Pranay Lohia

1.7k total citations
13 papers, 650 citations indexed

About

Pranay Lohia is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Pranay Lohia has authored 13 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Pranay Lohia's work include Explainable Artificial Intelligence (XAI) (4 papers), Ethics and Social Impacts of AI (3 papers) and Adversarial Robustness in Machine Learning (3 papers). Pranay Lohia is often cited by papers focused on Explainable Artificial Intelligence (XAI) (4 papers), Ethics and Social Impacts of AI (3 papers) and Adversarial Robustness in Machine Learning (3 papers). Pranay Lohia collaborates with scholars based in India, United States and Canada. Pranay Lohia's co-authors include Diptikalyan Saha, Kuntal Dey, Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Sameep Mehta, Kalapriya Kannan, Prasanna Sattigeri, Aleksandra Mojsilović, Rachel Bellamy and John T. Richards and has published in prestigious journals such as IBM Journal of Research and Development, Proceedings of the VLDB Endowment and IEEE Software.

In The Last Decade

Pranay Lohia

11 papers receiving 613 citations

Peers

Countries citing papers authored by Pranay Lohia

Since Specialization

Citations

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

Fields of papers citing papers by Pranay Lohia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranay Lohia

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	High Significant Fault Detection in Azure Core Workload Insights 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Pranay Lohia, (unknown), (unknown), (unknown)	1
2	SPASE: Spatial Saliency Explanation For Time Series Models 2024 ·Pranay Lohia, Badri N. Patro, (unknown), (unknown)	0
3	Beyond Fairness: Reparative Algorithms to Address Historical Injustices of Housing Discrimination in the US 2022 ·(unknown), Pranay Lohia, (unknown), A. E. Hosoi, Catherine D’Ignazio	22
4	Ranking Marginal Influencers in a Target-labeled Network 2020 ·Pranay Lohia, Kalapriya Kannan, (unknown), Srikanta Bedathur	2
5	Black box fairness testing of machine learning models 2019 ·(unknown), Pranay Lohia, Seema Nagar, Kuntal Dey, Diptikalyan Saha	101
6	Think Your Artificial Intelligence Software Is Fair? Think Again 2019 ·IEEE Software ·Rachel Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Sameep Mehta, Aleksandra Mojsilović, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang	16
7	AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias 2019 ·IBM Journal of Research and Development ·Rachel Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilović, S. Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Manjeet Singh, Kush R. Varshney, (unknown)	422
8	On Efficiently Processing Workflow Provenance Queries in Spark 2019 ·(unknown), Pranay Lohia, Himanshu Gupta, (unknown), Mauricio A. Hernández, Sameep Mehta	3
9	Bias Mitigation Post-processing for Individual and Group Fairness 2019 ·Pranay Lohia, Karthikeyan Natesan Ramamurthy, Manish Bhide, Diptikalyan Saha, Kush R. Varshney, Ruchir Puri	69
10	Tooling framework for instantiating natural language querying system 2018 ·Proceedings of the VLDB Endowment ·(unknown), (unknown), (unknown), Sagar Verma, (unknown), (unknown), Pranay Lohia, (unknown), Diptikalyan Saha, Karthik Sankaranarayanan	5
11	DataVizard 2018 ·(unknown), Pranay Lohia, Srikanta Bedathur	6
12	Video analysis of “YouTube funnies” to aid the study of human gait and falls - preliminary results and proof of concept 2017 ·PubMed ·Babak Taati, Pranay Lohia, Avril Mansfield, Ahmed Ashraf	2
13	Provenance in Context of Hadoop as a Service (HaaS) - State of the Art and Research Directions 2017 ·Himanshu Gupta, Sameep Mehta, Sandeep Hans, (unknown), Pranay Lohia, (unknown)	1

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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