Krishna Kalyanam

1.1k total citations
95 papers, 735 citations indexed

About

Krishna Kalyanam is a scholar working on Aerospace Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Krishna Kalyanam has authored 95 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Aerospace Engineering, 33 papers in Computer Networks and Communications and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Krishna Kalyanam's work include Optimization and Search Problems (22 papers), Robotic Path Planning Algorithms (19 papers) and Guidance and Control Systems (15 papers). Krishna Kalyanam is often cited by papers focused on Optimization and Search Problems (22 papers), Robotic Path Planning Algorithms (19 papers) and Guidance and Control Systems (15 papers). Krishna Kalyanam collaborates with scholars based in United States, Canada and India. Krishna Kalyanam's co-authors include David W. Casbeer, Meir Pachter, Swaroop Darbha, Tsu‐Chin Tsao, Satyanarayana G. Manyam, A.R. Lyle, J. E. A. Alderson, S.K. Sood, P. Chandler and Steven A. Rasmussen and has published in prestigious journals such as International Journal of Hydrogen Energy, IEEE Transactions on Control Systems Technology and IEEE Transactions on Robotics.

In The Last Decade

Krishna Kalyanam

84 papers receiving 704 citations

Peers

Countries citing papers authored by Krishna Kalyanam

Since Specialization

Citations

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

Fields of papers citing papers by Krishna Kalyanam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishna Kalyanam

This figure shows the co-authorship network connecting the top 25 collaborators of Krishna Kalyanam. A scholar is included among the top collaborators of Krishna Kalyanam 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 Krishna Kalyanam. Krishna Kalyanam 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

#	Title	Journal	Authors	Indexed citations
1	Ground Stop Adjuster: A Machine Learning Approach to Improve Air Traffic Management Initiatives		Milad Memarzadeh, Krishna Kalyanam et al.	1
2	Analysis of Traffic Flow in Structured Urban Airspace Networks With MFD-Based Feedback Control		Min Xue, Krishna Kalyanam et al.	0
3	Towards an Aviation Large Language Model by Fine-tuning and Evaluating Transformers		Krishna Kalyanam et al.	1
4	Runway Configuration Assistance: Offline Reinforcement Learning Method for Air Traffic Management	Journal of Aerospace Information Systems	Milad Memarzadeh, Krishna Kalyanam	0
5	A Natural Language Understanding Approach for Digitizing Aircraft Ground Taxi Instructions		Krishna Kalyanam et al.	0
6	Prediction of Critical Aircraft Performance Model Parameters from Historical Flight Data	AIAA SCITECH 2023 Forum	Tejas G. Puranik, Krishna Kalyanam et al.	3
7	Predicting Airport Runway Configurations for Decision-Support Using Supervised Learning		Tejas G. Puranik, Milad Memarzadeh et al.	1
8	Sequential attack salvo size is monotonic nondecreasing in both time and inventory level	Naval Research Logistics (NRL)	Krishna Kalyanam et al.	0
9	Optimal Threshold Policy for Sequential Weapon Target Assignment	IFAC-PapersOnLine	Krishna Kalyanam, Sivakumar Rathinam et al.	7
10	Intruder Isolation on a General Road Network Under Partial Information	IEEE Transactions on Control Systems Technology	Hua Chen, Krishna Kalyanam et al.	2
11	Optimal Policy for Sequential Stochastic Resource Allocation	Procedia Computer Science	Krishna Kalyanam, Meir Pachter et al.	1
12	Minimum time UAV pursuit of a moving ground target using partial information	Zenodo (CERN European Organization for Nuclear Research)	Krishna Kalyanam, David W. Casbeer et al.	12
13	Integrated Human Behavior Modeling and Stochastic Control (IHBMSC)		Phillip Chandler, Meir Pachter et al.	1
14	State partitioning based linear program for stochastic dynamic programs: An invariance property	Operations Research Letters	Krishna Kalyanam, Swaroop Darbha et al.	3
15	Two-Period Repetitive and Adaptive Control for Repeatable and Nonrepeatable Runout Compensation in Disk Drive Track Following	IEEE/ASME Transactions on Mechatronics	Krishna Kalyanam, Tsu‐Chin Tsao	24
16	Approximate Dynamic Programming with State Aggregation applied to Perimeter Patrol*	AIAA Guidance, Navigation, and Control Conference	Krishna Kalyanam, Meir Pachter et al.	2
17	Tritium Purification System for TFTR		K.B. Woodall, Gordon Woo et al.	5
18	Tritium Environmental Source Terms for the Effluents of ITER Water Systems	Fusion Technology	Krishna Kalyanam et al.	1
19	Tritiated Water Processing for Fusion Reactors	Fusion Technology	S.K. Sood, Krishna Kalyanam	1
20	A high-temperature isotopic exchange process for recovering tritium from fusion fuel impurities	Fusion Engineering and Design	A. Busigin, K.B. Woodall et al.	6

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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