Harikrishna Narasimhan

1.7k citations
49 papers · 644 indexed · h-index 17
Topics
Machine Learning and Algorithms (12 papers)Imbalanced Data Classification Techniques (11 papers)Machine Learning and Data Classification (9 papers)

In The Last Decade

Harikrishna Narasimhan

47 papers receiving 619 citations

Peers

Harikrishna Narasimhan
Comparison fields: 5 of 100
  • Artificial Intelligence 324
  • Management Science and Operations Research 139
  • Civil and Structural Engineering 93
  • Computer Vision and Pattern Recognition 88
  • Information Systems 55
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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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 18
3 0
4
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models
2
5
On Making Stochastic Classifiers Deterministic
1
6
Optimal Auctions through Deep Learning
37
7
Optimizing Generalized Rate Metrics with Three Players
4
8
Learning with Complex Loss Functions and Constraints.
23
9 15
10
A general statistical framework for designing strategy-proof assignment mechanisms
3
11
Stochastic Optimization Techniques for Quantification Performance Measures
4
12 19
13
Bayes optimal feature selection for supervised learning with general performance measures
1
14
Learnability of influence in networks
24
15
Consistent Multiclass Algorithms for Complex Performance Measures
11
16
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures
32
17
A Structural SVM Based Approach for Optimizing Partial AUC
37
18
On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance
33
19
On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation
16
20
Towards a Cooperative Defense Model Against Network Security Attacks.
8

About Harikrishna Narasimhan

Harikrishna Narasimhan is a scholar working on Management Science and Operations Research, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 49 papers that have together received 644 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (12 papers), Imbalanced Data Classification Techniques (11 papers) and Machine Learning and Data Classification (9 papers). The work is most often cited by research in Management Science and Operations Research (139 citations), Artificial Intelligence (324 citations) and Safety Research (51 citations). Harikrishna Narasimhan has collaborated with scholars based in United States, India and Denmark. Frequent 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. Their work appears in journals such as Communications of the ACM, Construction and Building Materials and Journal of the ACM.

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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