Pradipta De

2.0k citations
85 papers · 1.5k · 1 hit paper · h-index 19

Impact in

Papers in

Pradipta De

82 papers receiving 1.5k citations

Pradipta De's Hit Papers

Server workload analysis for power minimization using consolidation 2009 · 302 citations
3020+5+11Years since publication100200300

Peers

Pradipta De
Comparison fields: 5 of 85
  • Computer Networks and Communications 945
  • Information Systems 475
  • Hardware and Architecture 137
  • Signal Processing 150
  • Experimental and Cognitive Psychology 158
Replace Andrius Auçinas with:
Andrius Auçinas United Kingdom
Alberto Huertas Celdrán Spain
Y. Charlie Hu United States
Zouheir Trabelsi United Arab Emirates
De-Nian Yang Taiwan
Zhanyong Tang China
David T. Nguyen United States
Ben Greenstein United States
Petko Georgiev United Kingdom
Pradipta De relative to Andrius Auçinas United Kingdom Andrius Auçinas's profile →
Citations per field
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Citations per year

Countries citing papers authored by Pradipta De

Since Specialization
Citations

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

Fields of papers citing papers by Pradipta De

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pradipta De, 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 Pradipta De Line = papers co-authored together Pradipta De links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Server workload analysis for power minimization using consolidation
Hit paper breakdown →
2009302
2 2015202
3 200597
4 201666
5 200662
6 200750
7 201849
8 200746
9 201942
10 200540
11 201737
12 201031
13 201925
14 201924
15 201724
16 201923
17 200622
18 201720
19 201518
20 200117

About Pradipta De

Pradipta De is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 85 papers that have together received 1.5k indexed citations. Recurring topics across this work include Caching and Content Delivery (18 papers), Emotion and Mood Recognition (13 papers), Cloud Computing and Resource Management (10 papers), Mental Health Research Topics (10 papers), Mobile Ad Hoc Networks (10 papers), Wireless Networks and Protocols (9 papers), Green IT and Sustainability (9 papers) and Image and Video Quality Assessment (8 papers). The work is most often cited by research in Computer Networks and Communications (945 citations), Information Systems (475 citations), Hardware and Architecture (137 citations), Signal Processing (150 citations) and Experimental and Cognitive Psychology (158 citations). Pradipta De has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Ravi Kothari, Gargi Dasgupta, Tapan K. Nayak, Akshat Verma, Niloy Ganguly, Ashish Raniwala, Bivas Mitra, Surjya Ghosh, Arani Bhattacharya and Tzi‐cker Chiueh. Their work appears in journals such as Journal of Network and Computer Applications, IEEE Communications Magazine, International Journal of Human-Computer Studies, IEEE Transactions on Affective Computing and Multimedia Tools and Applications.

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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