Erdi Çallı

716 total citations · 1 hit paper
8 papers, 333 citations indexed

About

Erdi Çallı is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Erdi Çallı has authored 8 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Artificial Intelligence and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Erdi Çallı's work include COVID-19 diagnosis using AI (8 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Erdi Çallı is often cited by papers focused on COVID-19 diagnosis using AI (8 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Erdi Çallı collaborates with scholars based in Netherlands. Erdi Çallı's co-authors include Keelin Murphy, Bram van Ginneken, Ecem Sogancioglu, Kicky G. van Leeuwen, Ernst T. Scholten, Steven Schalekamp, Matthieu Rutten, Steef Kurstjens, Mathias Prokop and Robert Herpers and has published in prestigious journals such as PLoS ONE, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Erdi Çallı

8 papers receiving 322 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.

Deep learning for chest X-ray analysis: A survey

2021 264 citations Erdi Çallı, Ecem Sogancioglu et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Erdi Çallı Netherlands	6	270	106	106	54	34	8	333
Ecem Sogancioglu Netherlands	7	283 1.0×	122 1.2×	112 1.1×	48 0.9×	37 1.1×	10	379
Emanuele Pesce United Kingdom	5	230 0.9×	93 0.9×	78 0.7×	69 1.3×	36 1.1×	6	303
Anouk Stein United States	6	186 0.7×	47 0.4×	114 1.1×	46 0.9×	23 0.7×	9	257
Nishanth Arun United States	4	209 0.8×	51 0.5×	125 1.2×	79 1.5×	28 0.8×	7	300
Reza Reiazi Iran	13	298 1.1×	97 0.9×	111 1.0×	25 0.5×	83 2.4×	36	399
Emi Yamaga Japan	9	225 0.8×	46 0.4×	152 1.4×	25 0.5×	32 0.9×	28	311
Hayden Gunraj Canada	6	283 1.0×	38 0.4×	190 1.8×	53 1.0×	15 0.4×	11	317
Shravya Shetty United States	7	167 0.6×	66 0.6×	69 0.7×	75 1.4×	35 1.0×	15	276
Xigang Xiao China	8	250 0.9×	111 1.0×	70 0.7×	37 0.7×	77 2.3×	27	347
Gil-Sun Hong South Korea	10	149 0.6×	49 0.5×	71 0.7×	42 0.8×	48 1.4×	33	279

Countries citing papers authored by Erdi Çallı

Since Specialization

Citations

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

Fields of papers citing papers by Erdi Çallı

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erdi Çallı

This figure shows the co-authorship network connecting the top 25 collaborators of Erdi Çallı. A scholar is included among the top collaborators of Erdi Çallı 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 Erdi Çallı. Erdi Çallı 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:

8 of 8 papers shown

1.

Schalekamp, Steven, Kicky G. van Leeuwen, Erdi Çallı, et al.. (2024). Performance of AI to exclude normal chest radiographs to reduce radiologists’ workload. European Radiology. 34(11). 7255–7263. 8 indexed citations

2.

Çallı, Erdi, Keelin Murphy, Ernst T. Scholten, Steven Schalekamp, & Bram van Ginneken. (2022). Explainable emphysema detection on chest radiographs with deep learning. PLoS ONE. 17(7). e0267539–e0267539. 3 indexed citations

3.

Çallı, Erdi, Bram van Ginneken, Ecem Sogancioglu, & Keelin Murphy. (2022). FRODO: An In-Depth Analysis of a System to Reject Outlier Samples From a Trained Neural Network. IEEE Transactions on Medical Imaging. 42(4). 971–981. 5 indexed citations

4.

Çallı, Erdi, Ecem Sogancioglu, Bram van Ginneken, Kicky G. van Leeuwen, & Keelin Murphy. (2021). Deep learning for chest X-ray analysis: A survey. Medical Image Analysis. 72. 102125–102125. 264 indexed citations breakdown →

5.

Çallı, Erdi, Keelin Murphy, Steef Kurstjens, et al.. (2021). Deep learning with robustness to missing data: A novel approach to the detection of COVID-19. PLoS ONE. 16(7). e0255301–e0255301. 5 indexed citations

6.

Sogancioglu, Ecem, Keelin Murphy, Erdi Çallı, et al.. (2020). Cardiomegaly Detection on Chest Radiographs: Segmentation Versus Classification. IEEE Access. 8. 94631–94642. 37 indexed citations

7.

Çallı, Erdi, Ernst T. Scholten, Keelin Murphy, Bram van Ginneken, & Ecem Sogancioglu. (2019). Handling label noise through model confidence and uncertainty: application to chest radiograph classification. 41–41. 9 indexed citations

8.

Çallı, Erdi, Keelin Murphy, Ecem Sogancioglu, & Bram van Ginneken. (2019). FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis. arXiv (Cornell University). 2 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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