Ebenezer Daniel

731 citations
24 papers · 534 indexed · h-index 10

Ebenezer Daniel

22 papers receiving 517 citations

Peers

Ebenezer Daniel
Comparison fields: 5 of 93
  • Media Technology 209
  • Computer Vision and Pattern Recognition 224
  • Radiology, Nuclear Medicine and Imaging 130
  • Neurology 26
  • Artificial Intelligence 79
Replace Guangzhe Zhao with:
Guangzhe Zhao China
Muhammad Adeel Azam Italy
Neil Birkbeck United States
Yihua Huang China
Yinan Chen China
Cícero Ferreira Fernandes Costa Filho Brazil
M. G. F. Costa Brazil
Xiaobin Hu China
Xiaosong Li China
Khan Bahadar Khan Pakistan
Ebenezer Daniel relative to Guangzhe Zhao China Guangzhe Zhao's profile →
Citations per field
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Guangzhe Zhao · 1×
Citations per year

Countries citing papers authored by Ebenezer Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Ebenezer Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ebenezer Daniel, 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 Ebenezer Daniel Line = papers co-authored together Ebenezer Daniel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20241
4 20232
5 20229
6 20214
7 202142
8 20211
9 20219
10 202041
11 202040
12 20202
13 20203
14 20205
15 20199
16 201897
17 201765
18 201640
19 201537
20 20144

About Ebenezer Daniel

Ebenezer Daniel is a scholar working on Media Technology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Genetics and Internal Medicine, having authored 24 papers that have together received 534 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (7 papers), Image Enhancement Techniques (5 papers), Image and Signal Denoising Methods (4 papers), Glioma Diagnosis and Treatment (3 papers), Brain Metastases and Treatment (3 papers), Cancer-related cognitive impairment studies (3 papers), Advanced MRI Techniques and Applications (3 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Media Technology (209 citations), Computer Vision and Pattern Recognition (224 citations), Radiology, Nuclear Medicine and Imaging (130 citations), Neurology (26 citations) and Artificial Intelligence (79 citations). Ebenezer Daniel has collaborated with scholars based in India, United States and Nigeria. Frequent co-authors include J. Anitha, Koramadai Karuppusamy Kamaleshwaran, Sitaramanjaneya Reddy Guntur, Bihong T. Chen, Sagus Sampath, Chi Wah Wong, Ravi Salgia, Andrei I. Holodny, Ningrong Ye and Russell C. Rockne. Their work appears in journals such as Optik, Neuroradiology, Frontiers in Aging Neuroscience, Knowledge-Based Systems and Computers in Biology and Medicine.

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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