Hari Om
Impact in
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- AI in cancer detection
- Text and Document Classification Technologies
Papers in
-
- Imbalanced Data Classification Techniques 3
- Natural Language Processing Techniques 2
- Advanced Text Analysis Techniques 2
-
- Data Mining Algorithms and Applications 6
- Co-authors
- Neha Sharma (9 shared papers)Pradeepika Verma (2 shared papers)Gaurav Agarwal (2 shared papers)Pramod Kumar Kushawaha (2 shared papers)Kavita Kavita (1 shared paper)Vandana Patravale (1 shared paper)Sachin Kumar Singh (1 shared paper)Sukriti Vishwas (1 shared paper)
- Journals
- International Journal of Computational Intelligence Systems (1 paper)Advances in Data Analysis and Classification (1 paper)Multimedia Tools and Applications (1 paper)Journal of Intelligent Information Systems (1 paper)Microbiological Research (1 paper)
- Partner nations
- India
In The Last Decade
Hari Om
22 papers receiving 264 citations
Peers
Comparison fields: 5 of 80
- Otorhinolaryngology 26
- Artificial Intelligence 140
- Health Information Management 16
- Signal Processing 29
- Periodontics 10
Countries citing papers authored by Hari Om
This map shows the geographic impact of Hari Om'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 Hari Om with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hari Om more than expected).
Fields of papers citing papers by Hari Om
This network shows the impact of papers produced by Hari Om. 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 Hari Om. The network helps show where Hari Om may publish in the future.
Co-authors
The 8 scholars most cited alongside Hari Om, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 57 | |
| 2 | 2023 | 42 | |
| 3 | 2015 | 28 | |
| 4 | 2013 | 27 | |
| 5 | 2022 | 20 | |
| 6 | 2021 | 18 | |
| 7 | 2016 | 11 | |
| 8 | 2014 | 11 | |
| 9 | 2014 | 9 | |
| 10 | 2014 | 8 | |
| 11 | 2014 | 7 | |
| 12 | 2018 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2015 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2018 | 4 | |
| 17 | 2017 | 3 | |
| 18 | 2015 | 2 | |
| 19 | 2017 | 2 | |
| 20 | 2025 | 1 |
About Hari Om
Hari Om is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Molecular Biology and Computational Theory and Mathematics, having authored 22 papers that have together received 277 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (6 papers), Rough Sets and Fuzzy Logic (4 papers), Imbalanced Data Classification Techniques (3 papers), Speech and Audio Processing (3 papers), Gene expression and cancer classification (2 papers), Data Management and Algorithms (2 papers), Natural Language Processing Techniques (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Otorhinolaryngology (26 citations), Artificial Intelligence (140 citations), Health Information Management (16 citations), Signal Processing (29 citations) and Periodontics (10 citations). Hari Om has collaborated with scholars based in India. Frequent co-authors include Neha Sharma, Pradeepika Verma, Gaurav Agarwal, Pramod Kumar Kushawaha, Kavita Kavita, Vandana Patravale, Sachin Kumar Singh and Sukriti Vishwas. Their work appears in journals such as International Journal of Computational Intelligence Systems, Advances in Data Analysis and Classification, Multimedia Tools and Applications, Journal of Intelligent Information Systems and Microbiological Research.
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.