Sundaresh Ram

758 total citations
46 papers, 431 citations indexed

About

Sundaresh Ram is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Media Technology. According to data from OpenAlex, Sundaresh Ram has authored 46 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 12 papers in Pulmonary and Respiratory Medicine and 11 papers in Media Technology. Recurrent topics in Sundaresh Ram's work include Image Processing Techniques and Applications (8 papers), Medical Image Segmentation Techniques (7 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers). Sundaresh Ram is often cited by papers focused on Image Processing Techniques and Applications (8 papers), Medical Image Segmentation Techniques (7 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers). Sundaresh Ram collaborates with scholars based in United States, India and Belgium. Sundaresh Ram's co-authors include Jeffrey J. Rodrı́guez, Giovanni Bosco, Chakradhar Venkata, Xin Gao, Jonathan P. Vande Geest, Craig J. Galbán, Charles R. Hatt, Stefanie Galbán, Anirban Jana and Urs Utzinger and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Sundaresh Ram

45 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sundaresh Ram United States 11 254 61 58 56 46 46 431
Yonggang Shi China 10 378 1.5× 80 1.3× 40 0.7× 72 1.3× 7 0.2× 30 513
Anfei Fan United States 3 585 2.3× 160 2.6× 132 2.3× 37 0.7× 29 0.6× 6 699
Alireza Norouzi Malaysia 10 368 1.4× 144 2.4× 173 3.0× 50 0.9× 20 0.4× 14 643
Ben Appleton Australia 9 198 0.8× 43 0.7× 18 0.3× 39 0.7× 9 0.2× 19 290
Yawen Huang China 11 340 1.3× 120 2.0× 135 2.3× 114 2.0× 7 0.2× 52 508
Laura Reden United States 7 296 1.2× 154 2.5× 55 0.9× 24 0.4× 93 2.0× 9 411
Hüseyin Tek United States 14 569 2.2× 188 3.1× 59 1.0× 22 0.4× 86 1.9× 23 751
Christian Daul France 12 201 0.8× 105 1.7× 71 1.2× 24 0.4× 80 1.7× 62 461
Nils Papenberg Germany 8 363 1.4× 78 1.3× 34 0.6× 56 1.0× 10 0.2× 16 451

Countries citing papers authored by Sundaresh Ram

Since Specialization
Citations

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

Fields of papers citing papers by Sundaresh Ram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sundaresh Ram

This figure shows the co-authorship network connecting the top 25 collaborators of Sundaresh Ram. A scholar is included among the top collaborators of Sundaresh Ram 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 Sundaresh Ram. Sundaresh Ram 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.
Pal, Ravi Kant, Wassim W. Labaki, Benjamin A. Hoff, et al.. (2024). Local heterogeneity of normal lung parenchyma and small airways disease are associated with COPD severity and progression. Respiratory Research. 25(1). 106–106. 3 indexed citations
2.
Ram, Sundaresh, Stijn E. Verleden, M. S. A. Kumar, et al.. (2023). Computed tomography–based machine learning for donor lung screening before transplantation. The Journal of Heart and Lung Transplantation. 43(3). 394–402. 3 indexed citations
3.
Ram, Sundaresh, Rohit Pal, April J. Bell, et al.. (2023). Dictionary Learning to Predict COPD Progression Using Topological PRM. A4717–A4717. 1 indexed citations
4.
Ram, Sundaresh, Charles R. Hatt, Marina Pasca di Magliano, et al.. (2023). Lung cancer lesion detection in histopathology images using graph‐based sparse PCA network. Neoplasia. 42. 100911–100911. 12 indexed citations
5.
Wang, Jennifer M., Sundaresh Ram, Wassim W. Labaki, et al.. (2023). Topologic Parametric Response Mapping Identifies Tissue Subtypes Associated with Emphysema Progression. Academic Radiology. 31(3). 1148–1159. 7 indexed citations
6.
Bell, April J., Sundaresh Ram, Wassim W. Labaki, et al.. (2023). Topologic Parametric Response Mapping Identifies Emphysema Progression Subtypes in COPDGene. A6544–A6544. 1 indexed citations
7.
Sitto, Merna, Sundaresh Ram, Wenbin Ji, et al.. (2023). The adapter protein FADD provides an alternate pathway for entry into the cell cycle by regulating APC/C-Cdh1 E3 ubiquitin ligase activity. Journal of Biological Chemistry. 299(6). 104786–104786. 1 indexed citations
8.
Wang, Jennifer M., Wassim W. Labaki, Susan Murray, et al.. (2023). Machine learning for screening of at-risk, mild and moderate COPD patients at risk of FEV1 decline: results from COPDGene and SPIROMICS. Frontiers in Physiology. 14. 1144192–1144192. 4 indexed citations
9.
Gao, Xin, Sundaresh Ram, & Jeffrey J. Rodrı́guez. (2023). Exploiting bilinear interpolation and predictive particle swarm optimisation for tilt correction of vehicle license plate images. 4(2). 177–192. 1 indexed citations
10.
Ram, Sundaresh, et al.. (2022). CT-Based Commercial Software Applications: Improving Patient Care Through Accurate COPD Subtyping. International Journal of COPD. Volume 17. 919–930. 4 indexed citations
11.
Ram, Sundaresh, Benjamin A. Hoff, Stefanie Galbán, et al.. (2021). Improved detection of air trapping on expiratory computed tomography using deep learning. PLoS ONE. 16(3). e0248902–e0248902. 10 indexed citations
12.
Surowiec, Rachel K., Sundaresh Ram, Djaudat Idiyatullin, et al.. (2020). In vivo quantitative imaging biomarkers of bone quality and mineral density using multi-band-SWIFT magnetic resonance imaging. Bone. 143. 115615–115615. 5 indexed citations
13.
Jana, Anirban, Sundaresh Ram, Jeffrey J. Rodrı́guez, et al.. (2019). Racioethnic differences in the biomechanical response of the lamina cribrosa. Acta Biomaterialia. 88. 131–140. 20 indexed citations
14.
Ram, Sundaresh, Laria Reynolds, Stefanie Galbán, et al.. (2019). Identification of Expiratory Air Trapping in Thoracic Computed Tomography Using Deep Learning. A2565–A2565. 3 indexed citations
15.
Hatt, Charles R., Sundaresh Ram, & Craig J. Galbán. (2019). A Convolutional Neural Network Approach to Automated Lung Bounding Box Estimation from Computed Tomography Scans. 213–216. 1 indexed citations
16.
Ram, Sundaresh, et al.. (2017). Three-Dimensional Segmentation of the <italic>Ex-Vivo</italic> Anterior Lamina Cribrosa From Second-Harmonic Imaging Microscopy. IEEE Transactions on Biomedical Engineering. 65(7). 1617–1629. 18 indexed citations
17.
Ram, Sundaresh & Jeffrey J. Rodrı́guez. (2016). Size-Invariant Detection of Cell Nuclei in Microscopy Images. IEEE Transactions on Medical Imaging. 35(7). 1753–1764. 20 indexed citations
18.
Ram, Sundaresh & Jeffrey J. Rodrı́guez. (2016). Image super-resolution using graph regularized block sparse representation. 69–72. 6 indexed citations
19.
Ram, Sundaresh, et al.. (2014). A comparison of tracking algorithm performance for objects in wide area imagery. 109–112. 10 indexed citations
20.
Ram, Sundaresh, Jeffrey J. Rodrı́guez, & Giovanni Bosco. (2012). Segmentation and detection of fluorescent 3D spots. Cytometry Part A. 81A(3). 198–212. 19 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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