Salim Arslan

897 total citations
13 papers, 510 citations indexed

About

Salim Arslan is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Salim Arslan has authored 13 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Cognitive Neuroscience and 4 papers in Artificial Intelligence. Recurrent topics in Salim Arslan's work include Functional Brain Connectivity Studies (6 papers), Advanced MRI Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Salim Arslan is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Advanced MRI Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Salim Arslan collaborates with scholars based in United Kingdom, United States and Türkiye. Salim Arslan's co-authors include Sarah Parisot, Daniel Rueckert, Çiğdem Gündüz-Demir, Sofia Ira Ktena, Antonios Makropoulos, Emma C. Robinson, Emel Özyürek, Rengül Çetin-Atalay, Tülin Erşahin and William M. Wells and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Salim Arslan

13 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Salim Arslan United Kingdom	9	282	229	143	92	88	13	510
Siqi Liu China	5	103 0.4×	110 0.5×	93 0.7×	154 1.7×	66 0.8×	12	507
T. Sunil Kumar India	11	190 0.7×	141 0.6×	124 0.9×	209 2.3×	8 0.1×	35	528
Junning Li United States	11	130 0.5×	108 0.5×	48 0.3×	40 0.4×	25 0.3×	25	353
Mausumi Acharyya India	12	230 0.8×	70 0.3×	204 1.4×	84 0.9×	6 0.1×	17	569
Luca Ambrogioni Netherlands	8	264 0.9×	36 0.2×	79 0.6×	41 0.4×	35 0.4×	24	387
Matías Nicolás Bossa Spain	13	78 0.3×	170 0.7×	151 1.1×	78 0.8×	14 0.2×	29	547
Shuailei Zhang China	9	244 0.9×	87 0.4×	26 0.2×	115 1.3×	27 0.3×	18	430
Kamel Belkacem-Boussaid United States	10	100 0.4×	48 0.2×	212 1.5×	212 2.3×	88 1.0×	14	435
Katja Seeliger Netherlands	7	233 0.8×	21 0.1×	124 0.9×	68 0.7×	53 0.6×	14	358
T. Jiang China	6	214 0.8×	70 0.3×	65 0.5×	30 0.3×	8 0.1×	18	343

Countries citing papers authored by Salim Arslan

Since Specialization

Citations

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

Fields of papers citing papers by Salim Arslan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salim Arslan

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

All Works

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13 of 13 papers shown

Walsh, Elizabeth, Salim Arslan, Rebecca Millican‐Slater, et al.. (2025). A Deep-Learning Solution Identifies HER2 Negative Cases and Provides ER and PR Results From H&E-Stained Breast Cancer Specimens: A Blind Validation Study. Clinical Breast Cancer. 25(7). 650–657. 1 indexed citations

Arslan, Salim, Gareth Bryson, David J. Harrison, et al.. (2024). Abstract PO3-07-05: Multi-site validation of a deep learning solution for ER/PR profiling of breast cancer from H&E-stained pathology slides. Cancer Research. 84(9_Supplement). PO3–7. 1 indexed citations

Arslan, Salim, et al.. (2024). A systematic pan-cancer study on deep learning-based prediction of multi-omic biomarkers from routine pathology images. SHILAP Revista de lepidopterología. 4(1). 48–48. 12 indexed citations

Arslan, Salim, Pankita H. Pandya, Sebastián Wolf, et al.. (2023). 1226P Multi-site validation of a deep learning solution for HER2 profiling of breast cancer from H&E-stained pathology slides. Annals of Oncology. 34. S718–S718. 1 indexed citations

Arslan, Salim, Sofia Ira Ktena, Antonios Makropoulos, et al.. (2017). Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex. NeuroImage. 170. 5–30. 230 indexed citations

Parisot, Sarah, Ben Glocker, Sofia Ira Ktena, et al.. (2017). A flexible graphical model for multi-modal parcellation of the cortex. NeuroImage. 162. 226–248. 9 indexed citations

Ktena, Sofia Ira, Salim Arslan, Sarah Parisot, & Daniel Rueckert. (2017). Exploring heritability of functional brain networks with inexact graph matching. Spiral (Imperial College London). 354–357. 5 indexed citations

Parisot, Sarah, Salim Arslan, Jonathan Passerat‐Palmbach, William M. Wells, & Daniel Rueckert. (2016). Group-wise parcellation of the cortex through multi-scale spectral clustering. NeuroImage. 136. 68–83. 29 indexed citations

Arslan, Salim, Sarah Parisot, & Daniel Rueckert. (2015). Joint Spectral Decomposition for the Parcellation of the Human Cerebral Cortex Using Resting-State fMRI. Lecture notes in computer science. 24. 85–97. 25 indexed citations

10.

Parisot, Sarah, Salim Arslan, Jonathan Passerat‐Palmbach, William M. Wells, & Daniel Rueckert. (2015). Tractography-Driven Groupwise Multi-scale Parcellation of the Cortex. Lecture notes in computer science. 24. 600–612. 14 indexed citations

11.

Arslan, Salim, Emel Özyürek, & Çiğdem Gündüz-Demir. (2014). A color and shape based algorithm for segmentation of white blood cells in peripheral blood and bone marrow images. Cytometry Part A. 85(6). 480–490. 103 indexed citations

12.

Arslan, Salim, Tülin Erşahin, Rengül Çetin-Atalay, & Çiğdem Gündüz-Demir. (2013). Attributed Relational Graphs for Cell Nucleus Segmentation in Fluorescence Microscopy Images. IEEE Transactions on Medical Imaging. 32(6). 1121–1131. 47 indexed citations

13.

Koyuncu, Can, Salim Arslan, İrem Durmaz, Rengül Çetin-Atalay, & Çiğdem Gündüz-Demir. (2012). Smart Markers for Watershed-Based Cell Segmentation. PLoS ONE. 7(11). e48664–e48664. 33 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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