Vitobha Munigala

449 total citations
12 papers, 260 citations indexed

About

Vitobha Munigala is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vitobha Munigala has authored 12 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vitobha Munigala's work include Anomaly Detection Techniques and Applications (4 papers), Data Quality and Management (3 papers) and Building Energy and Comfort Optimization (2 papers). Vitobha Munigala is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Data Quality and Management (3 papers) and Building Energy and Comfort Optimization (2 papers). Vitobha Munigala collaborates with scholars based in India, United States and Germany. Vitobha Munigala's co-authors include Ruhi Sharma Mittal, Shashank Mujumdar, Shanmukha Guttula, Nitin Gupta, Hima Patel, Sameep Mehta, Shazia Afzal, Abhinav Jain, Krithi Ramamritham and Sambaran Bandyopadhyay and has published in prestigious journals such as IT Professional.

In The Last Decade

Vitobha Munigala

10 papers receiving 251 citations

Peers

Vitobha Munigala

AI

MSOR

CVPR

EEE

IS

Ruhi Sharma Mittal India

Shashank Mujumdar India

Shanmukha Guttula India

Hima Patel India

Andri Pranolo Indonesia

Matteo Francia Italy

Saurabh Pratap Singh Rathore India

Laïla Benhlima Morocco

J. de Curtò Spain

Tianxiang Zhao United States

Ruhi Sharma Mittal India

Vitobha Munigala

128 ×1.2

AI

40 ×1.1

MSOR

30 ×0.9

CVPR

13 ×0.4

EEE

33 ×1.1

IS

Citations per year, relative to Vitobha Munigala Vitobha Munigala (= 1×) peers Ruhi Sharma Mittal

Countries citing papers authored by Vitobha Munigala

Since Specialization

Citations

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

Fields of papers citing papers by Vitobha Munigala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vitobha Munigala

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

All Works

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12 of 12 papers shown

1.

Munigala, Vitobha, et al.. (2025). ETF: An Entity Tracing Framework for Hallucination Detection in Code Summaries. 30639–30652.

2.

Jain, Ayush, et al.. (2022). Towards Context-based Model Selection for Improved Crop Price Forecasting. 195–203. 3 indexed citations

3.

Patel, Hima, Nitin Gupta, Ruhi Sharma Mittal, et al.. (2022). Automatic Assessment of Quality of your Data for AI. 354–357. 6 indexed citations

4.

Gupta, Nitin, Shashank Mujumdar, Hima Patel, et al.. (2021). Data Quality for Machine Learning Tasks. 4040–4041. 59 indexed citations

5.

Agarwal, Arvind, Laura Chiticariu, Marina Danilevsky, et al.. (2021). Development of an Enterprise-Grade Contract Understanding System. 222–229.

6.

Jain, Abhinav, Hima Patel, Nitin Gupta, et al.. (2020). Overview and Importance of Data Quality for Machine Learning Tasks. 3561–3562. 156 indexed citations

7.

Munigala, Vitobha, et al.. (2018). PersuAIDE ! An Adaptive Persuasive Text Generation System for Fashion Domain. 335–342. 7 indexed citations

8.

Agarwal, Arvind, et al.. (2017). Cognitive Compliance for Financial Regulations. IT Professional. 19(4). 28–35. 6 indexed citations

9.

Jaiswal, Kavita, et al.. (2016). Observability-driven Sensor Deployment in Smart Academic Environments. 328–329. 1 indexed citations

10.

Munigala, Vitobha, et al.. (2016). Observability. 1–2. 4 indexed citations

11.

Munigala, Vitobha, et al.. (2016). Observability. 197–206. 14 indexed citations

12.

Prakash, Anand Krishnan, et al.. (2015). Demo Abstract. 191–192. 4 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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