Hima Patel

522 citations
9 papers · 240 indexed · h-index 5
Topics
Data Quality and Management (4 papers)Anomaly Detection Techniques and Applications (3 papers)Big Data and Business Intelligence (2 papers)
Journals
Journal of Data and Information QualityProceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Partner nations
IndiaUnited StatesFrance

In The Last Decade

Hima Patel

5 papers receiving 232 citations

Peers

Hima Patel
Comparison fields: 5 of 87
  • Artificial Intelligence 110
  • Management Science and Operations Research 39
  • Information Systems 30
  • Computer Vision and Pattern Recognition 24
  • Management Information Systems 23
Replace Shanmukha Guttula with:
Shanmukha Guttula India
Ruhi Sharma Mittal India
Shashank Mujumdar India
Vitobha Munigala India
Micah J. Smith United States
Weiping Ding China
Arkady Borisov Latvia
Daniel Harborne United Kingdom
Jiayang Wu China
Gurpreet Singh India
Hima Patel relative to Shanmukha Guttula India Shanmukha Guttula's profile →
Citations per field
00.5×1.5×
Shanmukha Guttula · 1×
Citations per year

Countries citing papers authored by Hima Patel

Since Specialization
Citations

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

Fields of papers citing papers by Hima Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hima Patel

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 8
5 6
6 11
7 59
8 156
9 0

About Hima Patel

Hima Patel is a scholar working on Management Science and Operations Research, Artificial Intelligence and Management Information Systems, having authored 9 papers that have together received 240 indexed citations. Recurring topics across this work include Data Quality and Management (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Big Data and Business Intelligence (2 papers). The work is most often cited by research in Health Informatics (7 citations), Artificial Intelligence (110 citations) and Management Science and Operations Research (39 citations). Hima Patel has collaborated with scholars based in India, United States and France. Frequent co-authors include Ruhi Sharma Mittal, Shanmukha Guttula, Nitin Gupta, Shazia Afzal, Shashank Mujumdar, Vitobha Munigala, Sameep Mehta, Abhinav Jain, Sambaran Bandyopadhyay and Naresh Manwani. Their work appears in journals such as Journal of Data and Information Quality and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

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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