Abhinav Tomar

1.1k total citations · 1 hit paper
34 papers, 622 citations indexed

About

Abhinav Tomar is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Abhinav Tomar has authored 34 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 16 papers in Computer Networks and Communications and 7 papers in Information Systems. Recurrent topics in Abhinav Tomar's work include Energy Harvesting in Wireless Networks (15 papers), IoT and Edge/Fog Computing (11 papers) and Wireless Power Transfer Systems (11 papers). Abhinav Tomar is often cited by papers focused on Energy Harvesting in Wireless Networks (15 papers), IoT and Edge/Fog Computing (11 papers) and Wireless Power Transfer Systems (11 papers). Abhinav Tomar collaborates with scholars based in India and Ethiopia. Abhinav Tomar's co-authors include Prasanta K. Jana, Lalatendu Muduli, Abhishek Hazra, Amar Kaswan, Rakesh Ranjan Kumar, Mohammad Shameem, Indrajeet Gupta, Vipin Pal, Agarwal Ak and Geetanjali Rathee and has published in prestigious journals such as Expert Systems with Applications, IEEE Internet of Things Journal and Applied Soft Computing.

In The Last Decade

Abhinav Tomar

27 papers receiving 580 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.

Edge Computing for Industry 5.0: Fundamental, Applications, and Research Challenges

2024 91 citations Abhinav Tomar, Abhishek Hazra et al. IEEE Internet of Things Journal profile →

Peers

Abhinav Tomar

EEE

CNC

IS

AI

ME

Kyungryong Seo South Korea

Lijie Xu China

Taj Rahman Pakistan

Francesco Liberati Italy

Thant Zin Oo South Korea

Ou Zhao Japan

Alex Talevski Australia

Mohammed Balfaqih Saudi Arabia

B. S. Prabhu United States

M. Faheem Türkiye

Kyungryong Seo South Korea

Abhinav Tomar

193 ×0.5

EEE

174 ×0.6

CNC

119 ×1.9

IS

44 ×1.0

AI

18 ×0.5

ME

Citations per year, relative to Abhinav Tomar Abhinav Tomar (= 1×) peers Kyungryong Seo

Countries citing papers authored by Abhinav Tomar

Since Specialization

Citations

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

Fields of papers citing papers by Abhinav Tomar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhinav Tomar

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

All Works

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20 of 20 papers shown

1.

Rathee, Geetanjali, et al.. (2025). A distributed classification and prediction model using federated learning in healthcare. Knowledge and Information Systems. 67(11). 10065–10085.

2.

Tomar, Abhinav, et al.. (2025). EDABTOS: Energy-delay aware binary task offloading strategy of IoT devices in a fog-enabled architecture. Expert Systems with Applications. 290. 128354–128354.

3.

Tomar, Abhinav, et al.. (2025). Task offloading of IOT device in fog-enabled architecture using deep reinforcement learning approach. Pervasive and Mobile Computing. 112. 102067–102067. 1 indexed citations

4.

Tomar, Abhinav, et al.. (2025). Revolutionizing Wireless Rechargeable Sensor Networks: Speed Optimization-based Charging Scheduling Scheme (SOCSS) for efficient multi-node energy transfer. Swarm and Evolutionary Computation. 96. 101961–101961. 1 indexed citations

5.

Tomar, Abhinav, et al.. (2024). Intelligent Task Offloading in IoT Devices Using Deep Reinforcement Learning Approaches. 1–4. 6 indexed citations

6.

Tomar, Abhinav, et al.. (2024). Dynamic Charging Scheduling and Path Planning Scheme for Multiple MC-enabled On-demand Wireless Rechargeable Sensor Networks. Journal of Network and Computer Applications. 230. 103943–103943. 3 indexed citations

7.

Verma, Ayush, et al.. (2024). A Multilayered Trusted and Secure Surveillance with Frame Encoding, ML, and Hashgraph. 1–6.

8.

Singal, Gaurav, et al.. (2024). HydroPro: An IoT-Based Smart Water Bottle. 1–6.

9.

Tomar, Abhinav, et al.. (2024). From Connectivity to Intelligence: The Game-Changing Role of AI and IoT in Industry 5.0. IEEE Consumer Electronics Magazine. 14(5). 6–12. 7 indexed citations

10.

Tomar, Abhinav, et al.. (2024). Edge Computing for Industry 5.0: Fundamental, Applications, and Research Challenges. IEEE Internet of Things Journal. 11(11). 19070–19093. 91 indexed citations breakdown →

11.

Tomar, Abhinav, et al.. (2024). Edge Device Selection For Industrial IoT Task Offloading In Mobile Edge Computing. 1–4. 4 indexed citations

12.

Kumar, Rakesh Ranjan, et al.. (2022). OPTCLOUD: An Optimal Cloud Service Selection Framework Using QoS Correlation Lens. Computational Intelligence and Neuroscience. 2022. 1–16. 14 indexed citations

13.

Tomar, Abhinav, et al.. (2022). Optimal and Dynamic Scheduling using Multiple Mobile Chargers in Rechargeable Sensor Networks: An MADM-based Approach. 638–645. 2 indexed citations

14.

Tomar, Abhinav, Rakesh Ranjan Kumar, & Indrajeet Gupta. (2022). Decision making for cloud service selection: a novel and hybrid MCDM approach. Cluster Computing. 26(6). 3869–3887. 8 indexed citations

15.

Tomar, Abhinav, et al.. (2021). Multi-objective workflow scheduling scheme: a multi-criteria decision making approach. Journal of Ambient Intelligence and Humanized Computing. 12(12). 10789–10808. 23 indexed citations

16.

Jana, Prasanta K., et al.. (2021). Sustainable and Optimized Data Collection via Mobile Edge Computing for Disjoint Wireless Sensor Networks. IEEE Transactions on Sustainable Computing. 7(2). 471–484. 15 indexed citations

17.

Tomar, Abhinav, Lalatendu Muduli, & Prasanta K. Jana. (2020). A Fuzzy Logic-Based On-Demand Charging Algorithm for Wireless Rechargeable Sensor Networks With Multiple Chargers. IEEE Transactions on Mobile Computing. 20(9). 2715–2727. 87 indexed citations

18.

Tomar, Abhinav, et al.. (2020). Tour planning for multiple mobile sinks in wireless sensor networks: A shark smell optimization approach. Applied Soft Computing. 97. 106802–106802. 23 indexed citations

19.

Tomar, Abhinav, et al.. (2020). A novel scheme for employee churn problem using multi-attribute decision making approach and machine learning. Journal of Intelligent Information Systems. 56(2). 279–302. 37 indexed citations

20.

Tomar, Abhinav, et al.. (2020). An efficient partial charging scheme using multiple mobile chargers in wireless rechargeable sensor networks. Ad Hoc Networks. 113. 102407–102407. 35 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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