Manas Ranjan Senapati

833 citations
48 papers · 543 indexed · h-index 15
Topics
Neural Networks and Applications (10 papers)Image Retrieval and Classification Techniques (9 papers)Stock Market Forecasting Methods (9 papers)
Partner nations
IndiaCanadaEthiopia

In The Last Decade

Manas Ranjan Senapati

45 papers receiving 515 citations

Peers

Manas Ranjan Senapati
Comparison fields: 5 of 98
  • Artificial Intelligence 258
  • Computer Vision and Pattern Recognition 141
  • Radiology, Nuclear Medicine and Imaging 111
  • Electrical and Electronic Engineering 68
  • Management Science and Operations Research 57
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Citations per field
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Citations per year

Countries citing papers authored by Manas Ranjan Senapati

Since Specialization
Citations

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

Fields of papers citing papers by Manas Ranjan Senapati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manas Ranjan Senapati. 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 Manas Ranjan Senapati. The network helps show where Manas Ranjan Senapati may publish in the future.

Co-authorship network of co-authors of Manas Ranjan Senapati

This figure shows the co-authorship network connecting the top 25 collaborators of Manas Ranjan Senapati. A scholar is included among the top collaborators of Manas Ranjan Senapati 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 Manas Ranjan Senapati. Manas Ranjan Senapati 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
#WorkIndexed citations
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CYTOTOXICITY STUDY OF FICUS RELIGIOSA LEAF EXTRACT AGAINST JURKAT CELL LINE
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COMPARATIVE HISTOMORPHOLOGICAL STUDY ON THE THYMUS WITH REFERENCE TO ITS IMMUNOLOGICAL IMPORTANCE IN QUAIL, CHICKEN AND DUCK
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About Manas Ranjan Senapati

Manas Ranjan Senapati is a scholar working on Health Information Management, Artificial Intelligence and Management Science and Operations Research, having authored 48 papers that have together received 543 indexed citations. Recurring topics across this work include Neural Networks and Applications (10 papers), Image Retrieval and Classification Techniques (9 papers) and Stock Market Forecasting Methods (9 papers). The work is most often cited by research in Health Information Management (51 citations), Artificial Intelligence (258 citations) and Computer Vision and Pattern Recognition (141 citations). Manas Ranjan Senapati has collaborated with scholars based in India, Canada and Ethiopia. Frequent co-authors include Sonali Dash, Saroj Kumar Lenka, P.K. Dash, Monalisa Nayak, Soumya Ranjan Das, Urmila Bhanja, Sumita Mishra, A. K. Mohanty, Pramod K. Dash and Satyasis Mishra. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and International Journal of Radiation Oncology*Biology*Physics.

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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