Dinesh Dash

1.5k total citations · 1 hit paper
54 papers, 936 citations indexed

About

Dinesh Dash is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dinesh Dash has authored 54 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Networks and Communications, 32 papers in Electrical and Electronic Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dinesh Dash's work include Energy Efficient Wireless Sensor Networks (26 papers), Energy Harvesting in Wireless Networks (25 papers) and IoT and Edge/Fog Computing (14 papers). Dinesh Dash is often cited by papers focused on Energy Efficient Wireless Sensor Networks (26 papers), Energy Harvesting in Wireless Networks (25 papers) and IoT and Edge/Fog Computing (14 papers). Dinesh Dash collaborates with scholars based in India, Taiwan and Saudi Arabia. Dinesh Dash's co-authors include Partha Pratim Ray, Debashis De, Neeraj Kumar, Khaled Salah, Naween Kumar, Mukesh Kumar, Nour Moustafa, Subhas C. Nandy, Arijit Bishnu and Arobinda Gupta and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Computer Networks and Journal of Network and Computer Applications.

In The Last Decade

Dinesh Dash

53 papers receiving 891 citations

Hit Papers

Blockchain for IoT-Based Healthcare: Background, Consensu... 2020 2026 2022 2024 2020 50 100 150 200
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. Blockchain for IoT-Based Healthcare: Background, Consensus, Platforms, and Use Cases
    2020 207 citations Partha Pratim Ray, Dinesh Dash et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dinesh Dash India 16 593 369 254 120 120 54 936
Yazdan Ahmad Qadri South Korea 9 526 0.9× 239 0.6× 246 1.0× 155 1.3× 168 1.4× 20 923
Alaa Awad Abdellatif Qatar 18 604 1.0× 360 1.0× 234 0.9× 360 3.0× 112 0.9× 44 1.1k
H. Anandakumar India 12 502 0.8× 325 0.9× 135 0.5× 91 0.8× 81 0.7× 41 756
Subarna Chatterjee India 11 667 1.1× 257 0.7× 238 0.9× 118 1.0× 40 0.3× 31 832
Guto Leoni Santos Brazil 13 371 0.6× 188 0.5× 140 0.6× 116 1.0× 114 0.9× 49 699
Abdul Ahad Pakistan 13 436 0.7× 212 0.6× 311 1.2× 110 0.9× 158 1.3× 45 868
Giuseppe Caliciuri Italy 6 398 0.7× 133 0.4× 135 0.5× 68 0.6× 101 0.8× 11 595
Farag Sallabi United Arab Emirates 14 531 0.9× 254 0.7× 300 1.2× 100 0.8× 89 0.7× 69 832
Anwesha Mukherjee India 18 749 1.3× 268 0.7× 462 1.8× 70 0.6× 72 0.6× 78 986
Surya Narayan Panda India 17 416 0.7× 234 0.6× 137 0.5× 143 1.2× 50 0.4× 82 874

Countries citing papers authored by Dinesh Dash

Since Specialization
Citations

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

Fields of papers citing papers by Dinesh Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dinesh Dash

This figure shows the co-authorship network connecting the top 25 collaborators of Dinesh Dash. A scholar is included among the top collaborators of Dinesh Dash 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 Dinesh Dash. Dinesh Dash 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.
Dash, Dinesh, et al.. (2023). Collaborative data gathering and recharging using multiple mobile vehicles in wireless rechargeable sensor network. International Journal of Communication Systems. 36(15). 4 indexed citations
2.
Kumar, Naween, et al.. (2023). Energy-efficient and delay-sensitive-based data gathering technique for multi-hop WSN using path-constraint mobile element. Wireless Networks. 30(1). 77–95. 6 indexed citations
3.
Dash, Dinesh, et al.. (2023). Genetic algorithm‐based partial charging schedule of rechargeable sensor networks. International Journal of Communication Systems. 36(9). 1 indexed citations
4.
Dash, Dinesh, et al.. (2023). Joint on-demand data gathering and recharging by multiple mobile vehicles in delay sensitive WRSN using variable length GA. Computer Communications. 204. 130–146. 7 indexed citations
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6.
Dash, Dinesh, et al.. (2023). An energy efficient periodic data gathering and charging schedule using MVs in wireless rechargeable sensor networks. Computing. 105(11). 2563–2593. 3 indexed citations
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Ray, Partha Pratim, Dinesh Dash, & Debashis De. (2019). A Systematic Review and Implementation of IoT-Based Pervasive Sensor-Enabled Tracking System for Dementia Patients. Journal of Medical Systems. 43(9). 287–287. 26 indexed citations
9.
Ray, Partha Pratim, Dinesh Dash, & Debashis De. (2019). Analysis and monitoring of IoT-assisted human physiological galvanic skin responsefactor for smart e-healthcare. Sensor Review. 39(4). 525–541. 21 indexed citations
10.
Dash, Dinesh, et al.. (2019). Efficient Smartphone-Based Human Activity Recognition Using Convolutional Neural Network. 307–312. 13 indexed citations
11.
Dash, Dinesh. (2018). Approximation algorithm for data gathering from mobile sensors. Pervasive and Mobile Computing. 46. 34–48. 13 indexed citations
12.
Kumar, Naween & Dinesh Dash. (2018). Mobile data sink‐based time‐constrained data collection from mobile sensors: a heuristic approach. IET Wireless Sensor Systems. 8(3). 129–135. 12 indexed citations
13.
Ray, Partha Pratim, Dinesh Dash, & Debashis De. (2017). A Systematic Review of Wearable Systems for Cancer Detection: Current State and Challenges. Journal of Medical Systems. 41(11). 180–180. 31 indexed citations
14.
Kumar, Naween & Dinesh Dash. (2017). Time-sensitive data collection with path-constrained mobile sink in WSN. 114–119. 5 indexed citations
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16.
Dash, Dinesh. (2016). Restoring Virtual Backbone of Wireless Sensor Network Using Position Restricted Relay Nodes. Procedia Computer Science. 92. 267–272. 1 indexed citations
17.
Dash, Dinesh, Arobinda Gupta, Arijit Bishnu, & Subhas C. Nandy. (2014). Line coverage measures in wireless sensor networks. Journal of Parallel and Distributed Computing. 74(7). 2596–2614. 8 indexed citations
18.
19.
Dash, Dinesh, Arijit Bishnu, Arobinda Gupta, & Subhas C. Nandy. (2012). Approximation algorithms for deployment of sensors for line segment coverage in wireless sensor networks. 1–10. 3 indexed citations
20.
Dash, Dinesh, Arobinda Gupta, & Arijit Bishnu. (2010). DYNAMIC MAINTENANCE OF SUPPORT COVERAGE IN SENSOR NETWORKS. Parallel Processing Letters. 20(2). 155–172. 1 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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