Puneet Sharma

7.7k total citations · 4 hit papers
193 papers, 5.2k citations indexed

About

Puneet Sharma is a scholar working on Computer Networks and Communications, Cardiology and Cardiovascular Medicine and Information Systems. According to data from OpenAlex, Puneet Sharma has authored 193 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Computer Networks and Communications, 34 papers in Cardiology and Cardiovascular Medicine and 31 papers in Information Systems. Recurrent topics in Puneet Sharma's work include Software-Defined Networks and 5G (54 papers), Network Traffic and Congestion Control (38 papers) and Caching and Content Delivery (30 papers). Puneet Sharma is often cited by papers focused on Software-Defined Networks and 5G (54 papers), Network Traffic and Congestion Control (38 papers) and Caching and Content Delivery (30 papers). Puneet Sharma collaborates with scholars based in United States, Germany and Romania. Puneet Sharma's co-authors include Sujata Banerjee, Praveen Yalagandula, Jean Tourrilhes, Jeffrey C. Mogul, Andrew R. Curtis, Priya Mahadevan, Yiannis Yiakoumis, Brandon Heller, Srini Seetharaman and Nick McKeown and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Journal of Computational Physics.

In The Last Decade

Puneet Sharma

181 papers receiving 5.0k 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.

DevoFlow

2011 778 citations Jean Tourrilhes, Praveen Yalagandula et al. profile →
ElasticTree: saving energy in data center networks

2010 694 citations Brandon Heller, Srini Seetharaman et al. Networked Systems Design and Implementation profile →
DevoFlow

2011 453 citations Jean Tourrilhes, Praveen Yalagandula et al. profile →
A machine-learning approach for computation of fractional flow reserve from coronary computed tomography

2016 268 citations Lucian Itu, Saikiran Rapaka et al. profile →

Peers

Puneet Sharma

CNC

EEE

RNMI

CCM

Michel Kadoch Canada

Zbigniew Kalbarczyk United States

Suresh Subramaniam United States

Francesco Mercaldo Italy

Antonella Santone Italy

Daniel Halperin United States

Hongzi Mao United States

Yasir Saleem Pakistan

Francesco Musumeci Italy

Jie Tang China

Michel Kadoch Canada

Puneet Sharma

1.6k ×0.4

CNC

221 ×0.2

1.9k ×1.5

EEE

360 ×0.5

RNMI

79 ×0.1

CCM

Citations per year, relative to Puneet Sharma Puneet Sharma (= 1×) peers Michel Kadoch

Countries citing papers authored by Puneet Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Puneet Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Puneet Sharma

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

20 of 20 papers shown

Zsarnóczay, Emese, Ákos Varga‐Szemes, U. Joseph Schoepf, et al.. (2025). Predicting mortality after transcatheter aortic valve replacement using AI-based fully automated left atrioventricular coupling index. Journal of cardiovascular computed tomography. 19(2). 201–207. 4 indexed citations

Rehwald, Wolfgang, et al.. (2024). Deep Learning-based Segmentation for Automatic Prediction of Optimal Inversion Time of Flow Independent Dark Blood Delayed Enhancement (FIDDLE) Images. Journal of Cardiovascular Magnetic Resonance. 26. 100889–100889.

Sharma, Puneet, et al.. (2024). Impact of the density of line service stations on overall performance in Bi-modal public transport settings. SHILAP Revista de lepidopterología. 3(3). 100118–100118. 1 indexed citations

Sharma, Puneet, et al.. (2024). Polar mesospheric summer echo (PMSE) multilayer properties during the solar maximum and solar minimum. Annales Geophysicae. 42(2). 431–453.

Fink, Nicola, U. Joseph Schoepf, Emese Zsarnóczay, et al.. (2024). Artificial Intelligence Provides Accurate Quantification of Thoracic Aortic Enlargement and Dissection in Chest CT. Diagnostics. 14(9). 866–866. 2 indexed citations

Toupin, Solenn, Théo Pezel, Thomas Hovasse, et al.. (2024). Artificial intelligence-based fully automated stress left ventricular ejection fraction as a prognostic marker in patients undergoing stress cardiovascular magnetic resonance. European Heart Journal - Cardiovascular Imaging. 25(10). 1338–1348.

Sharma, Puneet, et al.. (2024). Deep learning automatically distinguishes myocarditis patients from normal subjects based on MRI. The International Journal of Cardiovascular Imaging. 40(12). 2617–2629. 2 indexed citations

Samanta, Amit, et al.. (2023). Persistent Memory-Aware Scheduling for Serverless Workloads. 2 indexed citations

Sharma, Puneet, et al.. (2022). Clinical review on comparative study of two different formulations Amritadi Kwatha and Kandughna Mahakashaya Ghan Vati on the basis of clinical efficacy in patients of Udarda. Journal of Ayurveda and Integrated Medical Sciences. 7(5). 29–33. 1 indexed citations

10.

Tourrilhes, Jean, et al.. (2022). Voyager: Revisiting Available Bandwidth Estimation With a New Class of Methods—Decreasing- Chirp-Train Methods. IEEE/ACM Transactions on Networking. 30(4). 1717–1732. 1 indexed citations

11.

Suzuki, Takashi, Lucian Itu, Viorel Mihalef, et al.. (2020). An Automated Workflow for Hemodynamic Computations in Cerebral Aneurysms. Computational and Mathematical Methods in Medicine. 2020. 1–20. 3 indexed citations

12.

Fahmy, Sonia, et al.. (2019). Data-driven Resource Allocation in Virtualized Environments. Immunotechnology. 659–664. 1 indexed citations

13.

Sharma, Puneet, et al.. (2019). Implementing Machine Learning for Face Recognition based Attendance Monitoring System. International Conference on Computing for Sustainable Global Development. 4 indexed citations

14.

Sharma, Puneet, et al.. (2017). ENVI: Elastic resource flexing for Network function Virtualization.. 14 indexed citations

15.

Itu, Lucian, Dominik Neumann, Viorel Mihalef, et al.. (2017). Non-invasive assessment of patient-specific aortic haemodynamics from four-dimensional flow MRI data. Interface Focus. 8(1). 20170006–20170006. 7 indexed citations

16.

Itu, Lucian, et al.. (2016). Personalized blood flow computations: A hierarchical parameter estimation framework for tuning boundary conditions. International Journal for Numerical Methods in Biomedical Engineering. 33(3). 10 indexed citations

17.

Itu, Lucian, Puneet Sharma, Tiziano Passerini, et al.. (2014). A parameter estimation framework for patient-specific hemodynamic computations. Journal of Computational Physics. 281. 316–333. 19 indexed citations

18.

Sharma, Puneet, et al.. (2014). A robust metric for the evaluation of visual saliency models. 2. 654–661. 1 indexed citations

19.

Heller, Brandon, Srini Seetharaman, Priya Mahadevan, et al.. (2010). ElasticTree: saving energy in data center networks. Networked Systems Design and Implementation. 17–17. 694 indexed citations breakdown →

20.

Kim, Won-Ho, Puneet Sharma, Jeongkeun Lee, et al.. (2010). Automated and scalable QoS control for network convergence. 1–1. 102 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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