Inderveer Chana

4.7k total citations · 1 hit paper
98 papers, 3.1k citations indexed

About

Inderveer Chana is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Inderveer Chana has authored 98 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Networks and Communications, 68 papers in Information Systems and 15 papers in Artificial Intelligence. Recurrent topics in Inderveer Chana's work include Cloud Computing and Resource Management (62 papers), IoT and Edge/Fog Computing (40 papers) and Distributed and Parallel Computing Systems (33 papers). Inderveer Chana is often cited by papers focused on Cloud Computing and Resource Management (62 papers), IoT and Edge/Fog Computing (40 papers) and Distributed and Parallel Computing Systems (33 papers). Inderveer Chana collaborates with scholars based in India, Australia and Ireland. Inderveer Chana's co-authors include Sukhpal Singh, Anju Bala, Neeraj Kumar Rathore, Rajkumar Buyya, Pankaj Deep Kaur, Tarandeep Kaur, Sukhpal Singh Gill, Maninder Singh, Siobhán Clarke and Ashima Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and ACM Computing Surveys.

In The Last Decade

Inderveer Chana

94 papers receiving 2.8k 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.

A Survey on Resource Scheduling in Cloud Computing: Issues and Challenges

2016 321 citations Sukhpal Singh, Inderveer Chana profile →

Peers

Inderveer Chana

CNC

IS

AI

CVPR

EEE

Jie Xu United Kingdom

Luis Rodero‐Merino Spain

Adel N. Toosi Australia

Manuel Díáz Spain

Danilo Ardagna Italy

Dong Yuan Australia

Marcos Dias de Assunção Brazil

Marin Litoiu Canada

Walter de Donato Italy

Edmundo R. M. Madeira Brazil

Jie Xu United Kingdom

Inderveer Chana

1.9k ×0.8

CNC

1.6k ×0.7

IS

503 ×1.1

AI

204 ×1.0

CVPR

289 ×1.5

EEE

Citations per year, relative to Inderveer Chana Inderveer Chana (= 1×) peers Jie Xu

Countries citing papers authored by Inderveer Chana

Since Specialization

Citations

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

Fields of papers citing papers by Inderveer Chana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inderveer Chana

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Chana, Inderveer, et al.. (2024). An autoscalable approach to optimize energy consumption using smart meters data in serverless computing. SHILAP Revista de lepidopterología. 79. 83–83.

2.

Verma, Kanupriya, Inderveer Chana, & Raman Kumar Goyal. (2024). Computation offloading techniques in edge computing: A systematic review based on energy, QoS and authentication. Concurrency and Computation Practice and Experience. 36(13). 8 indexed citations

3.

Kaur, Parampreet, Ashima Singh, & Inderveer Chana. (2023). OmicPredict: a framework for omics data prediction using ANOVA-Firefly algorithm for feature selection. Computer Methods in Biomechanics & Biomedical Engineering. 27(14). 1–14. 1 indexed citations

4.

Chana, Inderveer, et al.. (2022). Exploring diet associations with Covid-19 and other diseases: a Network Analysis–based approach. Medical & Biological Engineering & Computing. 60(4). 991–1013. 6 indexed citations

5.

Kaur, Parampreet, Ashima Singh, & Inderveer Chana. (2022). BSense: A parallel Bayesian hyperparameter optimized Stacked ensemble model for breast cancer survival prediction. Journal of Computational Science. 60. 101570–101570. 23 indexed citations

6.

Chana, Inderveer, et al.. (2020). Network Analysis as a Computational Technique and Its Benefaction for Predictive Analysis of Healthcare Data: A Systematic Review. Archives of Computational Methods in Engineering. 28(3). 1689–1711. 5 indexed citations

7.

Gill, Sukhpal Singh, Inderveer Chana, & Rajkumar Buyya. (2017). IoT Based Agriculture as a Cloud and Big Data Service. Journal of Organizational and End User Computing. 29(4). 1–23. 70 indexed citations

8.

Chana, Inderveer, et al.. (2016). Cloud-based automatic test data generation framework. Journal of Computer and System Sciences. 82(5). 712–738. 20 indexed citations

9.

Kaur, Tarandeep & Inderveer Chana. (2016). Energy aware scheduling of deadline-constrained tasks in cloud computing. Cluster Computing. 19(2). 679–698. 32 indexed citations

10.

Singh, Sukhpal & Inderveer Chana. (2015). QoS based Machine Learning Algorithms for Clustering of Cloud Workloads: A Review. 3(1). 13–24. 1 indexed citations

11.

Chana, Inderveer, et al.. (2015). Day-ahead Pricing Model for Smart Cloud using Time Dependent Pricing. International Journal of Computer Network and Information Security. 7(11). 9–19. 2 indexed citations

12.

Singh, Sukhpal, et al.. (2015). Research Methodology: A Practitioner Approach. i-manager’s Journal on English Language Teaching. 5(4). 27–38.

13.

Chana, Inderveer, et al.. (2015). A novel strategy for automatic test data generation using soft computing technique. Frontiers of Computer Science. 9(3). 346–363. 24 indexed citations

14.

Chana, Inderveer, et al.. (2015). Modernization of Legacy Systems. 62–67. 4 indexed citations

15.

Chana, Inderveer, et al.. (2014). Energy Efficient and High Performance Scheduling Algorithm for Grid Computing. IEEE International Conference on Cloud Computing Technology and Science. 3(3). 179–188. 1 indexed citations

16.

Rathore, Neeraj Kumar & Inderveer Chana. (2014). Job migration with fault tolerance based QoS scheduling using hash table functionality in social Grid computing. Journal of Intelligent & Fuzzy Systems. 27(6). 2821–2833. 27 indexed citations

17.

Singh, Sukhpal & Inderveer Chana. (2014). QRSF: QoS-aware resource scheduling framework in cloud computing. The Journal of Supercomputing. 71(1). 241–292. 94 indexed citations

18.

Kaur, Pankaj Deep & Inderveer Chana. (2013). Cloud based intelligent system for delivering health care as a service. Computer Methods and Programs in Biomedicine. 113(1). 346–359. 106 indexed citations

19.

Rathore, Neeraj Kumar & Inderveer Chana. (2013). Report on Hierarchical Load Balancing Technique in Grid Environment. 2(4). 26–40. 9 indexed citations

20.

Sandhu, Rajinder & Inderveer Chana. (2013). Securing Virtual Machine in Cloud Enviroment using OVF and Hashing Function.

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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