Ashish Dutt

700 total citations · 1 hit paper
10 papers, 434 citations indexed

About

Ashish Dutt is a scholar working on Computer Science Applications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Ashish Dutt has authored 10 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Science Applications, 5 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Ashish Dutt's work include Online Learning and Analytics (6 papers), Educational Technology and Assessment (3 papers) and Intelligent Tutoring Systems and Adaptive Learning (3 papers). Ashish Dutt is often cited by papers focused on Online Learning and Analytics (6 papers), Educational Technology and Assessment (3 papers) and Intelligent Tutoring Systems and Adaptive Learning (3 papers). Ashish Dutt collaborates with scholars based in Malaysia, India and Indonesia. Ashish Dutt's co-authors include Maizatul Akmar Ismail, Tutut Herawan, Saeed Aghabozorgi, Ahitagni Biswas, Atul Sharma, Ritu Gupta, Sanjay Thulkar, Rakesh Kumar, Ranjit Kumar Sahoo and Lalit Kumar and has published in prestigious journals such as IEEE Access, Leukemia & lymphoma and Indian Journal of Science and Technology.

In The Last Decade

Ashish Dutt

9 papers receiving 410 citations

Hit Papers

A Systematic Review on Educational Data Mining 2017 2026 2020 2023 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Systematic Review on Educational Data Mining
    2017 322 citations Ashish Dutt, Maizatul Akmar Ismail et al. IEEE Access profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ashish Dutt Malaysia 5 324 175 114 72 68 10 434
Parneet Kaur India 9 160 0.5× 166 0.9× 90 0.8× 33 0.5× 59 0.9× 26 353
Kamal Uddin Sarker Malaysia 9 219 0.7× 106 0.6× 122 1.1× 78 1.1× 76 1.1× 24 369
Diego Buenaño-Fernández Ecuador 8 170 0.5× 94 0.5× 88 0.8× 33 0.5× 38 0.6× 20 290
Martin Drlík Slovakia 10 199 0.6× 92 0.5× 100 0.9× 99 1.4× 35 0.5× 39 348
Raheela Asif Pakistan 5 417 1.3× 194 1.1× 131 1.1× 69 1.0× 100 1.5× 24 509
Najmi Ghani Haider Pakistan 5 340 1.0× 154 0.9× 95 0.8× 63 0.9× 95 1.4× 13 445
Hendrik Thüs Germany 7 438 1.4× 135 0.8× 154 1.4× 122 1.7× 63 0.9× 12 556
Amirah Mohamed Shahiri Malaysia 3 491 1.5× 259 1.5× 136 1.2× 80 1.1× 115 1.7× 5 573
Drahomíra Herrmannová United States 8 126 0.4× 104 0.6× 45 0.4× 44 0.6× 21 0.3× 26 264
Jawad Berri Saudi Arabia 10 78 0.2× 105 0.6× 156 1.4× 19 0.3× 49 0.7× 41 297

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-authorship network of co-authors of Ashish Dutt

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

All Works

10 of 10 papers shown
1.
2.
Dutt, Ashish, Maizatul Akmar Ismail, Tutut Herawan, & Mohamed Hashem. (2024). Partition-Based Clustering Algorithms Applied to Mixed Data for Educational Data Mining: A Survey From 1971 to 2024. IEEE Access. 12. 172923–172942. 1 indexed citations
3.
Kumar, Lalit, Ranjit Kumar Sahoo, Prabhat Singh Malik, et al.. (2022). Multiple Myeloma: Impact of Time to Transplant on the Outcome. Clinical Lymphoma Myeloma & Leukemia. 22(9). e826–e835. 8 indexed citations
4.
Kumar, Lalit, Ranjit Kumar Sahoo, Neha Pathak, et al.. (2022). Autologous stem cell transplant for multiple myeloma: Impact of melphalan dose on the transplant outcome. Leukemia & lymphoma. 64(2). 378–387. 8 indexed citations
5.
Dutt, Ashish & Maizatul Akmar Ismail. (2020). A PARTITION-BASED FEATURE SELECTION METHOD FOR MIXED DATA: A FILTER APPROACH. Malaysian Journal of Computer Science. 33(2). 152–169. 1 indexed citations
6.
Dutt, Ashish & Maizatul Akmar Ismail. (2019). Can We Predict Student Learning Performance from LMS Data? A Classification Approach. 17 indexed citations
7.
Dutt, Ashish, Maizatul Akmar Ismail, & Tutut Herawan. (2017). A Systematic Review on Educational Data Mining. IEEE Access. 5. 15991–16005. 322 indexed citations breakdown →
8.
Aghabozorgi, Saeed, et al.. (2015). Applying Clustering Approach to Analyze Reflective Dialogues and Students’ Problem Solving Ability. Indian Journal of Science and Technology. 8(11). 2 indexed citations
9.
Aghabozorgi, Saeed, et al.. (2014). Reflective Dialogues and Students' Problem Solving Ability Analysis Using Clustering. 2 indexed citations
10.
Dutt, Ashish. (2014). Clustering Algorithms Applied in Educational Data Mining. International Journal of Information and Electronics Engineering. 73 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.

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