Mutlu Mete

957 total citations
51 papers, 654 citations indexed

About

Mutlu Mete is a scholar working on Artificial Intelligence, Oncology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mutlu Mete has authored 51 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 18 papers in Oncology and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mutlu Mete's work include Cutaneous Melanoma Detection and Management (17 papers), AI in cancer detection (16 papers) and Cell Image Analysis Techniques (6 papers). Mutlu Mete is often cited by papers focused on Cutaneous Melanoma Detection and Management (17 papers), AI in cancer detection (16 papers) and Cell Image Analysis Techniques (6 papers). Mutlu Mete collaborates with scholars based in United States, Türkiye and China. Mutlu Mete's co-authors include Nikolay Sirakov, Sinan Kockara, Nurcan Yuruk, Fusheng Tang, Xiaowei Xu, Ümit Topaloĝlu, Xiaowei Xu, Ünal Sakoğlu, Thomas A. J. Schweiger and Bryon Adinoff and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Transplantation.

In The Last Decade

Mutlu Mete

50 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mutlu Mete United States 14 237 195 137 99 84 51 654
Lawson L. S. Wong United States 12 175 0.7× 36 0.2× 33 0.2× 167 1.7× 11 0.1× 29 561
Dongge Li United States 12 139 0.6× 60 0.3× 66 0.5× 453 4.6× 23 0.3× 37 861
Yue Cao China 9 94 0.4× 28 0.1× 308 2.2× 31 0.3× 19 0.2× 39 564
Meng Yang China 16 265 1.1× 127 0.7× 225 1.6× 253 2.6× 50 0.6× 48 1.1k
Yuping Sun China 18 115 0.5× 305 1.6× 301 2.2× 206 2.1× 68 0.8× 56 1.2k
Anthony T.C. Goh Singapore 15 15 0.1× 60 0.3× 131 1.0× 296 3.0× 46 0.5× 30 853
Isam Abu‐Qasmieh Jordan 13 226 1.0× 135 0.7× 30 0.2× 77 0.8× 79 0.9× 39 604
Changyang Li Australia 14 208 0.9× 141 0.7× 69 0.5× 389 3.9× 54 0.6× 35 734
Hiam Alquran Jordan 15 358 1.5× 122 0.6× 38 0.3× 105 1.1× 131 1.6× 71 816
Dimitris Glotsos Greece 16 424 1.8× 69 0.4× 107 0.8× 219 2.2× 40 0.5× 73 868

