Amik Garg

822 total citations
14 papers, 516 citations indexed

About

Amik Garg is a scholar working on Management Information Systems, Artificial Intelligence and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Amik Garg has authored 14 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Management Information Systems, 4 papers in Artificial Intelligence and 3 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Amik Garg's work include Quality and Supply Management (4 papers), Reliability and Maintenance Optimization (3 papers) and Artificial Intelligence in Healthcare (2 papers). Amik Garg is often cited by papers focused on Quality and Supply Management (4 papers), Reliability and Maintenance Optimization (3 papers) and Artificial Intelligence in Healthcare (2 papers). Amik Garg collaborates with scholars based in India, Nigeria and Italy. Amik Garg's co-authors include S.G. Deshmukh, Akash Kumar Bhoi, Ranjit Panigrahi, Paolo Barsocchi, Joseph Bamidele Awotunde, Sanjeevikumar Padmanaban, Bidita Khandelwal, Femi Emmanuel Ayo, Shelly Singla and Varun Gupta and has published in prestigious journals such as Computer Networks, Wireless Personal Communications and Asia Pacific Journal of Marketing and Logistics.

In The Last Decade

Amik Garg

13 papers receiving 473 citations

Peers

Amik Garg
Royce O. Bowden United States
Anis Gharbi Saudi Arabia
Jezdimir Knežević United Kingdom
Xi Gu United States
Amik Garg
Citations per year, relative to Amik Garg Amik Garg (= 1×) peers Benoit Iung

Countries citing papers authored by Amik Garg

Since Specialization
Citations

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

Fields of papers citing papers by Amik Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amik Garg

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

All Works

14 of 14 papers shown
1.
Ayo, Femi Emmanuel, Joseph Bamidele Awotunde, Sakinat Oluwabukonla Folorunso, et al.. (2024). Bot-FFX: A Robust and Efficient Framework for Fast Flux Botnet (FFB) Detection. Wireless Personal Communications. 135(2). 1209–1232. 1 indexed citations
2.
Folorunso, Sakinat Oluwabukonla, et al.. (2023). Multi-Label Learning Model for Diabetes Disease Comorbidity. Journal of The Institution of Engineers (India) Series B. 104(5). 1133–1145. 1 indexed citations
3.
Panigrahi, Ranjit, et al.. (2023). An Ensemble of Light Gradient Boosting Machine and Adaptive Boosting for Prediction of Type-2 Diabetes. International Journal of Computational Intelligence Systems. 16(1). 42 indexed citations
4.
Awotunde, Joseph Bamidele, Ranjit Panigrahi, Bidita Khandelwal, Amik Garg, & Akash Kumar Bhoi. (2023). Breast cancer diagnosis based on hybrid rule-based feature selection with deep learning algorithm. Research on Biomedical Engineering. 39(1). 115–127. 23 indexed citations
5.
Awotunde, Joseph Bamidele, Femi Emmanuel Ayo, Ranjit Panigrahi, et al.. (2023). A Multi-level Random Forest Model-Based Intrusion Detection Using Fuzzy Inference System for Internet of Things Networks. International Journal of Computational Intelligence Systems. 16(1). 25 indexed citations
6.
Garg, Amik, et al.. (2022). Optimized DPMZM Based RoF Link Against Fiber Impairments. Wireless Personal Communications. 128(3). 1859–1871. 4 indexed citations
7.
Garg, Amik, et al.. (2021). Directivity enhancement with improved beamforming for physical layer ultra‐wideband communication by pulse shaping. International Journal of Communication Systems. 34(18).
8.
Garg, Amik, et al.. (2021). Performance optimization for UWB communication network under IEEE 802.15.4a channel conditions. Computer Networks. 201. 108585–108585. 2 indexed citations
9.
Garg, Amik, et al.. (2017). Advances in Power Systems and Energy Management. Lecture notes in electrical engineering. 19 indexed citations
10.
Garg, Amik & S.G. Deshmukh. (2012). Designing balanced scorecard for multi echelon repair inventory systems. Journal of Modelling in Management. 7(1). 59–96. 4 indexed citations
11.
Garg, Amik & S.G. Deshmukh. (2010). Engineering support issues for flexibility in maintenance. Asia Pacific Journal of Marketing and Logistics. 22(2). 247–270. 22 indexed citations
12.
Garg, Amik & S.G. Deshmukh. (2010). Multi-echelon Repair Inventory Systems: Select Issues in Modular Electronic Equipment. Defence Science Journal. 60(5). 514–524. 2 indexed citations
13.
Garg, Amik & S.G. Deshmukh. (2009). Flexibility in Maintenance: A Framework. Global Journal of Flexible Systems Management. 10(2). 21–33. 4 indexed citations
14.
Garg, Amik & S.G. Deshmukh. (2006). Maintenance management: literature review and directions. Journal of Quality in Maintenance Engineering. 12(3). 205–238. 367 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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