Manjaiah D. Huchaiah

621 citations
10 papers · 390 indexed · 1 hit paper · h-index 6
Topics
Human Mobility and Location-Based Analysis (3 papers)Recommender Systems and Techniques (3 papers)Context-Aware Activity Recognition Systems (3 papers)
Partner nations
IndiaAfghanistanEgypt

In The Last Decade

Manjaiah D. Huchaiah

9 papers receiving 370 citations

Hit Papers

Grid search in hyperparameter optimization of machine lea...2021202620222024202150100150200250

Peers

Manjaiah D. Huchaiah
Comparison fields: 5 of 114
  • Artificial Intelligence 128
  • Information Systems 84
  • Computer Vision and Pattern Recognition 59
  • Computer Networks and Communications 40
  • Health Information Management 27
Replace Srishti Verma with:
Srishti Verma India
Ioannis Rallis Greece
Awny Sayed Egypt
Narina Thakur India
Atif Rizwan South Korea
Susmita Ray India
Abhay Chaturvedi India
Amanpreet Singh India
Kathrin Seßler Germany
Danilo Medeiros Eler Brazil
Manjaiah D. Huchaiah relative to Srishti Verma India Srishti Verma's profile →
Citations per field
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Srishti Verma · 1×
Citations per year

Countries citing papers authored by Manjaiah D. Huchaiah

Since Specialization
Citations

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

Fields of papers citing papers by Manjaiah D. Huchaiah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manjaiah D. Huchaiah. 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 Manjaiah D. Huchaiah. The network helps show where Manjaiah D. Huchaiah may publish in the future.

Co-authorship network of co-authors of Manjaiah D. Huchaiah

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 30
2 0
3 8
4 16
5 2
6 2
7 30
8 2
9
Grid search in hyperparameter optimization of machine learning models for prediction of HIV/AIDS test resultsbreakdown →
261
10 39

About Manjaiah D. Huchaiah

Manjaiah D. Huchaiah is a scholar working on Transportation, Signal Processing and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 390 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (3 papers), Recommender Systems and Techniques (3 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Health Informatics (9 citations), Health Information Management (27 citations) and Artificial Intelligence (128 citations). Manjaiah D. Huchaiah has collaborated with scholars based in India, Afghanistan and Egypt. Frequent co-authors include Ibrahim Gad and El-Sayed Atlam. Their work appears in journals such as Expert Systems with Applications, Alexandria Engineering Journal and CAAI Transactions on Intelligence Technology.

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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