Adem Tuncer

2.2k total citations · 2 hit papers
19 papers, 1.5k citations indexed

About

Adem Tuncer is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Adem Tuncer has authored 19 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Adem Tuncer's work include Robotic Path Planning Algorithms (8 papers), Robotics and Sensor-Based Localization (4 papers) and UAV Applications and Optimization (3 papers). Adem Tuncer is often cited by papers focused on Robotic Path Planning Algorithms (8 papers), Robotics and Sensor-Based Localization (4 papers) and UAV Applications and Optimization (3 papers). Adem Tuncer collaborates with scholars based in Türkiye, United States and Qatar. Adem Tuncer's co-authors include İsmail Güvenç, Mehmet Yıldırım, A. Selcuk Uluagac, Hamid Menouar, Abdullah Kadri, Kemal Akkaya, Yunus Özen, Abhaykumar Kumbhar, Arvind Merwaday and Simran Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Adem Tuncer

18 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

UAV-Enabled Intelligent Transportation Systems for the Smart City: Applications and Challenges

2017 678 citations Hamid Menouar, İsmail Güvenç et al. IEEE Communications Magazine profile →
Plant Leaf Disease Detection and Classification Based on CNN with LVQ Algorithm

2018 314 citations Adem Tuncer, Yunus Özen et al. profile →

Peers

Adem Tuncer

CVPR

CNC

EEE

Ioannis D. Moscholios Greece

Yonghua Xiong China

Pratap Tokekar United States

Grigore Stâmâtescu Romania

Huan Xu United States

Ismail Ahmedy Malaysia

Zhonghua Miao China

Zain Anwar Ali China

Fan‐Hsun Tseng Taiwan

Fazal Noor Saudi Arabia

Ioannis D. Moscholios Greece

Adem Tuncer

310 ×0.5

197 ×0.4

CVPR

1.4k ×3.7

CNC

1000 ×2.7

EEE

284 ×0.9

Citations per year, relative to Adem Tuncer Adem Tuncer (= 1×) peers Ioannis D. Moscholios

Countries citing papers authored by Adem Tuncer

Since Specialization

Citations

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

Fields of papers citing papers by Adem Tuncer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adem Tuncer

This figure shows the co-authorship network connecting the top 25 collaborators of Adem Tuncer. A scholar is included among the top collaborators of Adem Tuncer 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 Adem Tuncer. Adem Tuncer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Tuncer, Adem, et al.. (2024). Navigation of autonomous mobile robots in dynamic unknown environments based on dueling double deep q networks. Engineering Applications of Artificial Intelligence. 139. 109498–109498. 3 indexed citations

Tuncer, Adem. (2023). Path planning of autonomous mobile robots based on Voronoi diagram and ant colony optimization. DergiPark (Istanbul University). 3 indexed citations

Tuncer, Adem, et al.. (2022). Mask R-CNN kullanarak COVID-19 için Yüz Maskesi Takma Durumunun Tespiti. El-Cezeri Fen ve Mühendislik Dergisi. 1 indexed citations

Tuncer, Adem. (2021). 15-Puzzle Problem Solving with the Artificial Bee Colony Algorithm Based on Pattern Database. JUCS - Journal of Universal Computer Science. 27(6). 635–645. 3 indexed citations

Tuncer, Adem. (2021). Cost-optimized hybrid convolutional neural networks for detection of plant leaf diseases. Journal of Ambient Intelligence and Humanized Computing. 12(8). 8625–8636. 29 indexed citations

Tuncer, Adem, et al.. (2020). Genetic Algorithm Based Storage and Retrieval System Optimization Considering Operational Constraints in a Multidimensional Warehouse. International Journal of Applied Mathematics Electronics and Computers. 8(4). 148–153. 4 indexed citations

Özen, Yunus, et al.. (2020). Detection of Apple Leaf Diseases using Faster R-CNN. SHILAP Revista de lepidopterología. 8(1). 1110–1117. 20 indexed citations

Tuncer, Adem, et al.. (2020). An Online Recommendation System Using Deep Learning for Textile Products. 1–4. 10 indexed citations

Tuncer, Adem, et al.. (2020). Real-Time Obstacle Avoidance Based on Floor Detection for Mobile Robots. SHILAP Revista de lepidopterología. 24(5). 845–853. 2 indexed citations

10.

Tuncer, Adem, et al.. (2018). Plant Leaf Disease Detection and Classification Based on CNN with LVQ Algorithm. 382–385. 314 indexed citations breakdown →

11.

Menouar, Hamid, İsmail Güvenç, Kemal Akkaya, et al.. (2017). UAV-Enabled Intelligent Transportation Systems for the Smart City: Applications and Challenges. IEEE Communications Magazine. 55(3). 22–28. 678 indexed citations breakdown →

12.

Tuncer, Adem, et al.. (2017). Genetik Algoritma ile Akıllı Test Sayfası Oluşturma. SHILAP Revista de lepidopterología. 2 indexed citations

13.

Kumbhar, Abhaykumar, İsmail Güvenç, Simran Singh, & Adem Tuncer. (2017). Exploiting LTE-Advanced HetNets and FeICIC for UAV-Assisted Public Safety Communications. IEEE Access. 6. 783–796. 54 indexed citations

14.

Soyadı, Yazar Adı Yazar, et al.. (2016). A Low Cost Single Board Computer Based Mobile Robot Motion Planning System for Indoor Environments. International Journal of Intelligent Systems and Applications in Engineering. 4(4). 95–102. 5 indexed citations

15.

Tuncer, Adem & Mehmet Yıldırım. (2016). Design and implementation of a genetic algorithm IP core on an FPGA for path planning of mobile robots. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 24. 5055–5067. 10 indexed citations

16.

Merwaday, Arvind, Adem Tuncer, Abhaykumar Kumbhar, & İsmail Güvenç. (2016). Improved Throughput Coverage in Natural Disasters: Unmanned Aerial Base Stations for Public-Safety Communications. IEEE Vehicular Technology Magazine. 11(4). 53–60. 125 indexed citations

17.

Tuncer, Adem, et al.. (2012). A Motion Planning System for Mobile Robots. Advances in Electrical and Computer Engineering. 12(1). 57–62. 9 indexed citations

18.

Tuncer, Adem & Mehmet Yıldırım. (2012). Dynamic path planning of mobile robots with improved genetic algorithm. Computers & Electrical Engineering. 38(6). 1564–1572. 254 indexed citations

19.

Tuncer, Adem, et al.. (2008). KONAKLAMA İŞLETMELERİNİN YÖNETİM YAPILARININ WEB TABANLI PAZARLAMA FAALİYETLERİNE ETKİSİ ÜZERİNE BİR ARAŞTIRMA. 13. 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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