Yonis Gulzar

3.1k citations
109 papers · 1.9k indexed · 2 hit papers · h-index 26

Impact in

    • Spectroscopy and Chemometric Analyses
    • Smart Agriculture and AI
    • Plant Disease Management Techniques
    • Date Palm Research Studies

Papers in

Yonis Gulzar

94 papers receiving 1.9k citations

Hit Papers

Enhancing Image Annotation Technique of Fruit Classification Using a Deep Learning Approach 2023 · 98 citations
98202320262024202550100150200

Peers

Yonis Gulzar
Comparison fields: 5 of 138
  • Analytical Chemistry 320
  • Plant Science 721
  • Signal Processing 151
  • Health Informatics 19
  • Neurology 114
Replace Ali A. Alwan with:
Ali A. Alwan Malaysia
Amandeep Kaur India
Sandeep Kumar India
Deepali Gupta India
Satvik Vats India
Chastine Fatichah Indonesia
Vijaypal Singh Dhaka India
Divya Anand India
Mohammed Eunus Ali Bangladesh
Saleh Albahli Saudi Arabia
Yonis Gulzar relative to Ali A. Alwan Malaysia Ali A. Alwan's profile →
Citations per field
00.5×
Ali A. Alwan · 1×
Citations per year

Countries citing papers authored by Yonis Gulzar

Since Specialization
Citations

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

Fields of papers citing papers by Yonis Gulzar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20253
3 20254
4 20251
5 20251
6 20240
7 202438
8 202415
9 202428
10 20240
11 20244
12 20233
13 202330
14 202362
15
Enhancing Image Annotation Technique of Fruit Classification Using a Deep Learning Approach
Hit paper breakdown →
202398
16 202329
17 202310
18 202318
19 202373
20 20213

About Yonis Gulzar

Yonis Gulzar is a scholar working on Signal Processing, Health Informatics, Computer Networks and Communications, Geography, Planning and Development and Information Systems, having authored 109 papers that have together received 1.9k indexed citations. Recurring topics across this work include Smart Agriculture and AI (19 papers), Data Management and Algorithms (14 papers), Advanced Database Systems and Queries (12 papers), IoT and Edge/Fog Computing (10 papers), Constraint Satisfaction and Optimization (7 papers), Geographic Information Systems Studies (7 papers), Network Security and Intrusion Detection (6 papers) and Blockchain Technology Applications and Security (6 papers). The work is most often cited by research in Analytical Chemistry (320 citations), Plant Science (721 citations), Signal Processing (151 citations), Health Informatics (19 citations) and Neurology (114 citations). Yonis Gulzar has collaborated with scholars based in Saudi Arabia, India and Malaysia. Frequent co-authors include Ali A. Alwan, Arjumand Bano Soomro, Yasir Hamid, Sameer Khan, Faheem Ahmad Reegu, Mohammad Shuaib Mir, Sherzod Turaev, Zeynep Ünal, Abid Mehmood and Abdoh Jabbari. Their work appears in journals such as Sustainability, IEEE Access, Symmetry, Scientific Reports and MethodsX.

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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