citations

Hit Papers

Beans Leaf Diseases Classification Using MobileNet Models 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Beans Leaf Diseases Classification Using MobileNet Models
    2022 134 citations Elhoucine Elfatimi, Recep Eryiğit et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Recep Eryiğit Türkiye 9 253 90 54 41 34 25 419
Rory T. Steven United Kingdom 17 139 0.5× 109 1.2× 26 0.5× 10 0.2× 44 1.3× 32 847
Rupinder Kaur India 9 52 0.2× 18 0.2× 26 0.5× 41 1.0× 9 0.3× 49 253
P. R. Patnaik India 15 63 0.2× 29 0.3× 41 0.8× 18 0.4× 5 0.1× 72 642
Piotr Borowik Poland 10 62 0.2× 24 0.3× 40 0.7× 3 0.1× 11 0.3× 60 379
Xuchao Guo China 14 76 0.3× 16 0.2× 178 3.3× 4 0.1× 17 0.5× 37 452
Yashwant Kurmi India 12 147 0.6× 72 0.8× 73 1.4× 1 0.0× 24 0.7× 30 338
André van Tonder South Africa 7 88 0.3× 10 0.1× 91 1.7× 6 0.1× 3 0.1× 19 404
Xiaoyan Cheng China 10 30 0.1× 82 0.9× 16 0.3× 117 2.9× 6 0.2× 27 453
Jan Brinkhuis Netherlands 12 63 0.2× 5 0.1× 46 0.9× 37 0.9× 5 0.1× 36 502
Mosiur Rahaman Taiwan 8 119 0.5× 40 0.4× 22 0.4× 1 0.0× 6 0.2× 27 344

Countries citing papers authored by Recep Eryiğit

Since Specialization
Citations

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

Fields of papers citing papers by Recep Eryiğit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Recep Eryiğit

This figure shows the co-authorship network connecting the top 25 collaborators of Recep Eryiğit. A scholar is included among the top collaborators of Recep Eryiğit 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 Recep Eryiğit. Recep Eryiğit 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.
Eryiğit, Recep, et al.. (2024). Yeni Adli Bilişim İnceleme Süreci (YABİS). Fırat Üniversitesi Mühendislik Bilimleri Dergisi. 36(2). 717–724.
3.
Tuğrul, Bülent, et al.. (2023). Deep Learning‐Based Classification of Image Data Sets Containing 111 Different Seeds. Advanced Theory and Simulations. 6(11). 3 indexed citations
4.
Eryiğit, Recep, et al.. (2023). Classification of Guava Leaf Disease using Deep Learning. 20. 356–363. 9 indexed citations
5.
Elfatimi, Elhoucine, Recep Eryiğit, & Harisu Abdullahi Shehu. (2023). Impact of datasets on the effectiveness of MobileNet for beans leaf disease detection. Neural Computing and Applications. 36(4). 1773–1789. 21 indexed citations
6.
Eryiğit, Recep, et al.. (2023). Classification of Trifolium Seeds by Computer Vision Methods. 22. 313–320. 3 indexed citations
7.
Elfatimi, Elhoucine, et al.. (2023). Deep multi-scale convolutional neural networks for automated classification of multi-class leaf diseases in tomatoes. Neural Computing and Applications. 36(2). 803–822. 11 indexed citations
8.
Tuğrul, Bülent, Elhoucine Elfatimi, & Recep Eryiğit. (2022). Convolutional Neural Networks in Detection of Plant Leaf Diseases: A Review. Agriculture. 12(8). 1192–1192. 99 indexed citations
9.
Elfatimi, Elhoucine, et al.. (2022). Beans Leaf Diseases Classification Using MobileNet Models. IEEE Access. 10. 9471–9482. 134 indexed citations breakdown →
10.
Ozkan-Okay, Merve, Ömer Aslan, Recep Eryiğit, & Refik Samet. (2021). SABADT: Hybrid Intrusion Detection Approach for Cyber Attacks Identification in WLAN. IEEE Access. 9. 157639–157653. 16 indexed citations
11.
Eryiğit, Recep, et al.. (2020). Time dependent correlations between the probability of a node being infected and its centrality measures. Physica A Statistical Mechanics and its Applications. 563. 125483–125483. 5 indexed citations
12.
Eryiğit, Recep, et al.. (2017). EFFECTS OF CONFIDENCE AND SOCIAL PRESSURE ON DECISION MAKING PROCESSES.. International Journal of Advanced Research. 5(3). 829–836. 1 indexed citations
13.
Eryiğit, Recep, et al.. (2017). Role of new ideas in the mobile phone market share. Advances in Complex Systems. 9(2). 1850018–1850018. 3 indexed citations
14.
Eryiğit, Recep, et al.. (2015). The role of persuasion power on the consensus formation. Physica A Statistical Mechanics and its Applications. 426. 16–24. 3 indexed citations
15.
Eryiğit, Recep, et al.. (2014). Time exponents of asymptotic entanglement of discrete quantum walk in one dimension. International Journal of Quantum Information. 12(6). 1450036–1450036. 4 indexed citations
16.
Eryiğit, Recep, et al.. (2011). Intercalation of graphite and hexagonal boron nitride by lithium. The European Physical Journal B. 79(3). 301–312. 22 indexed citations
17.
Eryiğit, Recep, et al.. (2006). Analytical study of thermal entanglement in a two-dimensional – model. Physics Letters A. 358(5-6). 363–367. 9 indexed citations
18.
Eryiğit, Recep, et al.. (2005). Magnetic entanglement in – model. Physics Letters A. 349(1-4). 37–44. 5 indexed citations
19.
Eryiğit, Recep, et al.. (2004). QUANTUM PHASE TRANSITIONS AND ENTANGLEMENT IN J1–J2 MODEL. International Journal of Modern Physics C. 15(8). 1095–1103. 6 indexed citations
20.
Tunçbilek, Meral, Hakan Göker, Rahmiye Ertan, et al.. (1997). Synthesis and Antimicrobial Activity of Some New Anilino Benzimidazoles. Archiv der Pharmazie. 330(12). 372–376. 41 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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