Omprakash Kaiwartya

6.4k citations
159 papers · 4.5k indexed · 1 hit paper · h-index 37
Topics
Vehicular Ad Hoc Networks (VANETs) (46 papers)IoT and Edge/Fog Computing (31 papers)Mobile Ad Hoc Networks (31 papers)

In The Last Decade

Omprakash Kaiwartya

155 papers receiving 4.4k citations

Hit Papers

Internet of Vehicles: Motivation, Layered Architecture, N...20162026201920222016100200300400500

Peers

Omprakash Kaiwartya
Comparison fields: 5 of 106
  • Computer Networks and Communications 2.7k
  • Electrical and Electronic Engineering 2.6k
  • Information Systems 855
  • Automotive Engineering 629
  • Artificial Intelligence 495
Replace Lian Zhao with:
Lian Zhao Canada
Kui Wu Canada
Abderrahim Benslimane France
Jalel Ben‐Othman France
Carla Fabiana Chiasserini Italy
Syed Hassan Ahmed United States
Miao Pan United States
Melike Erol‐Kantarci Canada
Alagan Anpalagan Canada
Zhengguo Sheng United Kingdom
Omprakash Kaiwartya relative to Lian Zhao Canada Lian Zhao's profile →
Citations per field
00.5×1.5×1.9×
Lian Zhao · 1×
Citations per year

Countries citing papers authored by Omprakash Kaiwartya

Since Specialization
Citations

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

Fields of papers citing papers by Omprakash Kaiwartya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omprakash Kaiwartya

This figure shows the co-authorship network connecting the top 25 collaborators of Omprakash Kaiwartya. A scholar is included among the top collaborators of Omprakash Kaiwartya 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 Omprakash Kaiwartya. Omprakash Kaiwartya 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
#WorkIndexed citations
1 0
2 12
3 0
4 3
5 1
6 4
7 2
8 8
9 16
10 18
11 35
12 59
13 49
14 9
15 7
16 153
17 15
18
Electric Vehicle Charging Recommendation and Enabling ICT Technologies: Recent Advances and Future Directions
9
19 8
20 45

About Omprakash Kaiwartya

Omprakash Kaiwartya is a scholar working on Computer Networks and Communications, Automotive Engineering and Electrical and Electronic Engineering, having authored 159 papers that have together received 4.5k indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (46 papers), IoT and Edge/Fog Computing (31 papers) and Mobile Ad Hoc Networks (31 papers). The work is most often cited by research in Computer Networks and Communications (2.7k citations), Automotive Engineering (629 citations) and Electrical and Electronic Engineering (2.6k citations). Omprakash Kaiwartya has collaborated with scholars based in United Kingdom, India and Malaysia. Frequent co-authors include Sushil Kumar, Abdul Hanan Abdullah, Yue Cao, Jaime Lloret, Mukesh Prasad, Ayman Altameem, Houbing Song, Xiulei Liu, Nauman Aslam and Chin‐Teng Lin. Their work appears in journals such as IEEE Access, IEEE Communications Magazine and Sensors.

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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