Amit Chhabra

1.8k total citations · 1 hit paper
74 papers, 997 citations indexed

About

Amit Chhabra is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Amit Chhabra has authored 74 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 38 papers in Information Systems and 32 papers in Artificial Intelligence. Recurrent topics in Amit Chhabra's work include Cloud Computing and Resource Management (32 papers), Distributed and Parallel Computing Systems (22 papers) and Metaheuristic Optimization Algorithms Research (20 papers). Amit Chhabra is often cited by papers focused on Cloud Computing and Resource Management (32 papers), Distributed and Parallel Computing Systems (22 papers) and Metaheuristic Optimization Algorithms Research (20 papers). Amit Chhabra collaborates with scholars based in India, Serbia and Tunisia. Amit Chhabra's co-authors include Gaganjot Kaur, Nebojša Bačanin, Fatma A. Hashim, Abdelazim G. Hussien, Gurvinder Singh, Miodrag Živković, Ghaith Manita, Ouajdi Korbaa, Karanjeet Singh Kahlon and Jaswinder Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Applied Soft Computing.

In The Last Decade

Amit Chhabra

70 papers receiving 908 citations

Hit Papers

A Halton enhanced solution-based Human Evolutionary Algor... 2025 2026 2025 5 10 15

Peers

Amit Chhabra
Comparison fields: 5 of 107
  • Artificial Intelligence 411
  • Computer Networks and Communications 340
  • Information Systems 299
  • Electrical and Electronic Engineering 139
  • Computer Vision and Pattern Recognition 112
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Citations per field, relative to Amit Chhabra
Amit Chhabra · 1×
Citations per year, relative to Amit Chhabra
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Countries citing papers authored by Amit Chhabra

Since Specialization
Citations

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

Fields of papers citing papers by Amit Chhabra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Chhabra

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Chhabra. A scholar is included among the top collaborators of Amit Chhabra 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 Amit Chhabra. Amit Chhabra 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
# Work Indexed citations
1
A Halton enhanced solution-based Human Evolutionary Algorithm for complex optimization and advanced feature selection problems breakdown →
19
2 14
3 4
4 16
5 3
6 29
7 35
8 24
9 3
10 5
11 49
12 9
13 34
14 10
15 0
16 1
17 3
18 1
19
Improved Genetic Algorithm (IGA) for Scheduling Task Graphs in Multiprocessor Systems
1
20
Knowledge-Based Modeling Approach for Performance Measurement of Parallel Systems
2

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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