Görkem Algan

446 total citations · 1 hit paper
3 papers, 254 citations indexed

About

Görkem Algan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Görkem Algan has authored 3 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Aerospace Engineering. Recurrent topics in Görkem Algan's work include Advanced Neural Network Applications (2 papers), Machine Learning and Data Classification (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Görkem Algan is often cited by papers focused on Advanced Neural Network Applications (2 papers), Machine Learning and Data Classification (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Görkem Algan collaborates with scholars based in Türkiye. Görkem Algan's co-authors include İlkay Ulusoy and has published in prestigious journals such as IEEE Transactions on Image Processing, Knowledge-Based Systems and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Görkem Algan

3 papers receiving 248 citations

Hit Papers

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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.

Image classification with deep learning in the presence of noisy labels: A survey

2021 215 citations Görkem Algan, İlkay Ulusoy Knowledge-Based Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Görkem Algan Türkiye	3	125	93	28	26	20	3	254
Boxiong Yang China	9	51 0.4×	136 1.5×	16 0.6×	32 1.2×	20 1.0×	19	314
Deyi Ji China	9	97 0.8×	217 2.3×	16 0.6×	49 1.9×	14 0.7×	20	324
Zhuofan Zong China	3	68 0.5×	192 2.1×	24 0.9×	25 1.0×	12 0.6×	5	294
Wenyuan Yang China	10	65 0.5×	181 1.9×	16 0.6×	18 0.7×	14 0.7×	41	283
Yurong Guo China	7	101 0.8×	103 1.1×	12 0.4×	27 1.0×	10 0.5×	18	290
Shoufa Chen China	7	90 0.7×	226 2.4×	23 0.8×	56 2.2×	8 0.4×	13	422
Abdul Rehman Khan Pakistan	7	76 0.6×	75 0.8×	11 0.4×	17 0.7×	6 0.3×	13	258
Pavan Kumar Anasosalu Vasu United States	5	54 0.4×	129 1.4×	25 0.9×	19 0.7×	9 0.5×	6	250

Countries citing papers authored by Görkem Algan

Since Specialization

Citations

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

Fields of papers citing papers by Görkem Algan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Görkem Algan

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

All Works

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3 of 3 papers shown

1.

Algan, Görkem, et al.. (2022). Semantic Segmentation for Thermal Images: A Comparative Survey. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 285–294. 29 indexed citations

2.

Algan, Görkem & İlkay Ulusoy. (2022). MetaLabelNet: Learning to Generate Soft-Labels From Noisy-Labels. IEEE Transactions on Image Processing. 31. 4352–4362. 10 indexed citations

3.

Algan, Görkem & İlkay Ulusoy. (2021). Image classification with deep learning in the presence of noisy labels: A survey. Knowledge-Based Systems. 215. 106771–106771. 215 indexed citations breakdown →

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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