Manoranjan Dash

9.8k total citations · 4 hit papers
68 papers, 5.8k citations indexed

About

Manoranjan Dash is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Manoranjan Dash has authored 68 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 17 papers in Signal Processing and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Manoranjan Dash's work include Data Management and Algorithms (14 papers), Data Mining Algorithms and Applications (10 papers) and Advanced Clustering Algorithms Research (10 papers). Manoranjan Dash is often cited by papers focused on Data Management and Algorithms (14 papers), Data Mining Algorithms and Applications (10 papers) and Advanced Clustering Algorithms Research (10 papers). Manoranjan Dash collaborates with scholars based in Singapore, India and United States. Manoranjan Dash's co-authors include Hua Liu, Huan Liu, Chew Lim Tan, Yew-Soon Ong, Zexuan Zhu, Peter Scheuermann, Keunho Choi, Jia Yao, Jianhua Yao and Shuai Tan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Gene.

In The Last Decade

Manoranjan Dash

64 papers receiving 5.4k citations

Hit Papers

Feature selection for classification 1997 2026 2006 2016 1997 1997 2003 2002 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manoranjan Dash Singapore 20 3.4k 1.5k 1.1k 921 793 68 5.8k
Pabitra Mitra India 35 2.5k 0.7× 1.6k 1.0× 1.0k 1.0× 613 0.7× 423 0.5× 186 5.4k
Charles X. Ling Canada 29 3.3k 1.0× 700 0.5× 1.2k 1.1× 665 0.7× 552 0.7× 131 5.7k
Rudy Setiono Singapore 32 3.4k 1.0× 887 0.6× 998 0.9× 843 0.9× 548 0.7× 90 5.4k
Julián Luengo Spain 31 6.3k 1.8× 1.4k 0.9× 1.1k 1.0× 964 1.0× 360 0.5× 80 8.7k
George H. John United States 10 4.2k 1.2× 2.0k 1.3× 1.2k 1.2× 637 0.7× 1.2k 1.6× 18 8.0k
Mark A. Hall New Zealand 12 2.3k 0.7× 999 0.7× 1.0k 1.0× 412 0.4× 915 1.2× 15 4.8k
Alex A. Freitas United Kingdom 43 4.9k 1.4× 739 0.5× 1.8k 1.7× 1.3k 1.4× 1.5k 1.9× 230 8.1k
Kristin P. Bennett United States 41 2.8k 0.8× 1.7k 1.1× 409 0.4× 701 0.8× 851 1.1× 138 6.3k
Marc K. Albert United States 14 3.1k 0.9× 1.0k 0.7× 1.1k 1.0× 380 0.4× 455 0.6× 26 5.4k

Countries citing papers authored by Manoranjan Dash

Since Specialization
Citations

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

Fields of papers citing papers by Manoranjan Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manoranjan Dash

This figure shows the co-authorship network connecting the top 25 collaborators of Manoranjan Dash. A scholar is included among the top collaborators of Manoranjan Dash 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 Manoranjan Dash. Manoranjan Dash 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
2.
Dutta, Tushar K., et al.. (2024). Induced knockdown of Mg-odr-1 and Mg-odr-3 perturbed the host seeking behavior of Meloidogyne graminicola in rice. Heliyon. 10(4). e26384–e26384. 1 indexed citations
4.
Dash, Manoranjan, et al.. (2021). Psoriasis Lesion Detection Using Hybrid Seeker Optimization-based Image Clustering. Current Medical Imaging Formerly Current Medical Imaging Reviews. 17(11). 1330–1339. 2 indexed citations
5.
Yang, Jianxi, Manoranjan Dash, & Sin G. Teo. (2021). PPTPF: Privacy-Preserving Trajectory Publication Framework for CDR Mobile Trajectories. ISPRS International Journal of Geo-Information. 10(4). 224–224. 6 indexed citations
6.
Somvanshi, Vishal Singh, Manoranjan Dash, Rohit Shukla, et al.. (2021). An improved draft genome assembly of Meloidogyne graminicola IARI strain using long-read sequencing. Gene. 793. 145748–145748. 9 indexed citations
7.
Dash, Manoranjan, et al.. (2021). A rice root-knot nematode Meloidogyne graminicola-resistant mutant rice line shows early expression of plant-defence genes. Planta. 253(5). 108–108. 13 indexed citations
8.
Dash, Manoranjan, et al.. (2020). A cascaded deep convolution neural network based CADx system for psoriasis lesion segmentation and severity assessment. Applied Soft Computing. 91. 106240–106240. 24 indexed citations
9.
Dash, Manoranjan, Narendra D. Londhe, Subhojit Ghosh, Vimal K. Shrivastava, & Rajendra S. Sonawane. (2020). Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis. Computational Biology and Chemistry. 86. 107247–107247. 22 indexed citations
10.
Dash, Manoranjan, et al.. (2017). An unusual case of spontaneous esophagopleural fistula. Lung India. 34(3). 287–287. 3 indexed citations
11.
Dash, Manoranjan, Tushar K. Dutta, Victor Phani, Pradeep K. Papolu, & Uma Rao. (2017). RNAi-mediated disruption of neuropeptide genes, nlp-3 and nlp-12 , cause multiple behavioral defects in Meloidogyne incognita. Biochemical and Biophysical Research Communications. 490(3). 933–940. 18 indexed citations
12.
Dash, Manoranjan, et al.. (2016). Visualize People's Mobility - Both individually and Collectively - Using Mobile Phone Cellular Data. 341–344. 5 indexed citations
13.
Dash, Manoranjan, et al.. (2015). Next place prediction by understanding mobility patterns. 469–474. 18 indexed citations
14.
Dash, Manoranjan, et al.. (2008). Graphics hardware based efficient and scalable fuzzy c -means clustering. 179–186. 21 indexed citations
15.
Xu, Min, et al.. (2005). EASIER Sampling for Audio Event Identification. 1214–1217. 2 indexed citations
16.
Liu, Huan, Lei Yu, Manoranjan Dash, & Hiroshi Motoda. (2003). Active feature selection using classes. Knowledge Discovery and Data Mining. 474–485. 11 indexed citations
17.
Dash, Manoranjan & Huan Liu. (2003). Consistency-based search in feature selection. Artificial Intelligence. 151(1-2). 155–176. 634 indexed citations breakdown →
18.
Liu, Huan, et al.. (2002). Discretization: An Enabling Technique. Data Mining and Knowledge Discovery. 6(4). 393–423. 616 indexed citations breakdown →
19.
Dash, Manoranjan, Kian‐Lee Tan, & Huan Liu. (2002). Efficient yet accurate clustering. 99–106. 3 indexed citations
20.
Dash, Manoranjan & Huan Liu. (1999). Handling Large Unsupervised Data via Dimensionality Reduction.. International Conference on Management of Data. 31 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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