Raj Gaire

887 total citations · 1 hit paper
25 papers, 548 citations indexed

About

Raj Gaire is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Raj Gaire has authored 25 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 11 papers in Information Systems and 6 papers in Artificial Intelligence. Recurrent topics in Raj Gaire's work include IoT and Edge/Fog Computing (6 papers), Cloud Computing and Resource Management (6 papers) and Advanced Malware Detection Techniques (4 papers). Raj Gaire is often cited by papers focused on IoT and Edge/Fog Computing (6 papers), Cloud Computing and Resource Management (6 papers) and Advanced Malware Detection Techniques (4 papers). Raj Gaire collaborates with scholars based in Australia, United Kingdom and China. Raj Gaire's co-authors include Mohammad Sadegh Aslanpour, Adel N. Toosi, Cécile Paris, Chen Wang, Sarvnaz Karimi, Alejandro Metke‐Jimenez, Bahman Javadi, Claudio Cicconetti, Marcos Dias de Assunção and ‪Surya Nepal‬ and has published in prestigious journals such as Bioinformatics, PLoS ONE and ACM Computing Surveys.

In The Last Decade

Raj Gaire

23 papers receiving 535 citations

Hit Papers

Serverless Edge Computing: Vision and Challenges 2021 2026 2022 2024 2021 40 80 120
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.

  1. Serverless Edge Computing: Vision and Challenges
    2021 133 citations Mohammad Sadegh Aslanpour, Adel N. Toosi et al. Queen Mary Research Online (Queen Mary University of London) profile →

Peers

Raj Gaire
K. V. Prema India
Sreeranga P. Rajan United States
Yaoqun Xu China
Tom Chothia United Kingdom
Behrouz Zolfaghari United States
Kiyoshi Akama Japan
Yungho Leu Taiwan
Xiaofei Nan China
K. V. Prema India
Raj Gaire
Citations per year, relative to Raj Gaire Raj Gaire (= 1×) peers K. V. Prema

Countries citing papers authored by Raj Gaire

Since Specialization
Citations

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

Fields of papers citing papers by Raj Gaire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raj Gaire

This figure shows the co-authorship network connecting the top 25 collaborators of Raj Gaire. A scholar is included among the top collaborators of Raj Gaire 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 Raj Gaire. Raj Gaire 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.
Decosta, Patrick L’Espoir, et al.. (2024). Conflict of interests? Negotiating superstructures for value co-creation at indigenous heritage sites – the case of Patan, Nepal. Asia Pacific Journal of Tourism Research. 30(3). 338–353. 1 indexed citations
2.
Wang, Shuo, Mahathir Almashor, Alsharif Abuadbba, et al.. (2023). DOITRUST: Dissecting On-chain Compromised Internet Domains via Graph Learning. 1 indexed citations
3.
Almashor, Mahathir, Muhammad Ejaz Ahmed, Alsharif Abuadbba, et al.. (2023). Unraveling Threat Intelligence Through the Lens of Malicious URL Campaigns. 78–86.
4.
5.
Abuadbba, Alsharif, et al.. (2022). Profiler: Distributed Model to Detect Phishing. 2 indexed citations
6.
Aslanpour, Mohammad Sadegh, Adel N. Toosi, Muhammad Aamir Cheema, & Raj Gaire. (2022). Energy-Aware Resource Scheduling for Serverless Edge Computing. 190–199. 35 indexed citations
7.
Babar, Muhammad Ali, et al.. (2022). Reliability and Robustness analysis of Machine Learning based Phishing URL Detectors. IEEE Transactions on Dependable and Secure Computing. 1–18. 8 indexed citations
8.
Grobler, Marthie, Raj Gaire, & ‪Surya Nepal‬. (2021). User, Usage and Usability: Redefining Human Centric Cyber Security. Frontiers in Big Data. 4. 583723–583723. 38 indexed citations
9.
Aslanpour, Mohammad Sadegh, Adel N. Toosi, Javid Taheri, & Raj Gaire. (2021). AutoScaleSim: A simulation toolkit for auto-scaling Web applications in clouds. Simulation Modelling Practice and Theory. 108. 102245–102245. 17 indexed citations
10.
Aslanpour, Mohammad Sadegh, Adel N. Toosi, Claudio Cicconetti, et al.. (2021). Serverless Edge Computing: Vision and Challenges. Queen Mary Research Online (Queen Mary University of London). 1–10. 133 indexed citations breakdown →
11.
Sakzad, Amin, et al.. (2020). Secrecy capacity against adaptive eavesdroppers in a random wireless network using friendly jammers and protected zone. Journal of Network and Computer Applications. 165. 102698–102698. 5 indexed citations
12.
Aslanpour, Mohammad Sadegh, Adel N. Toosi, Raj Gaire, & Muhammad Aamir Cheema. (2020). Auto-scaling of Web Applications in Clouds: A Tail Latency Evaluation. 186–195. 8 indexed citations
13.
Sakzad, Amin, et al.. (2020). Friendly Jammer against an Adaptive Eavesdropper in a Relay-aided Network. FedUni ResearchOnline (Federation University Australia). 1707–1712. 2 indexed citations
14.
Tanaka, Emi, Xi Li, Raj Gaire, et al.. (2017). Increased accuracy of starch granule type quantification using mixture distributions. Plant Methods. 13(1). 107–107. 6 indexed citations
15.
Khoshkbarforoushha, Alireza, Rajiv Ranjan, Raj Gaire, et al.. (2016). Distribution Based Workload Modelling of Continuous Queries in Clouds. IEEE Transactions on Emerging Topics in Computing. 5(1). 120–133. 39 indexed citations
16.
Karimi, Sarvnaz, Chen Wang, Alejandro Metke‐Jimenez, Raj Gaire, & Cécile Paris. (2015). Text and Data Mining Techniques in Adverse Drug Reaction Detection. ACM Computing Surveys. 47(4). 1–39. 93 indexed citations
17.
Gaire, Raj, Laurent Lefort, Michael Compton, et al.. (2013). Demonstration: Semantic web enabled smart farm with GSN. ANU Open Research (Australian National University). 1035. 41–44. 6 indexed citations
18.
Chung, Rosanna W. S., Alvin Kamili, Sally Tandy, et al.. (2013). Dietary Sphingomyelin Lowers Hepatic Lipid Levels and Inhibits Intestinal Cholesterol Absorption in High-Fat-Fed Mice. PLoS ONE. 8(2). e55949–e55949. 52 indexed citations
19.
Gaire, Raj, Lorey Smith, Patrick O. Humbert, et al.. (2013). Discovery and analysis of consistent active sub-networks in cancers. BMC Bioinformatics. 14(S2). S7–S7. 14 indexed citations
20.
Taylor, Kerry, Colin Griffith, Laurent Lefort, et al.. (2013). Farming the Web of Things. IEEE Intelligent Systems. 28(6). 12–19. 54 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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