Harikrishna Narasimhan

1.7k total citations
49 papers, 644 citations indexed

About

Harikrishna Narasimhan is a scholar working on Artificial Intelligence, Management Science and Operations Research and Civil and Structural Engineering. According to data from OpenAlex, Harikrishna Narasimhan has authored 49 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 12 papers in Management Science and Operations Research and 9 papers in Civil and Structural Engineering. Recurrent topics in Harikrishna Narasimhan's work include Machine Learning and Algorithms (12 papers), Imbalanced Data Classification Techniques (11 papers) and Machine Learning and Data Classification (9 papers). Harikrishna Narasimhan is often cited by papers focused on Machine Learning and Algorithms (12 papers), Imbalanced Data Classification Techniques (11 papers) and Machine Learning and Data Classification (9 papers). Harikrishna Narasimhan collaborates with scholars based in United States, India and Denmark. Harikrishna Narasimhan's co-authors include Shivani Agarwal, David C. Parkes, Zhe Feng, Maya R. Gupta, Andrew Cotter, Michael Yit Lin Chew, Purushottam Kar, Paul Dütting, Sanjay Chawla and Yaron Singer and has published in prestigious journals such as Communications of the ACM, Construction and Building Materials and Journal of the ACM.

In The Last Decade

Harikrishna Narasimhan

47 papers receiving 619 citations

Peers

Countries citing papers authored by Harikrishna Narasimhan

Since Specialization

Citations

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

Fields of papers citing papers by Harikrishna Narasimhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harikrishna Narasimhan

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

#	Work	Indexed citations
1	Regression Aware Inference with LLMs 2024 ·Michał Łukasik, Harikrishna Narasimhan, Aditya Krishna Menon, Felix Yu, Sanjiv Kumar	0
2	Optimal Auctions through Deep Learning: Advances in Differentiable Economics 2023 ·Journal of the ACM ·Paul Dütting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, (unknown)	18
3	When Does Confidence-Based Cascade Deferral Suffice? 2023 ·(unknown), Wittawat Jitkrittum, (unknown), Aditya Krishna Menon, Harikrishna Narasimhan, (unknown)	0
4	Approximate Heavily-Constrained Learning with Lagrange Multiplier Models 2020 ·Neural Information Processing Systems ·Harikrishna Narasimhan, Andrew Cotter, Yichen Zhou, (unknown), (unknown)	2
5	On Making Stochastic Classifiers Deterministic 2019 ·Neural Information Processing Systems ·Andrew Cotter, Maya R. Gupta, Harikrishna Narasimhan	1
6	Optimal Auctions through Deep Learning 2019 ·International Conference on Machine Learning ·(unknown), Zhe Feng, Harikrishna Narasimhan, David C. Parkes, (unknown)	37
7	Optimizing Generalized Rate Metrics with Three Players 2019 ·Neural Information Processing Systems ·Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta	4
8	Learning with Complex Loss Functions and Constraints. 2018 ·International Conference on Artificial Intelligence and Statistics ·Harikrishna Narasimhan	23
9	Deep Learning for Revenue-Optimal Auctions with Budgets 2018 ·Adaptive Agents and Multi-Agents Systems ·Zhe Feng, Harikrishna Narasimhan, David C. Parkes	15
10	A general statistical framework for designing strategy-proof assignment mechanisms 2016 ·Digital Access to Scholarship at Harvard (DASH) (Harvard University) ·Harikrishna Narasimhan, David C. Parkes	3
11	Stochastic Optimization Techniques for Quantification Performance Measures 2016 ·Harikrishna Narasimhan, Shuai Li, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani	4
12	Optimizing the Multiclass F-Measure via Biconcave Programming 2016 ·Harikrishna Narasimhan, Weiwei Pan, Purushottam Kar, Pavlos Protopapas, Harish G. Ramaswamy	19
13	Bayes optimal feature selection for supervised learning with general performance measures 2015 ·Uncertainty in Artificial Intelligence ·(unknown), Harikrishna Narasimhan, Shivani Agarwal	1
14	Learnability of influence in networks 2015 ·Digital Access to Scholarship at Harvard (DASH) (Harvard University) ·Harikrishna Narasimhan, David C. Parkes, Yaron Singer	24
15	Consistent Multiclass Algorithms for Complex Performance Measures 2015 ·International Conference on Machine Learning ·Harikrishna Narasimhan, Harish G. Ramaswamy, (unknown), Shivani Agarwal	11
16	On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures 2014 ·Neural Information Processing Systems ·Harikrishna Narasimhan, (unknown), Shivani Agarwal	32
17	A Structural SVM Based Approach for Optimizing Partial AUC 2013 ·International Conference on Machine Learning ·Harikrishna Narasimhan, Shivani Agarwal	37
18	On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance 2013 ·International Conference on Machine Learning ·Aditya Krishna Menon, Harikrishna Narasimhan, Shivani Agarwal, Sanjay Chawla	33
19	On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation 2013 ·Neural Information Processing Systems ·Harikrishna Narasimhan, Shivani Agarwal	16
20	Towards a Cooperative Defense Model Against Network Security Attacks. 2010 ·Harikrishna Narasimhan, Venkatanathan Varadarajan, C. Pandu Rangan	8

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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