Ranbir Singh Batth

937 total citations
46 papers, 566 citations indexed

About

Ranbir Singh Batth is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Ranbir Singh Batth has authored 46 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Networks and Communications, 18 papers in Information Systems and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Ranbir Singh Batth's work include IoT and Edge/Fog Computing (13 papers), Cloud Computing and Resource Management (7 papers) and Vehicular Ad Hoc Networks (VANETs) (6 papers). Ranbir Singh Batth is often cited by papers focused on IoT and Edge/Fog Computing (13 papers), Cloud Computing and Resource Management (7 papers) and Vehicular Ad Hoc Networks (VANETs) (6 papers). Ranbir Singh Batth collaborates with scholars based in India, Australia and United Kingdom. Ranbir Singh Batth's co-authors include Avinash Kaur, Gagangeet Singh Aujla, Parminder Singh, Anand Nayyar, Amandeep Sandhu, Amandeep Nagpal, Peiying Zhang, Salil S. Kanhere, Rupert Ward and Chee Peng Lim and has published in prestigious journals such as IEEE Internet of Things Journal, IEEE Wireless Communications and Neural Computing and Applications.

In The Last Decade

Ranbir Singh Batth

45 papers receiving 547 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ranbir Singh Batth India 15 276 171 117 92 78 46 566
Sukant Kishoro Bisoy India 12 300 1.1× 198 1.2× 162 1.4× 93 1.0× 96 1.2× 52 638
Dan Tao China 13 305 1.1× 112 0.7× 87 0.7× 93 1.0× 185 2.4× 67 552
Jingling Yuan China 15 208 0.8× 205 1.2× 184 1.6× 150 1.6× 101 1.3× 102 671
Saraswathy Shamini Gunasekaran Malaysia 12 215 0.8× 104 0.6× 129 1.1× 105 1.1× 134 1.7× 53 543
Husnu S. Narman United States 12 292 1.1× 194 1.1× 126 1.1× 54 0.6× 137 1.8× 60 675
Omar Said Egypt 12 300 1.1× 139 0.8× 92 0.8× 57 0.6× 157 2.0× 38 484
Leonard Barolli Japan 15 447 1.6× 112 0.7× 118 1.0× 103 1.1× 191 2.4× 80 740
Rida Khatoun France 12 411 1.5× 197 1.2× 168 1.4× 70 0.8× 191 2.4× 41 675
Zhenqiang Mi China 12 318 1.2× 178 1.0× 67 0.6× 63 0.7× 56 0.7× 65 470
Hongbin Liang China 17 390 1.4× 200 1.2× 169 1.4× 52 0.6× 290 3.7× 53 749

Countries citing papers authored by Ranbir Singh Batth

Since Specialization
Citations

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

Fields of papers citing papers by Ranbir Singh Batth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ranbir Singh Batth. 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 Ranbir Singh Batth. The network helps show where Ranbir Singh Batth may publish in the future.

