Rajeshreddy Datla

603 citations
19 papers · 327 indexed · h-index 8
Topics
Remote-Sensing Image Classification (8 papers)Advanced Image and Video Retrieval Techniques (5 papers)Advanced Image Fusion Techniques (3 papers)
Partner nations
IndiaNorwaySingapore

In The Last Decade

Rajeshreddy Datla

17 papers receiving 299 citations

Peers

Rajeshreddy Datla
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 164
  • Artificial Intelligence 73
  • Media Technology 69
  • Aerospace Engineering 50
  • Biomedical Engineering 35
Replace Vishnu Chalavadi with:
Vishnu Chalavadi India
Mortuza Ali Australia
Haoran Wang China
Tao Lu China
Ashraf S. Hussein Egypt
Zhixiang Chen China
Le Zou China
Jian Lü China
Zhengwu Yuan China
Rajeshreddy Datla relative to Vishnu Chalavadi India Vishnu Chalavadi's profile →
Citations per field
00.5×2.9×
Vishnu Chalavadi · 1×
Citations per year

Countries citing papers authored by Rajeshreddy Datla

Since Specialization
Citations

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

Fields of papers citing papers by Rajeshreddy Datla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajeshreddy Datla

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 3
3 0
4 19
5 5
6 7
7 3
8 27
9 6
10 2
11 38
12 99
13 1
14 26
15 59
16 17
17 12
18 1
19 2

About Rajeshreddy Datla

Rajeshreddy Datla is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 19 papers that have together received 327 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (8 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Image Fusion Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (164 citations), Media Technology (69 citations) and Business and International Management (6 citations). Rajeshreddy Datla has collaborated with scholars based in India, Norway and Singapore. Frequent co-authors include C. Krishna Mohan, Vishnu Chalavadi, Sobhan Babu, Jeripothula Prudviraj, Chalavadi Vishnu, Debaditya Roy and Nazil Perveen. Their work appears in journals such as Pattern Recognition, Neurocomputing and Computers & Geosciences.

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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