Ajay Kulkarni

665 total citations
17 papers, 163 citations indexed

About

Ajay Kulkarni is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Ajay Kulkarni has authored 17 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Ajay Kulkarni's work include Smart Grid Security and Resilience (3 papers), Online Learning and Analytics (2 papers) and Multi-Agent Systems and Negotiation (2 papers). Ajay Kulkarni is often cited by papers focused on Smart Grid Security and Resilience (3 papers), Online Learning and Analytics (2 papers) and Multi-Agent Systems and Negotiation (2 papers). Ajay Kulkarni collaborates with scholars based in United States, Australia and India. Ajay Kulkarni's co-authors include Feras A. Batarseh, Reza Ovissipour, Mohammad Zarei, Abbas Rohani, Amin Nikkhah, Nicole Tichenor Blackstone, Subodh Kumar Saha, Munisamy Gopinath, Samir Pokhrel and Hemantkumar S. Chaudhari and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Computer.

In The Last Decade

Ajay Kulkarni

15 papers receiving 150 citations

Peers

Ajay Kulkarni

CVPR

GPC

CNC

Guru Prasad M S India

Rubén R. Fernández Spain

Yiran Liu China

Soumadip Ghosh India

Ch. Satyanarayana India

Khyrina Airin Fariza Abu Samah Malaysia

Xiajiong Shen China

Dongning Jia China

Xiang Fan China

Guru Prasad M S India

Ajay Kulkarni

66 ×1.8

65 ×1.9

CVPR

11 ×0.6

GPC

18 ×0.9

CNC

14 ×0.9

Citations per year, relative to Ajay Kulkarni Ajay Kulkarni (= 1×) peers Guru Prasad M S

Countries citing papers authored by Ajay Kulkarni

Since Specialization

Citations

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

Fields of papers citing papers by Ajay Kulkarni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajay Kulkarni

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

All Works

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17 of 17 papers shown

Gopinath, Munisamy, et al.. (2024). Deploying Machine Learning Methods to Predict Global Trade Patterns: The Case of Beef. Journal of the ASABE. 67(1). 219–232. 1 indexed citations

Kulkarni, Ajay, et al.. (2024). Toward Identifying Cyber Dependencies in Water Distribution Systems Using Causal AI. Journal of Water Resources Planning and Management. 151(2).

Kulkarni, Ajay, et al.. (2024). A Review of Cybersecurity Incidents in the Food and Agriculture Sector. arXiv (Cornell University). 3 indexed citations

Kulkarni, Ajay, et al.. (2024). Quantifying water effluent violations and enforcement impacts using causal AI. Policy & Internet. 16(2). 317–338.

Nikkhah, Amin, Abbas Rohani, Mohammad Zarei, et al.. (2023). Toward sustainable culture media: Using artificial intelligence to optimize reduced-serum formulations for cultivated meat. The Science of The Total Environment. 894. 164988–164988. 39 indexed citations

Batarseh, Feras A. & Ajay Kulkarni. (2023). AI for Water. Computer. 56(3). 109–113. 6 indexed citations

Batarseh, Feras A., et al.. (2023). ACWA: an AI-driven cyber-physical testbed for intelligent water systems. Water Practice & Technology. 18(12). 3399–3418. 7 indexed citations

Kulkarni, Ajay, et al.. (2023). Unleashing the power of gen-AI for digital education development. ASCILITE Publications. 3 indexed citations

Kulkarni, Ajay, et al.. (2023). Rationalization for explainable NLP: a survey. Frontiers in Artificial Intelligence. 6. 1225093–1225093. 17 indexed citations

10.

Kulkarni, Ajay, et al.. (2023). P₂O: AI-Driven Framework for Managing and Securing Wastewater Treatment Plants. Journal of Environmental Engineering. 149(9). 5 indexed citations

11.

Huang, Chih‐Hao, et al.. (2021). Measuring outcomes in healthcare economics using Artificial Intelligence: With application to resource management. SHILAP Revista de lepidopterología. 3. 9 indexed citations

12.

Gopinath, Munisamy, et al.. (2021). International agricultural trade forecasting using machine learning. SHILAP Revista de lepidopterología. 3. 13 indexed citations

13.

Kulkarni, Ajay. (2021). Towards Understanding the Impact of Real-Time AI-Powered Educational Dashboards (RAED) on Providing Guidance to Instructors. arXiv (Cornell University). 1 indexed citations

14.

Kulkarni, Ajay & Michael Eagle. (2020). Estimating Effects of the Decision Support System on Educational Agents with Simulations. 1 indexed citations

15.

Batarseh, Feras A. & Ajay Kulkarni. (2019). Context-Driven Data Mining through Bias Removal and Data Incompleteness Mitigation. arXiv (Cornell University). 24–30. 1 indexed citations

16.

Chaudhari, Hemantkumar S., Samir Pokhrel, Ajay Kulkarni, Anupam Hazra, & Subodh Kumar Saha. (2016). Clouds–SST relationship and interannual variability modes of Indian summer monsoon in the context of clouds and SSTs: observational and modelling aspects. International Journal of Climatology. 36(15). 4723–4740. 16 indexed citations

17.

Kulkarni, Ajay, et al.. (2002). Building Agent-Based Intelligent Workspaces.. International Conference on Internet Computing. 675–681. 41 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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