Tapas K. Das

2.4k citations

80 papers · 1.7k · h-index 25

Impact in

Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Management Information Systems top 2%
- Supply Chain and Inventory Management

Papers in

Electrical and Electronic Engineering 22
- Smart Grid Energy Management 15
- Electric Power System Optimization 11
- Electric Vehicles and Infrastructure 7
Management Information Systems 15
- Supply Chain and Inventory Management 13

Co-authors: Abhijit Gosavi (8 shared papers)Felipe Feijoo (7 shared papers)Carlos D. Paternina-Arboleda (3 shared papers)Sudeep Sarkar (4 shared papers)Vikas Jain (4 shared papers)Sridhar Mahadevan (1 shared paper)Alex Savachkin (4 shared papers)Yiliang Zhu (1 shared paper)
Journals: IEEE Transactions on Power Systems (5 papers)Energy (5 papers)International Journal of Electrical Power & Energy Systems (4 papers)IEEE Transactions on Semiconductor Manufacturing (3 papers)Health Care Management Science (3 papers)
Partner nations: United States India Colombia

In The Last Decade

Tapas K. Das

78 papers receiving 1.6k citations

Peers

Replace Lewis Ntaimo with:

Lewis Ntaimo United States

Richard J. Boucherie Netherlands

Mehrdad Mohammadi Iran

Willem van Jaarsveld Netherlands

Qiang Su China

Adel Fahad Alrasheedi Saudi Arabia

Shane G. Henderson United States

Stephan Dempe Germany

Vidyadhar G. Kulkarni United States

Miguel A. Lejeune United States

Tapas K. Das relative to Lewis Ntaimo United States Lewis Ntaimo's profile →

Citations per field

00.5×2×2.9×

Lewis Ntaimo · 1×

×2.9 164/57

MS

×1.8 261/144

MIS

×1.8 269/150

IME

×2.0 127/62

SPU

×0.5 193/362

MSOR

Citations per year

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Countries citing papers authored by Tapas K. Das

Since Specialization

Citations

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

Fields of papers citing papers by Tapas K. Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tapas K. Das. 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 Tapas K. Das. The network helps show where Tapas K. Das may publish in the future.

