Murat Dündar

2.3k total citations
59 papers, 1.4k citations indexed

About

Murat Dündar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Astronomy and Astrophysics. According to data from OpenAlex, Murat Dündar has authored 59 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Astronomy and Astrophysics. Recurrent topics in Murat Dündar's work include Image Retrieval and Classification Techniques (9 papers), Planetary Science and Exploration (8 papers) and Bayesian Methods and Mixture Models (7 papers). Murat Dündar is often cited by papers focused on Image Retrieval and Classification Techniques (9 papers), Planetary Science and Exploration (8 papers) and Bayesian Methods and Mixture Models (7 papers). Murat Dündar collaborates with scholars based in United States, Germany and Türkiye. Murat Dündar's co-authors include Emine Malkoç, Yaşar Nuhoğlu, Jinbo Bi, Sunil Badve, Bartek Rajwa, R. Bharat Rao, Balaji Krishnapuram, Wei Liu, Xiaofan Zhang and Shaoting Zhang and has published in prestigious journals such as Journal of Hazardous Materials, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Murat Dündar

58 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Murat Dündar United States 20 370 339 336 178 139 59 1.4k
Guoning Chen United States 27 101 0.3× 163 0.5× 549 1.6× 185 1.0× 77 0.6× 146 2.4k
Dongqi Wang China 26 203 0.5× 232 0.7× 55 0.2× 355 2.0× 103 0.7× 123 2.2k
Xin Su China 25 83 0.2× 84 0.2× 644 1.9× 183 1.0× 24 0.2× 105 2.0k
Huaqing Zhang China 26 240 0.6× 158 0.5× 142 0.4× 323 1.8× 18 0.1× 133 2.4k
Subodh Srivastava India 22 265 0.7× 15 0.0× 318 0.9× 216 1.2× 170 1.2× 169 1.8k
Wenzhe Wang China 23 177 0.5× 36 0.1× 136 0.4× 198 1.1× 206 1.5× 127 1.7k
Hongying Liu China 24 324 0.9× 29 0.1× 628 1.9× 131 0.7× 104 0.7× 157 1.9k
Yanyang Liu China 25 43 0.1× 218 0.6× 61 0.2× 368 2.1× 29 0.2× 181 1.9k
Shilin Zhou China 28 235 0.6× 38 0.1× 1.3k 3.9× 150 0.8× 28 0.2× 109 3.0k
Jia Liu China 29 77 0.2× 82 0.2× 60 0.2× 293 1.6× 25 0.2× 177 3.0k

Countries citing papers authored by Murat Dündar

Since Specialization
Citations

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

Fields of papers citing papers by Murat Dündar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Murat Dündar

This figure shows the co-authorship network connecting the top 25 collaborators of Murat Dündar. A scholar is included among the top collaborators of Murat Dündar 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 Murat Dündar. Murat Dündar 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.
Rajwa, Bartek, Mohammad Adibuzzaman, Ananth Grama, et al.. (2024). Identification of predictive patient characteristics for assessing the probability of COVID-19 in-hospital mortality. PLOS Digital Health. 3(4). e0000327–e0000327. 2 indexed citations
3.
Wu, Xun, et al.. (2023). Deep-Learning-Based High-Intensity Focused Ultrasound Lesion Segmentation in Multi-Wavelength Photoacoustic Imaging. Bioengineering. 10(9). 1060–1060. 2 indexed citations
4.
Picard, Christine J., et al.. (2023). Classifying the unknown: Insect identification with deep hierarchical Bayesian learning. Methods in Ecology and Evolution. 14(6). 1515–1530. 19 indexed citations
5.
Ehlmann, B. L., et al.. (2022). A machine learning toolkit for CRISM image analysis. Icarus. 376. 114849–114849. 19 indexed citations
6.
Biscola, Natália P., Leif A. Havton, Bartek Rajwa, et al.. (2022). High-throughput segmentation of unmyelinated axons by deep learning. Scientific Reports. 12(1). 1198–1198. 13 indexed citations
7.
Fox, V. K., Murat Dündar, & B. L. Ehlmann. (2020). CRISM Detections of Hydrated Silica in Mt Sharp, Gale Crater. IUScholarWorks (Indiana University). 2912. 2 indexed citations
8.
Dündar, Murat, et al.. (2019). Rare Phase Detections in CRISM Data at Pixel-Scale by Machine Learning Generate New Discoveries About Geology at Mars Rover Landing Sites: Jezero and NE Syrtis. IUScholarWorks (Indiana University). 3105. 2 indexed citations
9.
Ehlmann, B. L., et al.. (2019). Evidence for Chemically Distinct Waters Forming Sulphates and Chlorides in Terra Sirenum, Mars. IUScholarWorks (Indiana University). 2636. 1 indexed citations
10.
Bungart, Brittani, Lu Lan, Pu Wang, et al.. (2018). Photoacoustic tomography of intact human prostates and vascular texture analysis identify prostate cancer biopsy targets. Photoacoustics. 11. 46–55. 21 indexed citations
11.
Dündar, Murat, et al.. (2017). Clustering patient mobility patterns to assess effectiveness of health-service delivery. BMC Health Services Research. 17(1). 458–458. 14 indexed citations
12.
Ehlmann, B. L. & Murat Dündar. (2016). Acidic Conditions During Open System Weathering on Late Noachian/Early Hesperian Mars? Newly Identified Outcrops of Alunite and Jarosite from Orbital CRISM Data. 48. 1 indexed citations
13.
Rajwa, Bartek, Paul K. Wallace, Elizabeth A. Griffiths, & Murat Dündar. (2016). Automated Assessment of Disease Progression in Acute Myeloid Leukemia by Probabilistic Analysis of Flow Cytometry Data. IEEE Transactions on Biomedical Engineering. 64(5). 1089–1098. 22 indexed citations
14.
Ehlmann, B. L. & Murat Dündar. (2015). Are Noachian/Hesperian Acidic Waters Key to Generating Mars' Regional-Scale Aluminum Phyllosilicates? The Importance of Jarosite Co-Occurrences with Al-Phyllosilicate Units. Lunar and Planetary Science Conference. 1635. 3 indexed citations
15.
Duchnowska, Renata, Jacek Jassem, Chirayu Goswami, et al.. (2015). Predicting early brain metastases based on clinicopathological factors and gene expression analysis in advanced HER2-positive breast cancer patients. Journal of Neuro-Oncology. 122(1). 205–216. 29 indexed citations
16.
17.
Rajwa, Bartek, et al.. (2014). The Infinite Mixture of Infinite Gaussian Mixtures. IUScholarWorks (Indiana University). 27. 28–36. 15 indexed citations
18.
Dündar, Murat, Glenn Fung, Balaji Krishnapuram, & R. Bharat Rao. (2008). Multiple-Instance Learning Algorithms for Computer-Aided Detection. IEEE Transactions on Biomedical Engineering. 55(3). 1015–1021. 30 indexed citations
19.
Bogoni, Luca, Pascal Cathier, Murat Dündar, et al.. (2005). Computer-aided detection (CAD) for CT colonography: a tool to address a growing need. British Journal of Radiology. 78(suppl_1). S57–S62. 56 indexed citations
20.
Dündar, Murat, O. T. Inal, & J. Stringer. (1999). The effect of particle size on the erosion of a ductile material at the low particle size limit. Wear. 233-235. 727–736. 12 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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