Kaushik Dutta

2.4k total citations · 1 hit paper
99 papers, 1.5k citations indexed

About

Kaushik Dutta is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Kaushik Dutta has authored 99 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Information Systems, 34 papers in Computer Networks and Communications and 12 papers in Artificial Intelligence. Recurrent topics in Kaushik Dutta's work include Caching and Content Delivery (16 papers), Web Data Mining and Analysis (14 papers) and Cloud Computing and Resource Management (12 papers). Kaushik Dutta is often cited by papers focused on Caching and Content Delivery (16 papers), Web Data Mining and Analysis (14 papers) and Cloud Computing and Resource Management (12 papers). Kaushik Dutta collaborates with scholars based in United States, India and Singapore. Kaushik Dutta's co-authors include Debra VanderMeer, Anindya Datta, Amy J. Davidoff, Krithi Ramamritham, Raju Rangaswami, Ming Zhao, Sushil K. Gupta, Helen Thomas, Deborah A. Podolin and Dinesh Batra and has published in prestigious journals such as Management Science, Diabetes and The FASEB Journal.

In The Last Decade

Kaushik Dutta

94 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

AI Hallucinations: A Misnomer Worth Clarifying

2024 51 citations Negar Maleki, Balaji Padmanabhan et al. profile →

Peers

Kaushik Dutta

IS

CNC

AI

MB

CCM

Ying He United Kingdom

Henry Kim Canada

Robert M. MacGregor United States

Qianwen Xu United Kingdom

Xiaolin Zheng China

David Shepherd United States

Sunju Park South Korea

Dawei Jin China

Lidia Ogiela Poland

Naomie Salim Malaysia

Ying He United Kingdom

Kaushik Dutta

582 ×1.0

IS

249 ×0.5

CNC

122 ×0.6

AI

90 ×0.5

MB

49 ×0.3

CCM

Citations per year, relative to Kaushik Dutta Kaushik Dutta (= 1×) peers Ying He

Countries citing papers authored by Kaushik Dutta

Since Specialization

Citations

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

Fields of papers citing papers by Kaushik Dutta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaushik Dutta

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Xu, Xiaoying, et al.. (2024). Improving answer quality using image-text coherence on social Q&A sites. Decision Support Systems. 180. 114191–114191. 4 indexed citations

2.

Maleki, Negar, Balaji Padmanabhan, & Kaushik Dutta. (2024). AI Hallucinations: A Misnomer Worth Clarifying. 133–138. 51 indexed citations breakdown →

3.

Sarkar, Kunal, Kaushik Dutta, Arindam Chatterjee, et al.. (2023). Nanotherapeutic Potential of Antibacterial Folic Acid-Functionalized Nanoceria for Wound-Healing Applications. Nanomedicine. 18(2). 109–123. 16 indexed citations

4.

Tanniru, Mohan, Carson Woo, & Kaushik Dutta. (2023). A Conceptual Model to Share Resources and Align Goals: Building Blockchain Application to Support Care Continuity Outside a Hospital. Journal of risk and financial management. 16(4). 247–247. 3 indexed citations

5.

Maleki, Negar, Balaji Padmanabhan, & Kaushik Dutta. (2023). The Effect of Monetary Incentives on Health Care Social Media Content: Study Based on Topic Modeling and Sentiment Analysis. Journal of Medical Internet Research. 25. e44307–e44307. 11 indexed citations

6.

Singh, Vivek Kumar, Shivendu Shivendu, & Kaushik Dutta. (2022). Spot instance similarity and substitution effect in cloud spot market. Decision Support Systems. 159. 113815–113815. 4 indexed citations

7.

Bhattacherjee, Anol, et al.. (2020). Information Technology Interventions in Cardiac Rehabilitation: A Theory Driven Approach. Journal of the Association for Information Systems. 3 indexed citations

8.

Dutta, Kaushik, et al.. (2020). Rainfall Prediction using Machine Learning and Neural Network. International Journal of Recent Technology and Engineering (IJRTE). 9(1). 1954–1961. 10 indexed citations

9.

Dutta, Kaushik, Anindya Datta, Helen Thomas, & Pınar Keskinocak. (2018). Optimizing Caching in Object-Oriented Applications. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).

10.

Dutta, Kaushik, et al.. (2015). Auto pricing Strategy for Real time bidding in advertising: A dynamic programming approach. International Conference on Information Systems. 1 indexed citations

11.

Sundarraj, R. P., et al.. (2015). An Online Algorithm for Programmatic Advertisement Placement in Supply Side Platform of Mobile Advertisement. Journal of the Association for Information Systems. 38. 2 indexed citations

12.

Xu, Xiaoying, Kaushik Dutta, & Anindya Datta. (2014). Functionality-Based Mobile App Recommendation by Identifying Aspects from User Reviews. Journal of the Association for Information Systems. 33(4). 281–7. 6 indexed citations

13.

Fang, Fang, Kaushik Dutta, & Anindya Datta. (2013). LDA-Based Industry Classification. International Conference on Information Systems. 87(5). 399–403. 7 indexed citations

14.

Ramasubbu, Narayan, et al.. (2012). TAKEOFF AND SUSTAINED SUCCESS OF APPS IN HYPERCOMPETITIVE MOBILE PLATFORM ECOSYSTEMS : AN EMPIRICAL ANALYSIS. International Conference on Information Systems. 9 indexed citations

15.

Fang, Fang, Anindya Datta, & Kaushik Dutta. (2012). A Hybrid Method for Cross-domain Sentiment Classification Using Multiple Sources.. National University of Singapore. 1 indexed citations

16.

Rangaswami, Raju, et al.. (2010). Application performance modeling in a virtualized environment. 1–10. 84 indexed citations

17.

Dutta, Kaushik, et al.. (2006). Cardiomyocyte dysfunction in insulin-resistant rats: a female advantage. Diabetologia. 49(5). 1097–1105. 8 indexed citations

18.

Dutta, Kaushik, et al.. (2002). Depressed PKA Activity Contributes to Impaired SERCA Function and is Linked to the Pathogenesis of Glucose-induced Cardiomyopathy. Journal of Molecular and Cellular Cardiology. 34(8). 985–996. 46 indexed citations

19.

Datta, Anindya, et al.. (2001). A Comparative Study of Alternative Middle Tier Caching Solutions to Support Dynamic Web Content Acceleration. Very Large Data Bases. 667–670. 33 indexed citations

20.

Dutta, Kaushik, et al.. (1998). Community perception about disaster preparedness and response programme in four states of India.. PubMed. 41(1). 11–5. 2 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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