Y. Narahari

3.8k total citations
146 papers, 2.3k citations indexed

About

Y. Narahari is a scholar working on Management Science and Operations Research, Management Information Systems and Computer Networks and Communications. According to data from OpenAlex, Y. Narahari has authored 146 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Management Science and Operations Research, 59 papers in Management Information Systems and 28 papers in Computer Networks and Communications. Recurrent topics in Y. Narahari's work include Auction Theory and Applications (68 papers), Supply Chain and Inventory Management (34 papers) and Consumer Market Behavior and Pricing (24 papers). Y. Narahari is often cited by papers focused on Auction Theory and Applications (68 papers), Supply Chain and Inventory Management (34 papers) and Consumer Market Behavior and Pricing (24 papers). Y. Narahari collaborates with scholars based in India, United States and Singapore. Y. Narahari's co-authors include N. Viswanadham, Ramasuri Narayanam, T.L. Johnson, Soma Biswas, C.V.L. Raju, Sujit Gujar, Shweta Jain, Neeraj Suri, Palash Dey and Jeffrey D. Tew and has published in prestigious journals such as European Journal of Operational Research, IEEE Journal on Selected Areas in Communications and Journal of the Operational Research Society.

In The Last Decade

Y. Narahari

140 papers receiving 2.2k citations

Peers

Y. Narahari

IME

MSOR

MIS

CTM

SNP

N. Viswanadham India

Rakesh Vohra United States

Enver Yücesan France

R. Ravi United States

Benjamin Melamed United States

Milind Dawande United States

Eitan Zemel United States

Gary J. Kœhler United States

Berthold Vöcking Germany

Wansheng Tang China

N. Viswanadham India

Y. Narahari

1.1k ×1.5

IME

275 ×0.4

MSOR

992 ×1.5

MIS

888 ×1.5

CTM

103 ×0.3

SNP

Citations per year, relative to Y. Narahari Y. Narahari (= 1×) peers N. Viswanadham

Countries citing papers authored by Y. Narahari

Since Specialization

Citations

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

Fields of papers citing papers by Y. Narahari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Narahari

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

Gujar, Sujit, et al.. (2018). Design of Coalition Resistant Credit Score Functions for Online Discussion Forums. ePrints@IISc (Indian Institute of Science). 95–103. 2 indexed citations

Gujar, Sujit, et al.. (2017). Referral-Embedded Provision Point Mechanisms for Crowdfunding of Public Projects. Adaptive Agents and Multi-Agents Systems. 642–650. 1 indexed citations

Jain, Shweta, et al.. (2017). Analysis of Thompson Sampling for Stochastic Sleeping Bandits.. Uncertainty in Artificial Intelligence. 7 indexed citations

Jain, Shweta, et al.. (2017). Thompson Sampling Based Mechanisms for Stochastic Multi-Armed Bandit Problems. Adaptive Agents and Multi-Agents Systems. 87–95. 3 indexed citations

Dey, Palash, Neeldhara Misra, & Y. Narahari. (2017). Parameterized Dichotomy of Choosing Committees Based on Approval Votes in the Presence of Outliers. Adaptive Agents and Multi-Agents Systems. 783. 42–50. 4 indexed citations

Jain, Shweta, et al.. (2016). A Deterministic MAB Mechanism for Crowdsourcing with Logarithmic Regret and Immediate Payments. Adaptive Agents and Multi-Agents Systems. 86–94. 7 indexed citations

Biswas, Arpita, et al.. (2015). A Truthful Budget Feasible Multi-Armed Bandit Mechanism for Crowdsourcing Time Critical Tasks. Adaptive Agents and Multi-Agents Systems. 1101–1109. 23 indexed citations

Dey, Palash, Neeldhara Misra, & Y. Narahari. (2015). Detecting Possible Manipulators in Elections. arXiv (Cornell University). 1441–1450. 7 indexed citations

Narahari, Y., et al.. (2015). A Multi-phase Approach for Improving Information Diffusion in Social Networks. Adaptive Agents and Multi-Agents Systems. 1787–1788. 1 indexed citations

10.

Narahari, Y., et al.. (2015). Profit Maximizing Prior-free Multi-unit Procurement Auctions with Capacitated Sellers. arXiv (Cornell University). 1753–1754. 4 indexed citations

11.

Gujar, Sujit, et al.. (2014). A mechanism to optimally balance cost and quality of labeling tasks outsourced to strategic agents. Adaptive Agents and Multi-Agents Systems. 917–924. 2 indexed citations

12.

Jain, Shweta, Sujit Gujar, Onno Zoeter, & Y. Narahari. (2014). A quality assuring multi-armed bandit crowdsourcing mechanism with incentive compatible learning. Adaptive Agents and Multi-Agents Systems. 1609–1610. 6 indexed citations

13.

Narahari, Y., et al.. (2014). A novel ex-post truthful mechanism for multi-slot sponsored search auctions. Adaptive Agents and Multi-Agents Systems. 1555–1556. 3 indexed citations

14.

Dey, Palash & Y. Narahari. (2014). Asymptotic collusion-proofness of voting rules: the case of large number of candidates. Adaptive Agents and Multi-Agents Systems. 1419–1420. 3 indexed citations

15.

Narahari, Y., et al.. (2013). Eliciting high quality feedback from crowdsourced tree networks using continuous scoring rules. Adaptive Agents and Multi-Agents Systems. 279–286. 4 indexed citations

16.

Karnik, Aditya, et al.. (2012). Optimal incentive timing strategies for product marketing on social networks. Adaptive Agents and Multi-Agents Systems. 703–710. 9 indexed citations

17.

Narahari, Y., et al.. (2011). Incentive compatible influence maximization in social networks and application to viral marketing. arXiv (Cornell University). 1081–1082. 5 indexed citations

18.

Suri, Neeraj & Y. Narahari. (2008). Determining the top-k nodes in social networks using the Shapley value. Adaptive Agents and Multi-Agents Systems. 1509–1512. 39 indexed citations

19.

Narahari, Y., et al.. (2007). Bidding Dynamics of Rational Advertisers in Sponsored Search Auctions on the Web. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 1 indexed citations

20.

Narahari, Y., et al.. (2002). IMPROVE: An Innovative Market for e-Procurement.. International Conference on Artificial Intelligence. 38–44. 1 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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