A. Krishnamoorthy

1.9k total citations
105 papers, 1.2k citations indexed

About

A. Krishnamoorthy is a scholar working on Management Information Systems, Management Science and Operations Research and Safety, Risk, Reliability and Quality. According to data from OpenAlex, A. Krishnamoorthy has authored 105 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Management Information Systems, 31 papers in Management Science and Operations Research and 24 papers in Safety, Risk, Reliability and Quality. Recurrent topics in A. Krishnamoorthy's work include Advanced Queuing Theory Analysis (91 papers), Supply Chain and Inventory Management (30 papers) and Probability and Risk Models (24 papers). A. Krishnamoorthy is often cited by papers focused on Advanced Queuing Theory Analysis (91 papers), Supply Chain and Inventory Management (30 papers) and Probability and Risk Models (24 papers). A. Krishnamoorthy collaborates with scholars based in India, Russia and United States. A. Krishnamoorthy's co-authors include Viswanath C. Narayanan, Srinivas Chakravarthy, B. Kumar, S. Sadiq Basha, Alexander Dudin, Dmitry Kozyrev, G. Vijayalakshmi, Varghese S. Jacob, Vladimir Vishnevsky and A. S. Manjunath and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Computers & Operations Research.

In The Last Decade

A. Krishnamoorthy

97 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Krishnamoorthy India 20 1.1k 259 249 238 182 105 1.2k
Gautam Choudhury India 23 1.3k 1.2× 340 1.3× 477 1.9× 102 0.4× 281 1.5× 71 1.4k
Lotfi Tadj Saudi Arabia 17 801 0.7× 211 0.8× 274 1.1× 159 0.7× 143 0.8× 99 1.0k
Chia‐Huang Wu Taiwan 16 561 0.5× 259 1.0× 195 0.8× 232 1.0× 82 0.5× 75 900
Hans Daduna Germany 16 634 0.6× 77 0.3× 252 1.0× 145 0.6× 191 1.0× 77 796
Kyung C. Chae South Korea 18 758 0.7× 256 1.0× 349 1.4× 42 0.2× 254 1.4× 54 948
Valentina Klimenok Belarus 18 928 0.8× 103 0.4× 413 1.7× 45 0.2× 444 2.4× 79 1.0k
M. Yadin Israel 9 571 0.5× 94 0.4× 250 1.0× 88 0.4× 188 1.0× 27 732
Raik Stolletz Germany 18 334 0.3× 47 0.2× 258 1.0× 490 2.1× 83 0.5× 60 992
Wen Lea Pearn Taiwan 16 266 0.2× 95 0.4× 230 0.9× 278 1.2× 60 0.3× 34 732
Dieter Fiems Belgium 17 457 0.4× 72 0.3× 144 0.6× 33 0.1× 399 2.2× 141 910

Countries citing papers authored by A. Krishnamoorthy

Since Specialization
Citations

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

Fields of papers citing papers by A. Krishnamoorthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Krishnamoorthy

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

All Works

20 of 20 papers shown
1.
Krishnamoorthy, A., et al.. (2024). The k-out-of-n:G System Viewed as a Multi-Server Queue. Mathematics. 12(2). 210–210.
2.
Krishnamoorthy, A., Srinivas Chakravarthy, Аgassi Melikov, & Viswanath C. Narayanan. (2024). Queueing-inventory: analytical and simulation modeling and classical and retrial queues and inventory. Annals of Operations Research. 340(2-3). 1221–1224. 1 indexed citations
3.
Dudin, Alexander, A. Krishnamoorthy, Sergey Dudin, & Olga Dudina. (2023). Queueing system with control by admission of retrial requests depending on the number of busy servers and state of the underlying process of Markov arrival process of primary requests. Annals of Operations Research. 335(1). 135–150. 4 indexed citations
4.
Krishnamoorthy, A., et al.. (2023). On Queues with Working Vacation and Interdependence in Arrival and Service Processes. Mathematics. 11(10). 2280–2280. 7 indexed citations
5.
Krishnamoorthy, A., et al.. (2023). A production inventory model with server breakdown and customer impatience. Annals of Operations Research. 331(2). 1269–1304. 4 indexed citations
6.
Krishnamoorthy, A., et al.. (2022). Multi-Server Queuing Production Inventory System with Emergency Replenishment. Mathematics. 10(20). 3839–3839. 7 indexed citations
7.
Krishnamoorthy, A., et al.. (2022). Product form solutions of some queueing inventory problems in random environment. Journal of Industrial and Management Optimization. 19(10). 7150–7166.
8.
Krishnamoorthy, A., et al.. (2021). Queueing-Inventory with One Essential and m Optional Items with Environment Change Process Forming Correlated Renewal Process (MEP). Mathematics. 10(1). 104–104. 7 indexed citations
9.
Krishnamoorthy, A., et al.. (2020). A $ {BMAP/BMSP/1} $ queue with Markov dependent arrival and Markov dependent service batches. Journal of Industrial and Management Optimization. 17(5). 2925–2925. 9 indexed citations
10.
Dudin, Alexander, et al.. (2019). A two-priority single server retrial queue with additional items. Journal of Industrial and Management Optimization. 16(6). 2891–2912. 8 indexed citations
11.
Krishnamoorthy, A., et al.. (2016). A RELOOK AT QUEUEING-INVENTORY SYSTEM WITH RESERVATION, CANCELLATION AND COMMON LIFE TIME. 20(4). 4 indexed citations
12.
Krishnamoorthy, A., et al.. (2016). Reliability of a k-out-of-n system with repair by a single server extending service to external customers with pre-emption. Reliability: Theory & Applications. 11. 3 indexed citations
13.
Krishnamoorthy, A., et al.. (2012). An M/M/2 Queueing System with Heterogeneous Servers Including One with Working Vacation. International Journal of Stochastic Analysis. 2012. 1–16. 19 indexed citations
14.
Chakravarthy, Srinivas, et al.. (2012). MAP / PH /1 queue with working vacations, vacation interruptions and N policy. Applied Mathematical Modelling. 37(6). 3879–3893. 30 indexed citations
15.
Krishnamoorthy, A., Viswanath C. Narayanan, & Srinivas Chakravarthy. (2009). The impact of priority generations in a multi-priority queueing system: a simulation approach. Winter Simulation Conference. 1622–1633. 2 indexed citations
16.
Krishnamoorthy, A., et al.. (2008). MAP/(PH/PH)/c Queue with Self-Generation of Priorities and Non-Preemptive Service. Stochastic Analysis and Applications. 26(6). 1250–1266. 19 indexed citations
17.
Gómez‐Corral, A., A. Krishnamoorthy, & Viswanath C. Narayanan. (2005). The Impact of Self-Generation of Priorities on Multi-Server Queues with Finite Capacity. Stochastic Models. 21(2-3). 427–447. 12 indexed citations
18.
Krishnamoorthy, A., et al.. (2005). On a Queueing System with Self Generation of Priorities.. 13. 119–130. 5 indexed citations
19.
Krishnamoorthy, A., et al.. (2000). A queueing system with single arrival bulk service and single departure. Mathematical and Computer Modelling. 31(2-3). 99–108. 9 indexed citations
20.
Krishnamoorthy, A., et al.. (1995). On GIX(u)/G/∞ queue. 6(3). 59–67.

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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