D. Manjula

757 total citations · 1 hit paper
28 papers, 500 citations indexed

About

D. Manjula is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, D. Manjula has authored 28 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in D. Manjula's work include Advanced Image and Video Retrieval Techniques (9 papers), Video Surveillance and Tracking Methods (6 papers) and Image Retrieval and Classification Techniques (6 papers). D. Manjula is often cited by papers focused on Advanced Image and Video Retrieval Techniques (9 papers), Video Surveillance and Tracking Methods (6 papers) and Image Retrieval and Classification Techniques (6 papers). D. Manjula collaborates with scholars based in India and United States. D. Manjula's co-authors include Vijayan Sugumaran, A. R. Arunarani, S. Abirami, S. Chitrakala, Bharath Ramesh, M. Subramaniam, A. Kannan, R. Krishnamoorthy, Muhammad Rukunuddin Ghalib and T. J. Nagalakshmi and has published in prestigious journals such as Future Generation Computer Systems, Journal of Biomedical Informatics and Journal of Medical Systems.

In The Last Decade

D. Manjula

28 papers receiving 470 citations

Hit Papers

Task scheduling techniques in cloud computing: A literatu... 2018 2026 2020 2023 2018 100 200 300
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. Task scheduling techniques in cloud computing: A literature survey
    2018 338 citations A. R. Arunarani, D. Manjula et al. Future Generation Computer Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Manjula India 9 318 316 105 78 23 28 500
Ayaz Ali Khan Pakistan 15 345 1.1× 245 0.8× 95 0.9× 66 0.8× 63 2.7× 27 498
Haruo Yokota Japan 14 314 1.0× 188 0.6× 216 2.1× 85 1.1× 26 1.1× 107 546
Mohsine Eleuldj Morocco 5 304 1.0× 242 0.8× 64 0.6× 30 0.4× 34 1.5× 15 404
Kyong-Ha Lee South Korea 6 287 0.9× 292 0.9× 138 1.3× 90 1.2× 12 0.5× 28 445
Reza Farivar United States 9 214 0.7× 201 0.6× 186 1.8× 90 1.2× 29 1.3× 16 428
Ruslan Dautov United States 6 134 0.4× 116 0.4× 118 1.1× 63 0.8× 47 2.0× 12 354
Alexandru Costan France 12 361 1.1× 270 0.9× 133 1.3× 31 0.4× 20 0.9× 53 519
Ashraf B. El-Sisi Egypt 9 370 1.2× 317 1.0× 152 1.4× 30 0.4× 19 0.8× 45 497
Chuanyi Liu China 11 257 0.8× 265 0.8× 159 1.5× 43 0.6× 31 1.3× 62 449

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-authorship network of co-authors of D. Manjula

This figure shows the co-authorship network connecting the top 25 collaborators of D. Manjula. A scholar is included among the top collaborators of D. Manjula 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 D. Manjula. D. Manjula 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.
Nagalakshmi, T. J., et al.. (2024). Integrating Convolutional and Recurrent Networks for Image Caption Generation: A Unified Approach. 1–5. 1 indexed citations
2.
Manjula, D., et al.. (2023). Extraction of knowledge graph of Covid-19 through mining of unstructured biomedical corpora. Computational Biology and Chemistry. 102. 107808–107808. 8 indexed citations
3.
Manjula, D., et al.. (2022). Multi-Class Brain Disease Classification Using Modified Pre-Trained Convolutional Neural Networks Model with Substantial Data Augmentation. Journal of Medical Imaging and Health Informatics. 12(2). 168–183. 1 indexed citations
4.
Manjula, D., et al.. (2021). Skin Melanoma Classification System Using Deep Learning. Computers, materials & continua/Computers, materials & continua (Print). 68(1). 1147–1160. 11 indexed citations
5.
Manjula, D., et al.. (2020). Character level and word level embedding with bidirectional LSTM – Dynamic recurrent neural network for biomedical named entity recognition from literature. Journal of Biomedical Informatics. 112. 103609–103609. 36 indexed citations
6.
Arunarani, A. R., et al.. (2020). An efficient algorithm for identifying (ℓ, d) motif from huge DNA datasets. Journal of Ambient Intelligence and Humanized Computing. 12(1). 485–495. 4 indexed citations
7.
Manjula, D., et al.. (2018). Categorization of Images Using Autoencoder Hashing and Training of Intra Bin Classifiers for Image Classification and Annotation. Journal of Medical Systems. 42(7). 132–132. 2 indexed citations
8.
Arunarani, A. R., D. Manjula, & Vijayan Sugumaran. (2018). Task scheduling techniques in cloud computing: A literature survey. Future Generation Computer Systems. 91. 407–415. 338 indexed citations breakdown →
9.
Manjula, D., et al.. (2015). CIMIDx: Prototype for a Cloud-Based System to Support Intelligent Medical Image Diagnosis With Efficiency. JMIR Medical Informatics. 3(1). e12–e12. 5 indexed citations
10.
Subramaniam, M. & D. Manjula. (2012). Multipath state aware concurrent multipath transfer using redundant transmission for multi-homed hosts. International Journal of Internet Protocol Technology. 7(2). 120–120. 1 indexed citations
11.
Manjula, D., et al.. (2011). Performance analysis of fuzzy logic-based background subtraction in dynamic environments. The Imaging Science Journal. 60(1). 39–46. 3 indexed citations
12.
Manjula, D., et al.. (2011). Background extraction using improved mode algorithm for visual surveillance applications. International Journal of Computational Science and Engineering. 6(4). 275–275. 1 indexed citations
13.
Manjula, D., et al.. (2010). Fuzzy Rule-based Classification of Human Tracking and Segmentation using Color Space Conversion. International Journal of Artificial Intelligence & Applications. 1(4). 70–80. 2 indexed citations
14.
Manjula, D.. (2010). Human Tracking and Segmentation using Color Space Conversion. 1 indexed citations
15.
Manjula, D., et al.. (2010). Adaptive background subtraction using fuzzy logic. 1(4). 392–392. 2 indexed citations
16.
Manjula, D., et al.. (2010). Statistical modeling for the detection, localization and extraction of text from heterogeneous textual images using combined feature scheme. Signal Image and Video Processing. 5(2). 165–183. 8 indexed citations
17.
Manjula, D., et al.. (2009). Multi Level Feature Priority algorithm based text extraction from heterogeneous and hybrid textual images. International Journal of Signal and Imaging Systems Engineering. 2(4). 183–183. 2 indexed citations
18.
Ghalib, Muhammad Rukunuddin, et al.. (2009). A pioneering Cryptic Random Projection based approach for privacy preserving data mining. 2. 437–439. 1 indexed citations
19.
Chitrakala, S., et al.. (2009). Multi-class Enhanced Image Mining of Heterogeneous Textual Images Using Multiple Image Features. 496–501. 8 indexed citations
20.
Ramesh, Bharath & D. Manjula. (2007). An Adaptive Congestion Control Mechanism for Streaming Multimedia in Mobile Ad-hoc Networks. 6 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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