Parashjyoti Borah

467 citations
15 papers · 307 indexed · h-index 10
Topics
Face and Expression Recognition (12 papers)Machine Learning and ELM (7 papers)Advanced Algorithms and Applications (4 papers)
Partner nations
IndiaAustralia

In The Last Decade

Parashjyoti Borah

15 papers receiving 305 citations

Peers

Parashjyoti Borah
Comparison fields: 5 of 73
  • Artificial Intelligence 197
  • Computer Vision and Pattern Recognition 154
  • Control and Systems Engineering 61
  • Electrical and Electronic Engineering 26
  • Analytical Chemistry 24
Replace Jigui Sun with:
Jigui Sun China
Ashok Sharma India
T. Kathirvalavakumar India
S. Ramathilagam India
Ruliang Xiao China
Farid Ghareh Mohammadi United States
Inzamam Mashood Nasir Pakistan
V. Susheela Devi India
Silvia Cateni Italy
Shenkai Gu United Kingdom
Parashjyoti Borah relative to Jigui Sun China Jigui Sun's profile →
Citations per field
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Citations per year

Countries citing papers authored by Parashjyoti Borah

Since Specialization
Citations

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

Fields of papers citing papers by Parashjyoti Borah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parashjyoti Borah

This figure shows the co-authorship network connecting the top 25 collaborators of Parashjyoti Borah. A scholar is included among the top collaborators of Parashjyoti Borah 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 Parashjyoti Borah. Parashjyoti Borah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 1
3 8
4 14
5 21
6 50
7 19
8 34
9 13
10 30
11 14
12 72
13 8
14 7
15 15

About Parashjyoti Borah

Parashjyoti Borah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, having authored 15 papers that have together received 307 indexed citations. Recurring topics across this work include Face and Expression Recognition (12 papers), Machine Learning and ELM (7 papers) and Advanced Algorithms and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (154 citations), Artificial Intelligence (197 citations) and Control and Systems Engineering (61 citations). Parashjyoti Borah has collaborated with scholars based in India and Australia. Frequent co-authors include Deepak Gupta, Barenya Bikash Hazarika, Bharat Richhariya, Mukesh Prasad, Usha Sharma and Deepak Gupta. Their work appears in journals such as Fuzzy Sets and Systems, Applied Soft Computing and Neural Computing and Applications.

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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