Gerard Deepak

2.1k citations
159 papers · 1.4k · h-index 22

Impact in

    • Recommender Systems and Techniques
    • Web Data Mining and Analysis
    • Topic Modeling
    • Advanced Text Analysis Techniques
    • Semantic Web and Ontologies
    • Text and Document Classification Technologies

Papers in

    • Topic Modeling 35
    • Semantic Web and Ontologies 30
    • Advanced Text Analysis Techniques 27
    • Text and Document Classification Technologies 21
    • Recommender Systems and Techniques 43
    • Web Data Mining and Analysis 30

Gerard Deepak

131 papers receiving 1.4k citations

Peers

Gerard Deepak
Comparison fields: 5 of 88
  • Information Systems 731
  • Artificial Intelligence 865
  • Computer Science Applications 96
  • Computer Vision and Pattern Recognition 290
  • Signal Processing 97
Replace Cheng–Te Li with:
Cheng–Te Li Taiwan
Zongyang Ma Singapore
Ema Utami Indonesia
Qiudan Li China
Madian Khabsa United States
Carlo Tasso Italy
Kwan Hui Lim Singapore
Tiago Rodrigues Brazil
Sujith Samuel Mathew United Arab Emirates
H. Cenk Özmutlu Türkiye
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Citations per field
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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 22 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 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018100
2 202174
3 201861
4 202054
5 201949
6 202045
7 202138
8 201937
9 201735
10 201934
11 202034
12 201932
13 201630
14 201929
15 201526
16 202026
17 201923
18 202023
19 202023
20 202123

About Gerard Deepak

Gerard Deepak is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Management Science and Operations Research, having authored 159 papers that have together received 1.4k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (43 papers), Topic Modeling (35 papers), Image Retrieval and Classification Techniques (33 papers), Web Data Mining and Analysis (30 papers), Semantic Web and Ontologies (30 papers), Advanced Text Analysis Techniques (27 papers), Text and Document Classification Technologies (21 papers) and Advanced Image and Video Retrieval Techniques (19 papers). The work is most often cited by research in Information Systems (731 citations), Artificial Intelligence (865 citations), Computer Science Applications (96 citations), Computer Vision and Pattern Recognition (290 citations) and Signal Processing (97 citations). Gerard Deepak has collaborated with scholars based in India, United States and Canada. Frequent co-authors include A. Santhanavijayan, Praveen SV, Rajesh Ittamalla, J Thriveni, V. Adithya, K R Venugopal, Krishnan Nallaperumal, K. R. Venugopal, S H Manjula and C. Mala. Their work appears in journals such as Computers & Electrical Engineering, Thermal Science and Engineering Progress, Diabetes & Metabolic Syndrome Clinical Research & Reviews, 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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