This map shows the geographic impact of Mita Nasipuri'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 Mita Nasipuri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mita Nasipuri more than expected).
This network shows the impact of papers produced by Mita Nasipuri. 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 Mita Nasipuri. The network helps show where Mita Nasipuri may publish in the future.
Co-authorship network of co-authors of Mita Nasipuri
This figure shows the co-authorship network connecting the top 25 collaborators of Mita Nasipuri.
A scholar is included among the top collaborators of Mita Nasipuri 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 Mita Nasipuri. Mita Nasipuri is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bhattacharjee, Debotosh, et al.. (2012). A novel approach for registration of 3D face images. IEEE-International Conference On Advances In Engineering, Science And Management. 1–7.2 indexed citations
10.
Sarkar, Ram, et al.. (2011). Word extraction from unconstrained handwritten Bangla document images using Spiral Run Length Smearing Algorithm.. Indian International Conference on Artificial Intelligence. 32–46.3 indexed citations
11.
Malakar, Samir, et al.. (2011). An improved offline handwritten character segmentation algorithm for Bangla script.. Indian International Conference on Artificial Intelligence. 71–90.10 indexed citations
12.
Arora, Sandhya, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu, & Mahantapas Kundu. (2011). Complementary Features Combined in a MLP-based System to Recognize Handwritten Devnagari Character.. J. Inf. Hiding Multim. Signal Process.. 2.6 indexed citations
13.
Sarkar, Ram, Subhadip Basu, Nibaran Das, et al.. (2009). Line Extraction from Unconstraint Handwritten Document Pages using Piece-wise Water-flow Technique.. Indian International Conference on Artificial Intelligence. 1861–1872.4 indexed citations
14.
Das, Nibaran, Subhadip Basu, Ram Sarkar, Mahantapas Kundu, & Mita Nasipuri. (2009). Handwritten Bangla Compound character recognition: Potential challenges and probable solution.. Indian International Conference on Artificial Intelligence. 1901–1913.12 indexed citations
15.
Garain, Utpal, et al.. (2007). On construction of a GeometryNet. 530–536.6 indexed citations
16.
Roy, Kaushik, et al.. (2005). Comparison of the Multi Layer Perceptron and the Nearest Neighbor Classifier for Handwritten Numeral Recognition. Journal of information science and engineering. 21(6). 1247–1259.9 indexed citations
17.
Basu, Subhadip, Nibaran Das, Ram Sarkar, et al.. (2005). An MLP based Approach for Recognition of Handwritten 'Bangla' Numerals. arXiv (Cornell University). 407–417.17 indexed citations
18.
Sing, Jamuna Kanta, D. Basu, Mita Nasipuri, & Mahantapas Kundu. (2004). Center selection of RBF neural network based on modified k-means algorithm with point symmetry distance measure. Foundations of Computing and Decision Sciences. 247–266.4 indexed citations
19.
Nasipuri, Mita, et al.. (1997). A New Microprocessor Based on Line Arrhythmia Diagnostic System. 1187–1191.2 indexed citations
20.
Nasipuri, Mita, et al.. (1987). Microprocessor Based Real-Time Monitoring of Multiple ECG Signals. PubMed Central. 11. 822–827.2 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.