Hammad Mazhar

1.1k total citations · 1 hit paper
27 papers, 517 citations indexed

About

Hammad Mazhar is a scholar working on Control and Systems Engineering, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hammad Mazhar has authored 27 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 13 papers in Computational Mechanics and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hammad Mazhar's work include Dynamics and Control of Mechanical Systems (15 papers), Fluid Dynamics Simulations and Interactions (11 papers) and Granular flow and fluidized beds (6 papers). Hammad Mazhar is often cited by papers focused on Dynamics and Control of Mechanical Systems (15 papers), Fluid Dynamics Simulations and Interactions (11 papers) and Granular flow and fluidized beds (6 papers). Hammad Mazhar collaborates with scholars based in United States, Italy and Switzerland. Hammad Mazhar's co-authors include Dan Negruţ, Toby Heyn, Alessandro Tasora, Arman Pazouki, Dieter Fox, Daniel Melanz, Radu Serban, Philipp Hahn, Xiang Yu and Shoubhik Debnath and has published in prestigious journals such as Journal of Computational Physics, ACM Transactions on Graphics and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Hammad Mazhar

24 papers receiving 492 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.

Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

2023 89 citations Mayank Mittal, Calvin Yu et al. IEEE Robotics and Automation Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hammad Mazhar United States	11	221	136	107	93	85	27	517
Xiangyang Zhang China	8	201 0.9×	71 0.5×	129 1.2×	56 0.6×	45 0.5×	12	440
R. Whalley United Kingdom	14	507 2.3×	102 0.8×	57 0.5×	327 3.5×	104 1.2×	95	850
Wanze Lu China	11	148 0.7×	37 0.3×	55 0.5×	125 1.3×	140 1.6×	15	598
Bálint Vanek Hungary	16	351 1.6×	124 0.9×	115 1.1×	82 0.9×	36 0.4×	88	800
Amir Hajiloo Iran	9	126 0.6×	87 0.6×	65 0.6×	89 1.0×	21 0.2×	21	402
Jafar Roshanian Iran	16	325 1.5×	91 0.7×	67 0.6×	74 0.8×	87 1.0×	109	933
Zhe Wu China	15	133 0.6×	86 0.6×	179 1.7×	54 0.6×	82 1.0×	80	774

Countries citing papers authored by Hammad Mazhar

Since Specialization

Citations

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

Fields of papers citing papers by Hammad Mazhar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hammad Mazhar

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

All Works

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20 of 20 papers shown

Mittal, Mayank, Calvin Yu, Jingzhou Liu, et al.. (2023). Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments. IEEE Robotics and Automation Letters. 8(6). 3740–3747. 89 indexed citations breakdown →

Tasora, Alessandro, Radu Serban, Hammad Mazhar, et al.. (2020). Chrono: Multi-physics simulation engine. Astrophysics Source Code Library. 1 indexed citations

Paxton, Chris, et al.. (2020). Transferable Task Execution from Pixels through Deep Planning Domain Learning. 10459–10465. 26 indexed citations

Negruţ, Dan, Hammad Mazhar, Radu Serban, & Milad Rakhsha. (2018). On Simulating Sloshing in Vehicle Dynamics. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations

Mazhar, Hammad, Tim A. Osswald, & Dan Negruţ. (2016). On the use of computational multi-body dynamics analysis in SLS-based 3D printing. Additive manufacturing. 12. 291–295. 23 indexed citations

Mazhar, Hammad & Dan Negruţ. (2015). Comparison of OpenCL performance on different platforms using VexCL and Blaze.

Mazhar, Hammad, Toby Heyn, Dan Negruţ, & Alessandro Tasora. (2015). Using Nesterov's Method to Accelerate Multibody Dynamics with Friction and Contact. ACM Transactions on Graphics. 34(3). 1–14. 70 indexed citations

Li, Ang, Hammad Mazhar, Radu Serban, & Dan Negruţ. (2015). Comparison of SPMV performance on matrices with different matrix format using CUSP, cuSPARSE and ViennaCL. 4 indexed citations

Melanz, Daniel, Hammad Mazhar, & Dan Negruţ. (2014). A Multibody Dynamics-Enabled Mobility Analysis Tool for Military Applications. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations

10.

Negruţ, Dan, Radu Serban, Hammad Mazhar, & Toby Heyn. (2014). Parallel Computing in Multibody System Dynamics: Why, When, and How. Journal of Computational and Nonlinear Dynamics. 9(4). 40 indexed citations

11.

Heyn, Toby, Hammad Mazhar, Arman Pazouki, et al.. (2013). Chrono: A Parallel Physics Library for Rigid-Body, Flexible-Body, and Fluid Dynamics. 3 indexed citations

12.

Negruţ, Dan, et al.. (2013). Investigating Through Simulation the Mobility of Light Tracked Vehicles Operating on Discrete Granular Terrain. SAE International Journal of Passenger Cars - Mechanical Systems. 6(1). 369–381. 19 indexed citations

13.

Pazouki, Arman, Hammad Mazhar, & Dan Negruţ. (2012). Parallel collision detection of ellipsoids with applications in large scale multibody dynamics. Mathematics and Computers in Simulation. 82(5). 879–894. 14 indexed citations

14.

Negruţ, Dan, Hammad Mazhar, Daniel Melanz, et al.. (2012). INVESTIGATING THE MOBILITY OF LIGHT AUTONOMOUS TRACKED VEHICLES USING A HIGH PERFORMANCE COMPUTING SIMULATION CAPABILITY. SAE technical papers on CD-ROM/SAE technical paper series. 1. 7 indexed citations

15.

Cameron, Jonathan, Abhinandan Jain, Christopher Lim, et al.. (2011). Physics-Based Simulator for NEO Exploration Analysis & Modeling. 3 indexed citations

16.

Negruţ, Dan, Alessandro Tasora, Hammad Mazhar, Toby Heyn, & Philipp Hahn. (2011). Leveraging parallel computing in multibody dynamics. Multibody System Dynamics. 27(1). 95–117. 45 indexed citations

17.

Mazhar, Hammad, Toby Heyn, & Dan Negruţ. (2011). A scalable parallel method for large collision detection problems. Multibody System Dynamics. 26(1). 37–55. 39 indexed citations

18.

Pazouki, Arman, Hammad Mazhar, & Dan Negruţ. (2010). Parallel Ellipsoid Collision Detection With Applications in Contact Dynamics. 795–806. 3 indexed citations

19.

Tasora, Alessandro, Dan Negruţ, Mihai Anitescu, Hammad Mazhar, & Toby Heyn. (2010). Simulation of Massive Multibody Systems. Digital Library (University of West Bohemia). 1 indexed citations

20.

Heyn, Toby, et al.. (2009). GPU-Based Parallel Collision Detection for Granular Flow Dynamics. 2 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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