Co-authors

The 25 scholars most cited alongside Tapas K. Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tapas K. Das Line = papers co-authored together Tapas K. Das links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Solving Semi-Markov Decision Problems Using Average Reward Reinforcement Learning Management Science ·Tapas K. Das, Abhijit Gosavi, Sridhar Mahadevan, Nicholas Marchalleck	1999	154
2	A Reinforcement Learning Model to Assess Market Power Under Auction-Based Energy Pricing IEEE Transactions on Power Systems ·Vishnuteja Nanduri, Tapas K. Das	2007	102
3	A reinforcement learning approach to a single leg airline revenue management problem with multiple fare classes and overbooking IIE Transactions ·ABHUIT GOSAVII, Naveen Bandla, Tapas K. Das	2002	99
4	Optimal preventive maintenance in a production inventory system IIE Transactions ·Tapas K. Das, Sudeep Sarkar	1999	71
5	A large-scale simulation model of pandemic influenza outbreaks for development of dynamic mitigation strategies IIE Transactions ·Tapas K. Das, Alex Savachkin, Yiliang Zhu	2008	67
6	Global supply chain management: A reinforcement learning approach International Journal of Production Research ·Pierpaolo Pontrandolfo, Abhijit Gosavi, O. Geoffrey Okogbaa, Tapas K. Das	2002	65
7	A multi-agent reinforcement learning approach to obtaining dynamic control policies for stochastic lot scheduling problem Simulation Modelling Practice and Theory ·Carlos D. Paternina-Arboleda, Tapas K. Das	2005	63
8	A two-layer model for dynamic pricing of electricity and optimal charging of electric vehicles under price spikes Energy ·Vignesh Subramanian, Tapas K. Das	2018	57
9	Intelligent dynamic control policies for serial production lines IIE Transactions ·Carlos D. Paternina-Arboleda, Tapas K. Das	2001	42
10	Emissions control via carbon policies and microgrid generation: A bilevel model and Pareto analysis Energy ·Felipe Feijoo, Tapas K. Das	2015	39
11	IIE Transactions ·Tapas K. Das, Vikas Jain, Abhijit Gosavi	1997	39
12	Design of Pareto optimal CO2 cap-and-trade policies for deregulated electricity networks Applied Energy ·Felipe Feijoo, Tapas K. Das	2014	38
13	A survey of critical research areas in the energy segment of restructured electric power markets International Journal of Electrical Power & Energy Systems ·Vishnu Nanduri, Tapas K. Das	2009	36
14	A systematic review to identify areas of enhancements of pandemic simulation models for operational use at provincial and local levels BMC Public Health ·Diana Prieto, Tapas K. Das, Alex Savachkin, Andrés Uribe, Ricardo Izurieta, Sharad Malavade	2012	31
15	Wavelet-based identification of delamination defect in cmp (cu-low k) using nonstationary acoustic emission signal IEEE Transactions on Semiconductor Manufacturing ·Rajesh Ganesan, Tapas K. Das, A. K. Sikder, Ashok Kumar	2003	31
16	Generation Capacity Expansion in Energy Markets Using a Two-Level Game-Theoretic Model IEEE Transactions on Power Systems ·Vishnu Nanduri, Tapas K. Das, P. Rocha	2009	29
17	A predictive decision-aid methodology for dynamic mitigation of influenza pandemics OR Spectrum ·A Uribe‐Sanchez, Alex Savachkin, Alfredo Nicodemos Cruz Santana, Diana Prieto, Tapas K. Das	2011	28
18	Impact assessment of full and partial stay-at-home orders, face mask usage, and contact tracing: An agent-based simulation study of COVID-19 for an urban region SHILAP Revista de lepidopterología ·Hanisha Tatapudi, Rachita Das, Tapas K. Das	2020	28
19	A computationally efficient electricity price forecasting model for real time energy markets Energy Conversion and Management ·Felipe Feijoo, Walter Silva, Tapas K. Das	2016	28
20	Empowering end-use consumers of electricity to aggregate for demand-side participation Applied Energy ·Kevin A. Melendez, Vignesh Subramanian, Tapas K. Das, Changhyun Kwon	2019	28

About Tapas K. Das

Tapas K. Das is a scholar working on Electrical and Electronic Engineering, Management Information Systems, Modeling and Simulation, Epidemiology and Industrial and Manufacturing Engineering, having authored 80 papers that have together received 1.7k indexed citations. Recurring topics across this work include Smart Grid Energy Management (15 papers), Supply Chain and Inventory Management (13 papers), Electric Power System Optimization (11 papers), COVID-19 epidemiological studies (11 papers), Electric Vehicles and Infrastructure (7 papers), Influenza Virus Research Studies (7 papers), Advanced Statistical Process Monitoring (6 papers) and Scheduling and Optimization Algorithms (5 papers). The work is most often cited by research in Modeling and Simulation (164 citations), Management Information Systems (261 citations), Industrial and Manufacturing Engineering (269 citations), Statistics, Probability and Uncertainty (127 citations) and Management Science and Operations Research (193 citations). Tapas K. Das has collaborated with scholars based in United States, India and Colombia. Frequent co-authors include Abhijit Gosavi, Felipe Feijoo, Carlos D. Paternina-Arboleda, Sudeep Sarkar, Vikas Jain, Sridhar Mahadevan, Alex Savachkin, Yiliang Zhu, Rajesh Ganesan and O. Geoffrey Okogbaa. Their work appears in journals such as IEEE Transactions on Power Systems, Energy, International Journal of Electrical Power & Energy Systems, IEEE Transactions on Semiconductor Manufacturing and Health Care Management Science.

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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About Tapas K. Das

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