Ravin Ahuja

582 total citations
12 papers, 72 citations indexed

About

Ravin Ahuja is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Ravin Ahuja has authored 12 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 6 papers in Computer Networks and Communications and 4 papers in Artificial Intelligence. Recurrent topics in Ravin Ahuja's work include Cloud Computing and Resource Management (4 papers), Distributed and Parallel Computing Systems (4 papers) and Peer-to-Peer Network Technologies (2 papers). Ravin Ahuja is often cited by papers focused on Cloud Computing and Resource Management (4 papers), Distributed and Parallel Computing Systems (4 papers) and Peer-to-Peer Network Technologies (2 papers). Ravin Ahuja collaborates with scholars based in India, Nigeria and Norway. Ravin Ahuja's co-authors include Isaac Odun-Ayo, Olasupo Ajayi, Sanjay Misra, Асок Де, Robertas Damaševičius, Modupe Odusami, Ambrose Azeta, Emmanuel Adetiba, Olusola Abayomi‐Alli and Murat Koyuncu and has published in prestigious journals such as Lecture notes in computer science, Sadhana and Transactions on Emerging Telecommunications Technologies.

In The Last Decade

Ravin Ahuja

12 papers receiving 63 citations

Peers

Ravin Ahuja

CNC

IS

AI

SP

CVPR

Andrew Regenscheid United States

Andreas Pashalidis Belgium

Lucjan Hanzlik Germany

Meghna Manoj Nair India

Muyideen AbdulRaheem Nigeria

Quynh Dang United States

Florian Kohlar Germany

Mikal Ziane France

Yvonne Hitchcock Australia

Uri Blumenthal United States

Andrew Regenscheid United States

Ravin Ahuja

24 ×0.6

CNC

34 ×1.0

IS

54 ×1.6

AI

12 ×0.8

SP

11 ×1.4

CVPR

Citations per year, relative to Ravin Ahuja Ravin Ahuja (= 1×) peers Andrew Regenscheid

Countries citing papers authored by Ravin Ahuja

Since Specialization

Citations

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

Fields of papers citing papers by Ravin Ahuja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravin Ahuja

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

All Works

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12 of 12 papers shown

1.

Azeta, Ambrose, et al.. (2022). Trustworthy Machine Learning Approaches for Cyberattack Detection: A Review. Lecture notes in computer science. 265–278. 3 indexed citations

2.

Noma‐Osaghae, Etinosa, Sanjay Misra, Ravin Ahuja, & Murat Koyuncu. (2022). Particle swarm optimization of the spectral and energy efficiency of an SCMA‐based heterogeneous cellular network. Transactions on Emerging Telecommunications Technologies. 33(9). 3 indexed citations

3.

Misra, Sanjay, et al.. (2022). A Comparative Study on the Application of Text Mining in Cybersecurity. Recent Advances in Computer Science and Communications. 16(3). 2 indexed citations

4.

Azeta, Ambrose, et al.. (2020). A Machine Learning Prediction of Automatic Text Based Assessment for Open and Distance Learning: A Review. Advances in intelligent systems and computing. 369–380. 5 indexed citations

5.

Misra, Sanjay, et al.. (2019). Design and implementation of a mobile webcast application with google analytics and cloud messaging functionality. Journal of Physics Conference Series. 1235(1). 12023–12023. 3 indexed citations

6.

Odusami, Modupe, Sanjay Misra, Emmanuel Adetiba, et al.. (2019). An Improved Model for Alleviating Layer Seven Distributed Denial of Service Intrusion on Webserver. Journal of Physics Conference Series. 1235(1). 12020–12020. 13 indexed citations

7.

Odun-Ayo, Isaac, et al.. (2017). An Overview of Data Storage in Cloud Computing. 29–34. 26 indexed citations

8.

Ahuja, Ravin, et al.. (2011). SLA Based Scheduler for Cloud for Storage & Computational Services. 258–262. 8 indexed citations

9.

Ahuja, Ravin, et al.. (2010). An Economy Based Storage Grid Federation with a Decentralized Scheduling Technique. 4749. 255–260. 1 indexed citations

10.

Ahuja, Ravin, et al.. (2009). A dynamic priority metascheduler for an SLA-based storage grid. 50. 116–123. 1 indexed citations

11.

Ahuja, Ravin, et al.. (2009). Negotiation based advance reservation priority grid scheduler with a penal clause for execution failures. 50. 522–530. 2 indexed citations

12.

Ahuja, Ravin, et al.. (1998). A feature-based hierarchical speech recognition system for Hindi. Sadhana. 23(4). 313–340. 5 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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