Ashish Dutt

9 papers receiving 410 citations

Ashish Dutt's Hit Papers

A Systematic Review on Educational Data Mining 2017 · 322 citations
3220+3+6Years since publication100200300

Peers

Ashish Dutt
Comparison fields: 5 of 66
  • Computer Science Applications 324
  • Health Information Management 36
  • Health Informatics 9
  • Artificial Intelligence 175
  • Information Systems 114
Replace Kamal Uddin Sarker with:
Kamal Uddin Sarker Malaysia
Martin Drlík Slovakia
Najmi Ghani Haider Pakistan
Raheela Asif Pakistan
Diego Buenaño-Fernández Ecuador
Amirah Mohamed Shahiri Malaysia
Hendrik Thüs Germany
Drahomíra Herrmannová United States
Parneet Kaur India
Eloi Puertas Spain
Ashish Dutt relative to Kamal Uddin Sarker Malaysia Kamal Uddin Sarker's profile →
Citations per field
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Kamal Uddin Sarker · 1×
Citations per year

Countries citing papers authored by Ashish Dutt

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Dutt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Ashish Dutt, 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 Ashish Dutt Line = papers co-authored together Ashish Dutt links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
A Systematic Review on Educational Data Mining
Hit paper breakdown →
2017322
2 201473
3 201917
4 20228
5 20228
6 20152
7 20142
8 20241
9 20201
10 20250

About Ashish Dutt

Ashish Dutt is a scholar working on Computer Science Applications, Artificial Intelligence, Information Systems, Molecular Biology and Health Information Management, having authored 10 papers that have together received 434 indexed citations. Recurring topics across this work include Online Learning and Analytics (6 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Educational Technology and Assessment (3 papers), Artificial Intelligence in Healthcare (2 papers), Innovative Teaching and Learning Methods (2 papers), Multiple Myeloma Research and Treatments (2 papers), Cancer Treatment and Pharmacology (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Computer Science Applications (324 citations), Health Information Management (36 citations), Health Informatics (9 citations), Artificial Intelligence (175 citations) and Information Systems (114 citations). Ashish Dutt has collaborated with scholars based in Malaysia, India and Iran. Frequent co-authors include Maizatul Akmar Ismail, Tutut Herawan, Ritu Gupta, Ahitagni Biswas, Ranjit Kumar Sahoo, Prabhat Singh Malik, Lalit Kumar, Rakesh Kumar, Sanjay Thulkar and Saeed Aghabozorgi. Their work appears in journals such as IEEE Access, Indian Journal of Science and Technology, Leukemia & lymphoma, Clinical Lymphoma Myeloma & Leukemia and Malaysian Journal of Computer Science.

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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