Co-authorship network of co-authors of Ranbir Singh Batth

This figure shows the co-authorship network connecting the top 25 collaborators of Ranbir Singh Batth. A scholar is included among the top collaborators of Ranbir Singh Batth 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 Ranbir Singh Batth. Ranbir Singh Batth 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.
Singh, Balraj, et al.. (2023). QMRNB: Design of an Efficient Q-Learning Model to Improve Routing Efficiency of UAV Networks via Bioinspired Optimizations. International Journal of Computer Networks And Applications. 10(2). 256–256. 4 indexed citations
2.
Singh, Amritpal, et al.. (2023). Health Monitoring and Diagnosis for Geo-Distributed Edge Ecosystem in Smart City. IEEE Internet of Things Journal. 10(21). 18571–18578. 10 indexed citations
3.
Batth, Ranbir Singh, et al.. (2022). BLOCKLIB: Blockchain enabled library resource sharing. Journal of Discrete Mathematical Sciences and Cryptography. 25(3). 839–857. 4 indexed citations
4.
Nayyar, Anand, et al.. (2022). Opportunistic Networks: Present Scenario- A Mirror Review. International Journal of Communication Networks and Information Security (IJCNIS). 10(1). 8 indexed citations
5.
Singh, Maninderpal, Gagangeet Singh Aujla, Rasmeet Singh Bali, et al.. (2022). CovaDel: a blockchain-enabled secure and QoS-aware drone delivery framework for COVID-like pandemics. Computing. 104(7). 1589–1613. 6 indexed citations
6.
Singh, Parminder, Avinash Kaur, Ranbir Singh Batth, Gagangeet Singh Aujla, & Mehedi Masud. (2021). Service Versus Protection: A Bayesian Learning Approach for Trust Provisioning in Edge of Things Environment. IEEE Internet of Things Journal. 9(22). 22061–22070. 14 indexed citations
7.
Sandhu, Amandeep & Ranbir Singh Batth. (2021). Integration of Artificial Intelligence into software reuse: An overview of Software Intelligence. 35. 357–362. 2 indexed citations
8.
Zhang, Peiying, et al.. (2021). Reinforcement Learning for Edge Device Selection Using Social Attribute Perception in Industry 4.0. IEEE Internet of Things Journal. 10(4). 2784–2792. 13 indexed citations
9.
Batth, Ranbir Singh, et al.. (2021). Unmanned Aerial vehicles (UAV) Path Planning Approaches. 76–82. 2 indexed citations
10.
Zhang, Peiying, Chao Wang, Gagangeet Singh Aujla, & Ranbir Singh Batth. (2021). ReLeDP: Reinforcement-Learning-Assisted Dynamic Pricing for Wireless Smart Grid. IEEE Wireless Communications. 28(6). 62–69. 7 indexed citations
11.
Singh, Parminder, Avinash Kaur, Ranbir Singh Batth, Sukhpreet Kaur, & Gabriele Gianini. (2021). Multi-disease big data analysis using beetle swarm optimization and an adaptive neuro-fuzzy inference system. Neural Computing and Applications. 33(16). 10403–10414. 26 indexed citations
12.
Sandhu, Amandeep & Ranbir Singh Batth. (2020). Software reuse analytics using integrated random forest and gradient boosting machine learning algorithm. Software Practice and Experience. 51(4). 735–747. 43 indexed citations
13.
Batth, Ranbir Singh, et al.. (2020). An Overview, Survey, and Challenges in UAVs Communication Network. 342–347. 14 indexed citations
14.
Singh, Parminder, Avinash Kaur, Gagangeet Singh Aujla, Ranbir Singh Batth, & Salil S. Kanhere. (2020). DaaS: Dew Computing as a Service for Intelligent Intrusion Detection in Edge-of-Things Ecosystem. IEEE Internet of Things Journal. 8(16). 12569–12577. 54 indexed citations
15.
Batth, Ranbir Singh, et al.. (2020). MRGM: An Adaptive Mechanism for Congestion Control in Smart Vehicular Network. 12(2). 15 indexed citations
16.
Batth, Ranbir Singh, et al.. (2020). Blockchain Technology for Higher Education Sytem: A Mirror Review. 348–353. 19 indexed citations
17.
Rafsanjani, Marjan Kuchaki, et al.. (2019). The Classification of Galaxy Images Using Neural Network Algorithm. 2 indexed citations
18.
Batth, Ranbir Singh, et al.. (2019). A Review on Fragmentation, Allocation and Replication in Distributed Database Systems. 538–544. 8 indexed citations
19.
Batth, Ranbir Singh, et al.. (2019). An Ontology of Digital Video Forensics: Classification, Research Gaps & Datasets. 485–491. 13 indexed citations
20.
Batth, Ranbir Singh, et al.. (2019). Comparative Study of TDMA-Based MAC Protocols in VANET: A Mirror Review. Advances in intelligent systems and computing. 107–123. 15 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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