Gerard Deepak

2.1k citations
57 papers · 482 · h-index 11

Impact in

Papers in

    • Semantic Web and Ontologies 14
    • Topic Modeling 8
    • Text and Document Classification Technologies 5
    • Advanced Text Analysis Techniques 5
    • Recommender Systems and Techniques 16
    • Web Data Mining and Analysis 7
    • Service-Oriented Architecture and Web Services 5

Gerard Deepak

51 papers receiving 454 citations

Peers

Gerard Deepak
Comparison fields: 5 of 77
  • Artificial Intelligence 283
  • Computer Science Applications 44
  • Information Systems 163
  • Health 53
  • Modeling and Simulation 11
Replace Shuiqiao Yang with:
Shuiqiao Yang Australia
Arash Molavi Kakhki United States
María del Pilar Salas‐Zárate Spain
Maja Hadzic Australia
Farshad Kooti United States
Luca Cernuzzi Paraguay
Stephen Kimani Italy
Ernesto Diaz-Aviles Germany
Sharifullah Khan Pakistan
Seda Özmutlu Türkiye
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Citations per field
00.5×10×15.3×
Shuiqiao Yang · 1×
Citations per year

Countries citing papers authored by Gerard Deepak

Since Specialization
Citations

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

Fields of papers citing papers by Gerard Deepak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Gerard Deepak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gerard Deepak Line = papers co-authored together Gerard Deepak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202171
2 201867
3 202134
4 202021
5 201921
6 201820
7 201616
8 201815
9 201915
10 201514
11 201914
12 202010
13 202110
14 201910
15 20169
16 20199
17 20199
18 20248
19 20137
20 20167

About Gerard Deepak

Gerard Deepak is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Molecular Biology, having authored 57 papers that have together received 482 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (16 papers), Semantic Web and Ontologies (14 papers), Image Retrieval and Classification Techniques (9 papers), Topic Modeling (8 papers), Web Data Mining and Analysis (7 papers), Text and Document Classification Technologies (5 papers), Service-Oriented Architecture and Web Services (5 papers) and Advanced Text Analysis Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (283 citations), Computer Science Applications (44 citations), Information Systems (163 citations), Health (53 citations) and Modeling and Simulation (11 citations). Gerard Deepak has collaborated with scholars based in India, Iraq and Saudi Arabia. Frequent co-authors include Rajesh Ittamalla, Praveen SV, A. Santhanavijayan, J Thriveni, K. R. Venugopal, Krishnan Nallaperumal, K R Venugopal, C. Mala, M. Jaya Bharata Reddy and Dusmanta Kumar Mohanta. Their work appears in journals such as Computers & Electrical Engineering, Diabetes & Metabolic Syndrome Clinical Research & Reviews, Thermal Science and Engineering Progress, Journal of X-Ray Science and Technology and Computer Communications.

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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