Rakesh Garg

1.4k total citations
70 papers, 909 citations indexed

About

Rakesh Garg is a scholar working on Information Systems, Software and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rakesh Garg has authored 70 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 13 papers in Software and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rakesh Garg's work include Software Reliability and Analysis Research (13 papers), Multi-Criteria Decision Making (9 papers) and Software Engineering Research (8 papers). Rakesh Garg is often cited by papers focused on Software Reliability and Analysis Research (13 papers), Multi-Criteria Decision Making (9 papers) and Software Engineering Research (8 papers). Rakesh Garg collaborates with scholars based in India, United Arab Emirates and Saudi Arabia. Rakesh Garg's co-authors include Ramesh Kumar Garg, Kapil Sharma, Shailendra Narayan Singh, Samyak Jain, Amit Kumar Gupta, Om Pal, K. Singh, Supriya Raheja, Brijesh Kumar and Mamta Garg and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Food Composition and Analysis and Forensic Science International.

In The Last Decade

Rakesh Garg

62 papers receiving 837 citations

Peers

Rakesh Garg

MSOR

SOFTW

SRRQ

Muhammad Azeem Akbar China

Mohammad Nadeem India

Jacky Montmain France

Alexandros Bousdekis Greece

Alessio Ferrari Italy

Fuzan Chen China

Balbir Barn United Kingdom

Mansoor Ahmed Pakistan

Hammad Afzal Pakistan

Nikolaos Mittas Greece

Muhammad Azeem Akbar China

Rakesh Garg

949 ×4.0

138 ×0.6

MSOR

65 ×0.4

SOFTW

24 ×0.2

69 ×0.6

SRRQ

Citations per year, relative to Rakesh Garg Rakesh Garg (= 1×) peers Muhammad Azeem Akbar

Countries citing papers authored by Rakesh Garg

Since Specialization

Citations

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

Fields of papers citing papers by Rakesh Garg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rakesh Garg

This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh Garg. A scholar is included among the top collaborators of Rakesh 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 Rakesh Garg. Rakesh Garg 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

Garg, Rakesh & Neena Singla. (2025). An architecture for acrylamide detection in carbohydrate-rich food products using deep learning method. Journal of Food Composition and Analysis. 142. 107497–107497. 2 indexed citations

Garg, Rakesh, et al.. (2024). Performance evaluation of machine learning classifiers for brain stroke prediction. International Journal of Bioinformatics Research and Applications. 20(1). 61–77. 3 indexed citations

Garg, Rakesh, et al.. (2024). BCED-Net: Breast Cancer Ensemble Diagnosis Network using transfer learning and the XGBoost classifier with mammography images. Osong Public Health and Research Perspectives. 15(5). 409–419. 2 indexed citations

Garg, Rakesh, et al.. (2024). A Framework for Personality Prediction for E-Recruitment Using Machine Learning Algorithms. 1–5. 3 indexed citations

Gupta, Richa, et al.. (2023). A framework for dysgraphia detection in children using convolutional neural network. International Journal of Bioinformatics Research and Applications. 19(3). 170–185.

Garg, Rakesh, et al.. (2023). Disease Classification in Wheat from Images Using CNN. 566–571. 5 indexed citations

Garg, Rakesh, et al.. (2023). A Comparative Study: Deepfake Detection Using Deep-learning. 1–5. 9 indexed citations

Garg, Rakesh, et al.. (2023). Hyperspectral Image Classification for Remote Sensing: Comparative Analysis. 52. 1–6. 1 indexed citations

Garg, Rakesh, et al.. (2022). Impact of Human Resource Management Policies and Digitalization on the Public Sector Enterprises in India. Shanlax International Journal of Management. 9(S1-Feb). 282–287. 2 indexed citations

10.

Garg, Rakesh, et al.. (2019). Growth and Biomass Production of Different <I>Eucalyptus</i> Species on Riverine Soils of Punjab. Indian Forester. 145(3). 239–239.

11.

Garg, Mamta, et al.. (2017). Effect of green tea mouth rinse on Streptococcus mutans in plaque and saliva in children: An in vivo study. Journal of Indian Society of Pedodontics and Preventive Dentistry. 35(1). 41–46. 22 indexed citations

12.

Gupta, Amit, et al.. (2014). Developing a chair side, safe and non-invasive procedure for assessment of blood glucose level using gingival crevicular bleeding in dental clinics. Journal of Natural Science Biology and Medicine. 5(2). 329–329. 8 indexed citations

13.

Gupta, Amit, et al.. (2013). Development of noninvasive procedure for monitoring blood glucose level using gingival crevicular bleeding. SHILAP Revista de lepidopterología. 60(3). 124–128. 1 indexed citations

14.

Garg, Rakesh, et al.. (2011). Private sector in short rotation forestry: opportunities and challenges.. Indian Journal of Ecology. 38. 27–34. 1 indexed citations

15.

Sharma, RK, et al.. (2011). Development of poplar based agroforestry system.. Indian Journal of Ecology. 38. 11–14. 5 indexed citations

16.

Chavan, S. B., K. T. Parthiban, Periasamy Anbu, et al.. (2011). Investigations on pulp and biomass production of subabul genetic resources (Leucaena leucocephala (Lam.) de Wit.).. Indian Journal of Ecology. 38. 113–118. 1 indexed citations

17.

Garg, Rakesh, et al.. (2011). Contribution of trees outside forests toward wood production and environmental amelioration.. Indian Journal of Ecology. 38. 1–5. 9 indexed citations

18.

Garg, Ramesh Kumar, et al.. (2011). Ranking of software engineering metrics by fuzzy‐based matrix methodology. Software Testing Verification and Reliability. 23(2). 149–168. 22 indexed citations

19.

Zia, Paul, et al.. (1992). FLEXURAL AND SHEAR BEHAVIOR OF CONCRETE BEAMS REINFORCED WITH 3-D CONTINUOUS CARBON FIBER FABRIC. ACI Concrete International. 14(12). 48–52. 7 indexed citations

20.

Garg, Rakesh. (1983). Determination of ABO(H) blood group specific substances from fingernails. American Journal of Forensic Medicine & Pathology. 4(2). 143–144. 3 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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