Pushpendu Kar

502 citations
48 papers · 332 · h-index 11

Impact in

Papers in

Pushpendu Kar

45 papers receiving 321 citations

Peers

Pushpendu Kar
Comparison fields: 5 of 58
  • Computer Networks and Communications 185
  • Building and Construction 59
  • Electrical and Electronic Engineering 138
  • Health Informatics 3
  • Ocean Engineering 24
Replace Rafael Marín-Pérez with:
Rafael Marín-Pérez Spain
Preeja Pradeep India
Simone Brienza Italy
Chris Guy United Kingdom
Parag Kulkarni United Arab Emirates
Younghun Kim South Korea
R. Kanthavel Saudi Arabia
Ankur Kamthe United States
Carlos Henrique Barriquello Brazil
Kuan‐Wu Su Taiwan
Pushpendu Kar relative to Rafael Marín-Pérez Spain Rafael Marín-Pérez's profile →
Citations per field
00.5×3.4×
Rafael Marín-Pérez · 1×
Citations per year

Countries citing papers authored by Pushpendu Kar

Since Specialization
Citations

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

Fields of papers citing papers by Pushpendu Kar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pushpendu Kar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pushpendu Kar Line = papers co-authored together Pushpendu Kar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201941
2 201729
3 201428
4 201518
5 201615
6 202115
7 201514
8 201613
9 201712
10 201511
11 201411
12 201710
13 202210
14 201610
15 20229
16 20248
17 20247
18 20217
19 20216
20 20226

About Pushpendu Kar

Pushpendu Kar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Computer Vision and Pattern Recognition and Building and Construction, having authored 48 papers that have together received 332 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (13 papers), Caching and Content Delivery (10 papers), Energy Harvesting in Wireless Networks (8 papers), Opportunistic and Delay-Tolerant Networks (8 papers), Security in Wireless Sensor Networks (7 papers), Mobile Ad Hoc Networks (7 papers), IoT and Edge/Fog Computing (6 papers) and IoT-based Smart Home Systems (5 papers). The work is most often cited by research in Computer Networks and Communications (185 citations), Building and Construction (59 citations), Electrical and Electronic Engineering (138 citations), Health Informatics (3 citations) and Ocean Engineering (24 citations). Pushpendu Kar has collaborated with scholars based in China, India and Singapore. Frequent co-authors include Sudip Misra, Arijit Roy, Mohammad S. Obaidat, Arun Kumar, Sanjib Kumar Panda, Saeid Pourroostaei Ardakani, Hao Wang, David Chieng, Ayan Mondal and Jiayi Shi. Their work appears in journals such as IEEE Transactions on Network and Service Management, ACM Transactions on Autonomous and Adaptive Systems, IEEE Systems Journal, IEEE Communications Surveys & Tutorials and Neurocomputing.

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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