Vikas Hasija

1.3k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Vikas Hasija is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Vikas Hasija has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 4 papers in Epidemiology and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Vikas Hasija's work include Automotive and Human Injury Biomechanics (11 papers), Traffic and Road Safety (4 papers) and Traumatic Brain Injury Research (4 papers). Vikas Hasija is often cited by papers focused on Automotive and Human Injury Biomechanics (11 papers), Traffic and Road Safety (4 papers) and Traumatic Brain Injury Research (4 papers). Vikas Hasija collaborates with scholars based in United States and Canada. Vikas Hasija's co-authors include Erik G. Takhounts, Deepu S. Joseph, Michael J. Mills, Somnath Ghosh, Joe McFadden, Kevin Moorhouse, Matthew Craig, Stephen A. Ridella, Stefan M. Duma and Steven Rowson and has published in prestigious journals such as Acta Materialia, Scientific Reports and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Vikas Hasija

16 papers receiving 1.0k 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.

Development of Brain Injury Criteria (BrIC)

2013 347 citations Erik G. Takhounts, Matthew Craig et al. SAE technical papers on CD-ROM/SAE technical paper series profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vikas Hasija United States	6	669	376	258	245	192	16	1.1k
Andrew C. Merkle United States	16	427 0.6×	294 0.8×	133 0.5×	55 0.2×	32 0.2×	49	1.0k
Binhui Jiang United States	12	453 0.7×	170 0.5×	37 0.1×	92 0.4×	101 0.5×	35	680
Mariusz Ziejewski United States	19	561 0.8×	284 0.8×	84 0.3×	38 0.2×	26 0.1×	105	1.3k
Andrew R. Kemper United States	21	813 1.2×	204 0.5×	50 0.2×	206 0.8×	159 0.8×	88	1.3k
Jiangyue Zhang United States	18	525 0.8×	282 0.8×	29 0.1×	153 0.6×	105 0.5×	35	940
Simon Ouellet Canada	14	212 0.3×	96 0.3×	179 0.7×	27 0.1×	23 0.1×	57	837
J. W. Melvin United States	12	567 0.8×	146 0.4×	22 0.1×	113 0.5×	115 0.6×	34	804
Craig McNally United States	19	570 0.9×	164 0.4×	28 0.1×	237 1.0×	140 0.7×	49	931
Nabih M. Alem United States	12	546 0.8×	164 0.4×	21 0.1×	130 0.5×	96 0.5×	39	887
Sarah J. Manoogian United States	18	777 1.2×	678 1.8×	15 0.1×	450 1.8×	139 0.7×	40	1.3k

Countries citing papers authored by Vikas Hasija

Since Specialization

Citations

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

Fields of papers citing papers by Vikas Hasija

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikas Hasija

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

All Works

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16 of 16 papers shown

Hasija, Vikas & Erik G. Takhounts. (2022). Deep learning methodology for predicting time history of head angular kinematics from simulated crash videos. Scientific Reports. 12(1). 6526–6526. 1 indexed citations

Hasija, Vikas & Erik G. Takhounts. (2020). Machine Learning Based Model for Predicting Head Injury Criterion (HIC). SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations

Hasija, Vikas, et al.. (2020). Effect of angular acceleration on brain injury metric. 2 indexed citations

Hasija, Vikas, et al.. (2019). Simulation Assessment of Injury Trends for 50th Percentile Males Using Potential Seating Configurations of Future Automated Driving System (Ads) Equipped Vehicles. 3 indexed citations

Takhounts, Erik G., et al.. (2017). Investigation of parameters affecting brain model validation and brain strains using the SIMon finite element head model. 5 indexed citations

Takhounts, Erik G., Matthew Craig, Kevin Moorhouse, Joe McFadden, & Vikas Hasija. (2013). Development of Brain Injury Criteria (BrIC). SAE technical papers on CD-ROM/SAE technical paper series. 1. 243–66. 347 indexed citations breakdown →

Singh, Gurjeet, Vikas Hasija, Pradeep L. Menezes, & Kurt E. Beschorner. (2012). Using a 3-Dimensional Viscoelastic Finite Element Model to Analyze the Effects of Floor Roughness, Sliding Speed and Material Properties on Shoe-Floor Friction. 255–257. 1 indexed citations

Takhounts, Erik G., Vikas Hasija, Stephen A. Ridella, Steven Rowson, & Stefan M. Duma. (2011). Kinematic Rotational Brain Injury Criterion (BRIC). 53 indexed citations

Takhounts, Erik G., Vikas Hasija, & Rolf H. Eppinger. (2009). Analysis of 3D Rigid Body Motion Using the Nine Accelerometer Array and the Randomly Distributed In-Plane Accelerometer Systems. 2009. 3 indexed citations

10.

Hasija, Vikas, Erik G. Takhounts, & Stephen A. Ridella. (2009). Computerized Crash Reconstruction of Real World Crashes Using Optimization Methodology. 2009. 2 indexed citations

11.

Hasija, Vikas, et al.. (2009). Finite element model of ocular injury in abusive head trauma. Journal of American Association for Pediatric Ophthalmology and Strabismus. 13(4). 364–369. 55 indexed citations

12.

Takhounts, Erik G., Stephen A. Ridella, Vikas Hasija, et al.. (2008). Investigation of Traumatic Brain Injuries Using the Next Generation of Simulated Injury Monitor (SIMon) Finite Element Head Model. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1–31. 306 indexed citations

13.

Hasija, Vikas, Erik G. Takhounts, & Stephen A. Ridella. (2007). Computational Analysis of Real World Crashes: A Basis for Accident Reconstruction Methodology. 20th International Technical Conference on the Enhanced Safety of Vehicles (ESV)National Highway Traffic Safety Administration. 3 indexed citations

14.

Hasija, Vikas, Erik G. Takhounts, & Rolf H. Eppinger. (2004). Finding 3D angular accelerations of a rigid body from in-plane accelerometers using optimization. 2 indexed citations

15.

Takhounts, Erik G., Rolf H. Eppinger, Rabih E. Tannous, et al.. (2003). Analysis of 3D rigid body motion using the nine accelerometer array system. 3 indexed citations

16.

Hasija, Vikas, Somnath Ghosh, Michael J. Mills, & Deepu S. Joseph. (2003). Deformation and creep modeling in polycrystalline Ti–6Al alloys. Acta Materialia. 51(15). 4533–4549. 287 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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