Ranjita Das

600 total citations
41 papers, 270 citations indexed

About

Ranjita Das is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Ranjita Das has authored 41 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Molecular Biology. Recurrent topics in Ranjita Das's work include Natural Language Processing Techniques (11 papers), Topic Modeling (10 papers) and Advanced Text Analysis Techniques (7 papers). Ranjita Das is often cited by papers focused on Natural Language Processing Techniques (11 papers), Topic Modeling (10 papers) and Advanced Text Analysis Techniques (7 papers). Ranjita Das collaborates with scholars based in India, Mexico and United Kingdom. Ranjita Das's co-authors include Partha Pakray, Sriparna Saha, Chitra Mandal, Bikas C. Pal, Sayantani Sarkar Bhattacharya, Suman Kumar Samanta, Alexander Gelbukh, Chhabinath Mandal, Vikrant Bhateja and Atin Kumar and has published in prestigious journals such as Cancer Letters, Journal of Chemical Information and Modeling and Image and Vision Computing.

In The Last Decade

Ranjita Das

38 papers receiving 255 citations

Peers

Ranjita Das
Comparison fields: 5 of 87
  • Artificial Intelligence 120
  • Computer Vision and Pattern Recognition 57
  • Molecular Biology 48
  • Computational Theory and Mathematics 28
  • Plant Science 18
Replace Y. Wei with:
Y. Wei China
M. Manohar India
Jialun Wu China
G. Kumaravelan India
Sijia Yang China
Hechen Wang United States
Robab Sheikhpour Iran
Atsushi Miyauchi Japan
Peiliang Zhang China
Y. Wei China View profile →
Citations per field, relative to Ranjita Das
Ranjita Das · 1×
Citations per year, relative to Ranjita Das
Ranjita Das · 1×

Countries citing papers authored by Ranjita Das

Since Specialization
Citations

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

Fields of papers citing papers by Ranjita Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ranjita Das

This figure shows the co-authorship network connecting the top 25 collaborators of Ranjita Das. A scholar is included among the top collaborators of Ranjita Das 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 Ranjita Das. Ranjita Das 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
# Work Indexed citations
1 1
2 3
3 1
4 1
5 9
6 2
7 1
8 0
9 19
10 4
11 1
12 14
13 2
14 8
15 0
16 2
17 17
18 5
19 0
20 51

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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