Akash Garg

698 total citations
20 papers, 519 citations indexed

About

Akash Garg is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Computer Networks and Communications. According to data from OpenAlex, Akash Garg has authored 20 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Mechanics, 6 papers in Computer Graphics and Computer-Aided Design and 5 papers in Computer Networks and Communications. Recurrent topics in Akash Garg's work include 3D Shape Modeling and Analysis (6 papers), Computer Graphics and Visualization Techniques (5 papers) and Network Security and Intrusion Detection (4 papers). Akash Garg is often cited by papers focused on 3D Shape Modeling and Analysis (6 papers), Computer Graphics and Visualization Techniques (5 papers) and Network Security and Intrusion Detection (4 papers). Akash Garg collaborates with scholars based in India, United States and Germany. Akash Garg's co-authors include Eitan Grinspun, Prachi Maheshwari, Max Wardetzky, Santosha K. Dwivedy, Peter Kaufmann, Bernd Bickel, Markus Groß, Bernhard Thomaszewski, Mélina Skouras and Andrew O. Sageman‐Furnas and has published in prestigious journals such as ACM Transactions on Graphics, Automation in Construction and IEEE Transactions on Control Systems Technology.

In The Last Decade

Akash Garg

20 papers receiving 502 citations

Peers

Akash Garg
Samuel Hornus France
Zherong Pan United States
Madhav K. Ponamgi United States
Qingnan Zhou United States
Roi Poranne Israel
Nobuyuki Kita Japan
Kwang-Jin Choi South Korea
Jing‐Sin Liu Taiwan
R.L. Grimsdale United Kingdom
Samuel Hornus France
Akash Garg
Citations per year, relative to Akash Garg Akash Garg (= 1×) peers Samuel Hornus

Countries citing papers authored by Akash Garg

Since Specialization
Citations

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

Fields of papers citing papers by Akash Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akash Garg

This figure shows the co-authorship network connecting the top 25 collaborators of Akash Garg. A scholar is included among the top collaborators of Akash 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 Akash Garg. Akash 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.
Selvaggio, Mario, Akash Garg, Fabio Ruggiero, Giuseppe Oriolo, & Bruno Siciliano. (2023). Non-Prehensile Object Transportation via Model Predictive Non-Sliding Manipulation Control. IEEE Transactions on Control Systems Technology. 31(5). 2231–2244. 7 indexed citations
2.
Garg, Akash & Taehee Lee. (2020). Secure key agreement for multi-device home IoT environment. Internet of Things. 11. 100249–100249. 2 indexed citations
3.
Garg, Akash, et al.. (2019). Probabilistic obstacle avoidance and object following: An overlap of Gaussians approach. 35. 1–8. 1 indexed citations
4.
Garg, Akash, et al.. (2019). Fruit quality evaluation using Machine Learning: A review. 952–956. 7 indexed citations
5.
6.
7.
Garg, Akash, Alec Jacobson, & Eitan Grinspun. (2016). Computational design of reconfigurables. ACM Transactions on Graphics. 35(4). 1–14. 24 indexed citations
8.
Garg, Akash & Prachi Maheshwari. (2016). PHAD: Packet header anomaly detection. 6. 1–5. 3 indexed citations
9.
Garg, Akash & Prachi Maheshwari. (2016). A hybrid intrusion detection system: A review. 1–5. 22 indexed citations
10.
Garg, Akash & Prachi Maheshwari. (2016). Performance analysis of Snort-based Intrusion Detection System. 1–5. 28 indexed citations
11.
Garg, Akash & Prachi Maheshwari. (2016). Identifying anomalies in network traffic using hybrid Intrusion Detection System. 1–6. 4 indexed citations
12.
Skouras, Mélina, Bernhard Thomaszewski, Peter Kaufmann, et al.. (2014). Designing inflatable structures. ACM Transactions on Graphics. 33(4). 1–10. 122 indexed citations
13.
Garg, Akash, Andrew O. Sageman‐Furnas, Bailin Deng, et al.. (2014). Wire mesh design. ACM Transactions on Graphics. 33(4). 1–12. 90 indexed citations
14.
Berthouzoz, Floraine, Akash Garg, Danny M. Kaufman, Eitan Grinspun, & Maneesh Agrawala. (2013). Parsing sewing patterns into 3D garments. ACM Transactions on Graphics. 32(4). 1–12. 61 indexed citations
15.
Garg, Akash, et al.. (2012). Control of pneumatic artificial muscle system through experimental modelling. Mechatronics. 22(8). 1135–1147. 72 indexed citations
16.
Garg, Akash, et al.. (2011). Vectorization of contour lines from scanned topographic maps. Automation in Construction. 22. 192–202. 13 indexed citations
17.
Garg, Akash, et al.. (2010). Seamless fracture in a production pipeline. 1–1. 1 indexed citations
18.
19.
Wardetzky, Max, Miklós Bergou, Akash Garg, et al.. (2008). Simple and efficient implementation of discrete plates and shells. 1–14. 1 indexed citations
20.
Garg, Akash, Eitan Grinspun, Max Wardetzky, & Denis Zorin. (2007). Cubic shells. 91–98. 28 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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2026