Anupam Basu

2.2k citations
145 papers · 1.4k indexed · h-index 20

Anupam Basu

127 papers receiving 1.2k citations

Peers

Anupam Basu
Comparison fields: 5 of 148
  • Artificial Intelligence 516
  • Information Systems 175
  • Human-Computer Interaction 156
  • Economics and Econometrics 137
  • Cognitive Neuroscience 126
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Countries citing papers authored by Anupam Basu

Since Specialization
Citations

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

Fields of papers citing papers by Anupam Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anupam Basu

This figure shows the co-authorship network connecting the top 25 collaborators of Anupam Basu. A scholar is included among the top collaborators of Anupam Basu 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 Anupam Basu. Anupam Basu 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
1 4
2
The professional and linguistic communities of early modern dramatists
0
3
Effect of Syntactic Features in Bangla Sentence Comprehension
1
4
Influence of Target Reader Background and Text Features on Text Readability in Bangla: A Computational Approach
2
5
Text Readability in Hindi: A Comparative Study of Feature Performances Using Support Vectors
1
6
Forward Transliteration of Dzongkha Text to Braille
4
7
Translations of Ambiguous Hindi Pronouns to Possible Bengali Pronouns
0
8
Repairing Bengali Verb Chunks for Improved Bengali to Hindi Machine Translation
0
9
Automatic Extraction of Compound Verbs from Bangla Corpora
1
10
A Hybrid Dependency Parser for Bangla
4
11
Ontology Based User Modeling for Personalized Information Access.
9
12
Resource Creation for Training and Testing of Transliteration Systems for Indian Languages
25
13
A Framework for Manual Ontology Engineering for Management of Learning Material Repository.
5
14
Prototype Machine Translation System From Text-To-Indian Sign Language
8
15 5
16
A Hybrid Model for Part-of-Speech Tagging and its Application to Bengali
30
17 1
18
Representation and Synthesis of Interface of a Circuit for its Reuse
0
19 5
20
Generalized Unimodular Loop Transformations for Distributed Memory Multiprocessors.
6

About Anupam Basu

Anupam Basu is a scholar working on Human-Computer Interaction, Human Factors and Ergonomics and Artificial Intelligence, having authored 145 papers that have together received 1.4k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (31 papers), Topic Modeling (19 papers) and Tactile and Sensory Interactions (12 papers). The work is most often cited by research in Human-Computer Interaction (156 citations), Human Factors and Ergonomics (46 citations) and Artificial Intelligence (516 citations). Anupam Basu has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Sudeshna Sarkar, Tirthankar Dasgupta, Monojit Choudhury, Tulsidas G. Shrivastav, Animesh Mukherjee, Sandipan Dandapat, Pabitra Mitra, Murat Â. Yülek, Dhaneshwar Ghura and Samit Bhattacharya. Their work appears in journals such as Analytical Biochemistry, Spine and The American Journal of Medicine.

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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