Deepak Kulkarni

589 total citations
27 papers, 341 citations indexed

About

Deepak Kulkarni is a scholar working on Aerospace Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Deepak Kulkarni has authored 27 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Aerospace Engineering, 7 papers in Artificial Intelligence and 6 papers in Control and Systems Engineering. Recurrent topics in Deepak Kulkarni's work include Air Traffic Management and Optimization (11 papers), Aviation Industry Analysis and Trends (6 papers) and Fault Detection and Control Systems (5 papers). Deepak Kulkarni is often cited by papers focused on Air Traffic Management and Optimization (11 papers), Aviation Industry Analysis and Trends (6 papers) and Fault Detection and Control Systems (5 papers). Deepak Kulkarni collaborates with scholars based in United States, India and Canada. Deepak Kulkarni's co-authors include Herbert A. Simon, Banavar Sridhar, Yao Wang, Yao Wang, Yao Wang, Ann Patterson‐Hine, Wei Mei, Somnath Deb, Antony Evans and Paul U. Lee and has published in prestigious journals such as Cognitive Science, SAE technical papers on CD-ROM/SAE technical paper series and SAE International Journal of Aerospace.

In The Last Decade

Deepak Kulkarni

22 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepak Kulkarni United States	6	103	76	58	54	38	27	341
Ronald W. Ferguson United States	9	193 1.9×	71 0.9×	4 0.1×	108 2.0×	15 0.4×	16	406
Atoosa Kasirzadeh United Kingdom	9	194 1.9×	9 0.1×	11 0.2×	5 0.1×	3 0.1×	22	482
Marco Elio Tabacchi Italy	10	66 0.6×	27 0.4×	4 0.1×	27 0.5×	3 0.1×	40	343
Jianhui Yu China	12	85 0.8×	38 0.5×	21 0.4×	48 0.9×		20	503
Yiqing Wang China	10	49 0.5×	40 0.5×	11 0.2×	41 0.8×		42	575
Yuan Jing China	4	203 2.0×	13 0.2×	16 0.3×	42 0.8×		9	569
Tom Dayton United States	11	59 0.6×	47 0.6×	7 0.1×	19 0.4×	2 0.1×	25	309
Ken Forbus United States	12	234 2.3×	50 0.7×	8 0.1×	69 1.3×	1 0.0×	28	378
Lewis Baker United States	10	62 0.6×	39 0.5×	17 0.3×	38 0.7×		32	299
Frank Guérin United Kingdom	13	401 3.9×	125 1.6×	30 0.5×	32 0.6×	1 0.0×	61	587

Countries citing papers authored by Deepak Kulkarni

Since Specialization

Citations

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

Fields of papers citing papers by Deepak Kulkarni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Kulkarni

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Kulkarni. A scholar is included among the top collaborators of Deepak 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 Deepak Kulkarni. Deepak 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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20 of 20 papers shown

Wuu, John, Mike Mantor, Gabriel H. Loh, et al.. (2024). Coevolution of Chiplet Technology and Cache Architecture for AI and Compute. 1–4. 2 indexed citations

Kulkarni, Deepak, et al.. (2024). Real-time Environmental Monitoring in Smart Agriculture using TinyML and Machine Learning. 1–6. 1 indexed citations

Kulkarni, Deepak. (2023). Heterogeneous Integration with 3D Chiplets. 1–1. 1 indexed citations

Evans, Antony, et al.. (2020). Benefit Assessment of the Integrated Demand Management Concept for Multiple New York Metroplex Airports. AIAA Scitech 2020 Forum. 4 indexed citations

Kulkarni, Deepak. (2018). Model of Collaborative Trajectory Options Program Performance. NASA Technical Reports Server (NASA).

Kulkarni, Deepak. (2017). Models of Sector Flows Under Local, Regional and Airport Weather Constraints. NASA STI Repository (National Aeronautics and Space Administration). 1 indexed citations

Kulkarni, Deepak, Yao Wang, & Banavar Sridhar. (2014). Analysis of Airport Ground Delay Program Decisions Using Data Mining Techniques. NASA STI Repository (National Aeronautics and Space Administration). 8 indexed citations

Kulkarni, Deepak & Herbert A. Simon. (2012). The Processes of Scientific Research: The Strategy of Experimentation.

Sridhar, Banavar, Deepak Kulkarni, & Kapil Sheth. (2011). Impact of Uncertainty on the Prediction of Airspace Complexity of Congested Sectors. Air Traffic Control Quarterly. 19(1). 1–21. 4 indexed citations

10.

Kulkarni, Deepak. (2011). Predictive Models of Duration of Ground Delay Programs in New York Area Airports. 3 indexed citations

11.

Kulkarni, Deepak, et al.. (2010). Predicting Peak Sector Occupancy with Two-Hour Convective Weather Forecasts. AIAA Guidance, Navigation, and Control Conference. 1 indexed citations

12.

Sridhar, Banavar & Deepak Kulkarni. (2009). Impact of uncertainty on the prediction of airspace complexity of congested sectors. 3. 3.B.4–1. 2 indexed citations

13.

Kulkarni, Deepak, et al.. (2004). Agent Architecture for Aviation Data Integration System. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations

14.

Kulkarni, Deepak, et al.. (2000). Integrated Functional D Executional Modeling Of Software Using Web-Based Databases. 4(3). 1–12.

15.

Kulkarni, Deepak, et al.. (2000). Engine data analysis using decision trees. 36th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit. 2 indexed citations

16.

Patterson‐Hine, Ann, et al.. (1998). Automated System Checkout to Support Predictive Maintenance for the Reusable Launch Vehicle. International Conference on Systems. 4 indexed citations

17.

Kulkarni, Deepak, et al.. (1995). Degradation detection and testability analysis in Propulsion Checkout and Control System. SAE technical papers on CD-ROM/SAE technical paper series. 1. 4 indexed citations

18.

Manganaris, Stefanos, Doug Fisher, & Deepak Kulkarni. (1993). <title>Toward a machine-learning framework for acquiring and exploiting monitoring and diagnostic knowledge</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1963. 101–112. 1 indexed citations

19.

Kulkarni, Deepak & Peter Robinson. (1992). An expert system for monitoring dynamic aspects of RCS. Space Programs and Technologies Conference.

20.

Kulkarni, Deepak, Kiriakos N. Kutulakos, & Peter Robinson. (1992). Data analysis using scale-space filtering and Bayesian probabilistic reasoning. Computers & Chemistry. 16(1). 15–23. 3 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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