Abhinav Garg

790 total citations
63 papers, 514 citations indexed

About

Abhinav Garg is a scholar working on Artificial Intelligence, Control and Systems Engineering and Signal Processing. According to data from OpenAlex, Abhinav Garg has authored 63 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 15 papers in Control and Systems Engineering and 8 papers in Signal Processing. Recurrent topics in Abhinav Garg's work include Speech Recognition and Synthesis (13 papers), Advanced Control Systems Optimization (12 papers) and Fault Detection and Control Systems (9 papers). Abhinav Garg is often cited by papers focused on Speech Recognition and Synthesis (13 papers), Advanced Control Systems Optimization (12 papers) and Fault Detection and Control Systems (9 papers). Abhinav Garg collaborates with scholars based in India, Canada and United States. Abhinav Garg's co-authors include Prashant Mhaskar, Chanwoo Kim, Dhananjaya Gowda, Aditya Vashistha, Richard Anderson, Brandon Corbett, Michael R. Thompson, Agha Ali Raza, Arun K. Tangirala and Shatrughan Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Industrial & Engineering Chemistry Research and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Abhinav Garg

58 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abhinav Garg India 14 154 106 99 46 44 63 514
Zhen Gao China 12 39 0.3× 113 1.1× 29 0.3× 66 1.4× 44 1.0× 53 424
Xiaolong Guo United States 14 227 1.5× 20 0.2× 147 1.5× 13 0.3× 18 0.4× 55 644
M. Rajaram India 14 58 0.4× 221 2.1× 15 0.2× 19 0.4× 54 1.2× 121 768
José A. Taboada Spain 12 114 0.7× 10 0.1× 77 0.8× 45 1.0× 34 0.8× 40 532
M. Srinivas India 12 156 1.0× 39 0.4× 25 0.3× 18 0.4× 11 0.3× 48 438
Almas Abbasi Pakistan 10 129 0.8× 20 0.2× 190 1.9× 10 0.2× 30 0.7× 29 702
Yaohua Wang China 13 71 0.5× 23 0.2× 15 0.2× 16 0.3× 8 0.2× 75 558
Fengyong Li China 17 133 0.9× 35 0.3× 42 0.4× 5 0.1× 6 0.1× 97 920
Н. А. Спирин Russia 11 114 0.7× 22 0.2× 25 0.3× 291 6.3× 27 0.6× 165 684
Dhiaa Musleh Saudi Arabia 12 135 0.9× 26 0.2× 43 0.4× 14 0.3× 6 0.1× 27 392

Countries citing papers authored by Abhinav Garg

Since Specialization
Citations

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

Fields of papers citing papers by Abhinav Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhinav Garg

This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Garg. A scholar is included among the top collaborators of Abhinav Garg 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 Abhinav Garg. Abhinav Garg 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.
Garg, Abhinav, et al.. (2024). A Rare Case Report of Enchondroma of Triquetrum and Pisiform. Journal of Orthopaedic Case Reports. 14(7). 55–59.
2.
Garg, Abhinav, et al.. (2022). Design and application of data driven economic model predictive control for a rotational molding process. Computers & Chemical Engineering. 161. 107713–107713. 10 indexed citations
3.
Garg, Abhinav, et al.. (2022). A literature review on trigeminal neuralgia. 5(2). 19–21.
4.
Jain, Pooja, Abhinav Garg, Uzma Farooq, et al.. (2021). Preparation and quality by design assisted (Qb-d) optimization of bioceramic loaded microspheres for periodontal delivery of doxycycline hyclate. Saudi Journal of Biological Sciences. 28(5). 2677–2685. 9 indexed citations
5.
Venkatakrishnan, AJ, Arjun Puranik, Akash Anand, et al.. (2020). Knowledge synthesis of 100 million biomedical documents augments the deep expression profiling of coronavirus receptors. SHILAP Revista de lepidopterología. 46 indexed citations
6.
Garg, Abhinav, et al.. (2020). Non-ischemic Cardiomyopathy: A Rare Adverse Effect of Clozapine. Cureus. 12(4). e7901–e7901. 2 indexed citations
7.
Garg, Abhinav, et al.. (2020). A Complex Case of Polymyositis Overlapping With Hypothyroid Myopathy Without Underlying Autoimmune Thyroid Disorder. Cureus. 12(6). e8629–e8629. 2 indexed citations
8.
Gowda, Dhananjaya, Kwangyoun Kim, Abhinav Garg, et al.. (2020). Utterance Invariant Training for Hybrid Two-Pass End-to-End Speech Recognition. 2827–2831. 5 indexed citations
9.
Garg, Abhinav, et al.. (2019). Handling Constraints and Raw Material Variability in Rotomolding through Data-Driven Model Predictive Control. Processes. 7(9). 610–610. 5 indexed citations
10.
Garg, Abhinav, et al.. (2019). Data-Driven Advances in Manufacturing for Batch Polymer Processing Using Multivariate Nondestructive Monitoring. Industrial & Engineering Chemistry Research. 58(23). 9940–9951. 12 indexed citations
11.
Garg, Abhinav, et al.. (2019). Pericardial Effusion: Rare Adverse Effect of Clozapine. Cureus. 11(6). e4890–e4890. 3 indexed citations
12.
Garg, Abhinav, et al.. (2018). Model predictive control of uni-axial rotational molding process. Computers & Chemical Engineering. 121. 306–316. 15 indexed citations
13.
Garg, Abhinav & Prashant Mhaskar. (2018). Utilizing big data for batch process modeling and control. Computers & Chemical Engineering. 119. 228–236. 22 indexed citations
14.
Garg, Abhinav, Brandon Corbett, Prashant Mhaskar, Gangshi Hu, & Jesus Flores‐Cerrillo. (2017). Subspace-based model identification of a hydrogen plant startup dynamics. Computers & Chemical Engineering. 106. 183–190. 18 indexed citations
15.
Garg, Abhinav & Prashant Mhaskar. (2017). Subspace Identification-Based Modeling and Control of Batch Particulate Processes. Industrial & Engineering Chemistry Research. 56(26). 7491–7502. 28 indexed citations
16.
Garg, Abhinav, et al.. (2017). Survey of Web Crawler Algorithms. International Journal of Advanced Research in Computer Science. 8(5). 426–428. 6 indexed citations
17.
Garg, Abhinav, et al.. (2015). Evaluation Of Tolerance And Sensitivity Of Selected Plant Species With Special Reference To Gasoline Exhaust Pollution. SHILAP Revista de lepidopterología. 4(2). 199–207. 5 indexed citations
18.
Garg, Abhinav, Anoop Kumar, & Kanchan Kohli. (2013). Dilution Phenomenon in Mixed Surfactant based Self Micro Emulsifying Formulations Of Ginger Oleoresin: Ex Vivo And In Vivo Performances. International Journal of Phytomedicine. 5(3). 270–283. 2 indexed citations
19.
Kaur, Gurvinder, Neeraj Kumar, Ramya Nandakumar, et al.. (2012). Utility of saliva and hair follicles in donor selection for hematopoietic stem cell transplantation and chimerism monitoring. PubMed. 3(1). 9–17. 9 indexed citations
20.
Levin, Daniel L., et al.. (2008). A prospective randomized controlled blinded study of three bronchodilators in infants with respiratory syncytial virus bronchiolitis on mechanical ventilation*. Pediatric Critical Care Medicine. 9(6). 598–604. 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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