D. Manjula

757 citations
28 papers · 500 · 1 hit paper · h-index 9

Impact in

Papers in

D. Manjula

28 papers receiving 470 citations

D. Manjula's Hit Papers

Task scheduling techniques in cloud computing: A literature survey 2018 · 338 citations
3380+2+5Years since publication100200300

Peers

D. Manjula
Comparison fields: 5 of 64
  • Information Systems 316
  • Computer Networks and Communications 318
  • Computer Vision and Pattern Recognition 78
  • Artificial Intelligence 105
  • Hardware and Architecture 20
Replace Ayaz Ali Khan with:
Ayaz Ali Khan Pakistan
Im-Yeong Lee South Korea
Ruslan Dautov United States
Djamel Eddine Kouicem France
Kyong-Ha Lee South Korea
Haruo Yokota Japan
Mohsine Eleuldj Morocco
Reza Farivar United States
Rasool Asal United Arab Emirates
Weijia Song United States
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Citations per year

Countries citing papers authored by D. Manjula

Since Specialization
Citations

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

Fields of papers citing papers by D. Manjula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside D. Manjula, 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 D. Manjula Line = papers co-authored together D. Manjula links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Task scheduling techniques in cloud computing: A literature survey
Hit paper breakdown →
2018338
2 202036
3 201726
4
An Efficient Foreground Detection Algorithm for Visual Surveillance System
200912
5 202111
6 20238
7 20098
8 20098
9 20108
10
An Adaptive Congestion Control Mechanism for Streaming Multimedia in Mobile Ad-hoc Networks
20076
11 20155
12 20185
13 20204
14 20113
15 20073
16 20182
17 20102
18 20102
19 20092
20 20162

About D. Manjula

D. Manjula is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Molecular Biology and Information Systems, having authored 28 papers that have together received 500 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Image Retrieval and Classification Techniques (6 papers), Video Surveillance and Tracking Methods (6 papers), Handwritten Text Recognition Techniques (4 papers), Machine Learning in Bioinformatics (3 papers), Infrared Target Detection Methodologies (3 papers), Distributed and Parallel Computing Systems (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Information Systems (316 citations), Computer Networks and Communications (318 citations), Computer Vision and Pattern Recognition (78 citations), Artificial Intelligence (105 citations) and Hardware and Architecture (20 citations). D. Manjula has collaborated with scholars based in India and United States. Frequent co-authors include Vijayan Sugumaran, A. R. Arunarani, S. Abirami, Bharath Ramesh, S. Chitrakala, R. Krishnamoorthy, M. Subramaniam, A. Kannan, Muhammad Rukunuddin Ghalib and T. J. Nagalakshmi. Their work appears in journals such as Journal of Ambient Intelligence and Humanized Computing, The Imaging Science Journal, Journal of Medical Systems, Journal of Biomedical Informatics and Computers, materials & continua/Computers, materials & continua (Print).

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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