Debashree Devi

574 citations
17 papers · 412 · h-index 10

Impact in

    • Artificial Intelligence in Healthcare
    • Imbalanced Data Classification Techniques
    • Anomaly Detection Techniques and Applications
    • Machine Learning and Data Classification
    • Text and Document Classification Technologies

Papers in

    • Imbalanced Data Classification Techniques 10
    • Anomaly Detection Techniques and Applications 4
    • Machine Learning and Data Classification 3
    • Neural Networks and Applications 2
    • Data Stream Mining Techniques 1
    • Electricity Theft Detection Techniques 7

Debashree Devi

15 papers receiving 398 citations

Peers

Debashree Devi
Comparison fields: 5 of 92
  • Health Information Management 44
  • Artificial Intelligence 291
  • Accounting 56
  • Business and International Management 8
  • Information Systems 63
Replace Tuanfei Zhu with:
Tuanfei Zhu China
Rosa María Valdovinos Rosas Mexico
Chenxi Li China
Bhagat Singh Raghuwanshi India
Shang Zheng China
Prabhjot Kaur India
Jose M. Moyano Spain
Yousef Abdi Iran
Sinem Kulluk Türkiye
Andres Folleco United States
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Citations per field
00.5×1.5×1.8×
Tuanfei Zhu · 1×
Citations per year

Countries citing papers authored by Debashree Devi

Since Specialization
Citations

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

Fields of papers citing papers by Debashree Devi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Debashree Devi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Debashree Devi Line = papers co-authored together Debashree Devi links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2016138
2 201950
3 202045
4 201843
5 202034
6 201925
7 201623
8 201821
9 202015
10 20219
11 20194
12 20242
13 20241
14 20201
15 20241
16 20250
17 20250

About Debashree Devi

Debashree Devi is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Accounting, Computer Networks and Communications and Information Systems, having authored 17 papers that have together received 412 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (10 papers), Electricity Theft Detection Techniques (7 papers), Financial Distress and Bankruptcy Prediction (4 papers), Anomaly Detection Techniques and Applications (4 papers), Machine Learning and Data Classification (3 papers), Neural Networks and Applications (2 papers), Data Stream Mining Techniques (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Health Information Management (44 citations), Artificial Intelligence (291 citations), Accounting (56 citations), Business and International Management (8 citations) and Information Systems (63 citations). Debashree Devi has collaborated with scholars based in India, Lebanon and United States. Frequent co-authors include Biswajit Purkayastha, Saroj Kr. Biswas, Manomita Chakraborty, Saroj Biswas, Seifedine Kadry, Suyel Namasudra, Sujit Kumar and Akhil Das. Their work appears in journals such as Soft Computing, Journal of Network and Computer Applications, International Journal of Data Warehousing and Mining, Pattern Recognition Letters and Journal of Organizational and End User Computing.

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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