Countries citing papers authored by Mutlu Mete

Since Specialization
Citations

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

Fields of papers citing papers by Mutlu Mete

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mutlu Mete

This figure shows the co-authorship network connecting the top 25 collaborators of Mutlu Mete. A scholar is included among the top collaborators of Mutlu Mete 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 Mutlu Mete. Mutlu Mete 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.
Gümüş, Kazım, et al.. (2024). Investigation of radiomic features on MRI images to identify extraprostatic extension in prostate cancer. Computer Methods and Programs in Biomedicine. 259. 108528–108528. 1 indexed citations
2.
Gümüş, Kazım, Nurcan Yuruk, Mutlu Mete, et al.. (2024). MRI‐based radiomic features for identifying recurrent prostate cancer after proton radiation therapy. Journal of Applied Clinical Medical Physics. 25(3). e14293–e14293. 3 indexed citations
3.
Cheng, Xingxing S., Benjamin Hippen, Roy D. Bloom, et al.. (2024). The Final Rule in a Bind: What We Are Learning From Suboptimal Simultaneous Heart-Kidney Outcomes and Potential Solutions to the Problem. Transplantation. 109(6). e317–e325. 1 indexed citations
4.
Virarkar, Mayur, Dheeraj Reddy Gopireddy, Chandana Lall, et al.. (2023). MRI-based nomograms and radiomics in presurgical prediction of extraprostatic extension in prostate cancer: a systematic review. Abdominal Radiology. 48(7). 2379–2400. 9 indexed citations
5.
Raman, Ganesh, Corey D. Kershaw, Sreekanth Cheruku, et al.. (2023). Machine learning prediction for COVID-19 disease severity at hospital admission. BMC Medical Informatics and Decision Making. 23(1). 46–46. 13 indexed citations
6.
Sakoğlu, Ünal, et al.. (2019). Classification of cocaine‐dependent participants with dynamic functional connectivity from functional magnetic resonance imaging data. Journal of Neuroscience Research. 97(7). 790–803. 22 indexed citations
7.
Kockara, Sinan, et al.. (2019). Local edge-enhanced active contour for accurate skin lesion border detection. BMC Bioinformatics. 20(S2). 91–91. 9 indexed citations
8.
Amin, Alpesh, Mark H. Drazner, Pradeep P.A. Mammen, et al.. (2017). Induction regimen and survival in simultaneous heart-kidney transplant recipients. The Journal of Heart and Lung Transplantation. 37(5). 587–595. 10 indexed citations
9.
Mete, Mutlu, Ünal Sakoğlu, Jeffrey S. Spence, et al.. (2016). Successful classification of cocaine dependence using brain imaging: a generalizable machine learning approach. BMC Bioinformatics. 17(S13). 357–357. 33 indexed citations
10.
Kockara, Sinan, et al.. (2016). Abrupt skin lesion border cutoff measurement for malignancy detection in dermoscopy images. BMC Bioinformatics. 17(S13). 367–367. 8 indexed citations
11.
Tanrıöver, Bekir, Malcolm MacConmara, Justin Parekh, et al.. (2016). Simultaneous Liver-Kidney Transplantation in Liver Transplant Candidates With Renal Dysfunction: Importance of Creatinine Levels, Dialysis, and Organ Quality in Survival. Kidney International Reports. 1(4). 221–229. 12 indexed citations
12.
Tanrıöver, Bekir, Song Zhang, Malcolm MacConmara, et al.. (2015). Induction Therapies in Live Donor Kidney Transplantation on Tacrolimus and Mycophenolate With or Without Steroid Maintenance. Clinical Journal of the American Society of Nephrology. 10(6). 1041–1049. 48 indexed citations
13.
Mete, Mutlu & Nikolay Sirakov. (2012). Dermoscopic diagnosis of melanoma in a 4D space constructed by active contour extracted features. Computerized Medical Imaging and Graphics. 36(7). 572–579. 24 indexed citations
14.
Chen, Juan, et al.. (2012). Panda facial region detection based on topology modelling. 911–915. 5 indexed citations
15.
Kockara, Sinan, et al.. (2011). An improved border detection in dermoscopy images for density based clustering. BMC Bioinformatics. 12(S10). S12–S12. 27 indexed citations
16.
Kockara, Sinan, et al.. (2010). Analysis of density based and fuzzy c-means clustering methods on lesion border extraction in dermoscopy images. BMC Bioinformatics. 11(S6). S26–S26. 19 indexed citations
17.
Mete, Mutlu & Ümit Topaloĝlu. (2009). Statistical comparison of color model-classifier pairs in hematoxylin and eosin stained histological images. 284–291. 13 indexed citations
18.
Mete, Mutlu, Leah Hennings, Horace J. Spencer, & Ümit Topaloĝlu. (2009). Automatic identification of angiogenesis in double stained images of liver tissue. BMC Bioinformatics. 10(S11). S13–S13. 15 indexed citations
19.
Mete, Mutlu, Fusheng Tang, Xiaowei Xu, & Nurcan Yuruk. (2008). A structural approach for finding functional modules from large biological networks. BMC Bioinformatics. 9(S9). S19–S19. 93 indexed citations
20.
Mete, Mutlu, Xiaowei Xu, Chun‐Yang Fan, & Gal Shafirstein. (2007). Automatic delineation of malignancy in histopathological head and neck slides. BMC Bioinformatics. 8(S7). S17–S17. 27 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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