Ali Yaşar

32 papers receiving 717 citations

Ali Yaşar's Hit Papers

Performance Analysis of ANN and Naive Bayes Classification Algorithm for Data Classification 2019 · 277 citations
2770+2+4Years since publication50100150200250

Peers

Ali Yaşar
Comparison fields: 5 of 130
  • Health Information Management 54
  • Analytical Chemistry 114
  • Artificial Intelligence 216
  • Information Systems 94
  • Plant Science 129
Replace Rishabh Sharma with:
Rishabh Sharma India
Satvik Vats India
Anupam Baliyan India
Saleh Albahli Saudi Arabia
Ankit Bansal India
Avinash Sharma India
Bader Alouffi Saudi Arabia
Priyanka Chawla India
Suneet Gupta India
Sultan H. Almotiri Saudi Arabia
Ali Yaşar relative to Rishabh Sharma India Rishabh Sharma's profile →
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Citations per year

Countries citing papers authored by Ali Yaşar

Since Specialization
Citations

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

Fields of papers citing papers by Ali Yaşar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Performance Analysis of ANN and Naive Bayes Classification Algorithm for Data Classification
Hit paper breakdown →
2019277
2 2019107
3 202231
4 201931
5 200429
6 201228
7 201221
8 202221
9 201920
10 202320
11 202319
12 202317
13 202317
14 201516
15 200615
16 201912
17 201610
18 20219
19 20247
20 20167

About Ali Yaşar

Ali Yaşar is a scholar working on Analytical Chemistry, Plant Science, Biomedical Engineering, Molecular Biology and Management Information Systems, having authored 36 papers that have together received 747 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (13 papers), Smart Agriculture and AI (11 papers), Advanced Chemical Sensor Technologies (6 papers), Supply Chain and Inventory Management (3 papers), Identification and Quantification in Food (3 papers), Product Development and Customization (2 papers), Flexible and Reconfigurable Manufacturing Systems (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Health Information Management (54 citations), Analytical Chemistry (114 citations), Artificial Intelligence (216 citations), Information Systems (94 citations) and Plant Science (129 citations). Ali Yaşar has collaborated with scholars based in Türkiye, United States and Pakistan. Frequent co-authors include Mücahid Mustafa Sarıtaş, İsmail Sarıtaş, James M. Tien, Mehmet Akif Şahman, Ananth Krishnamurthy, Hüseyin Anıl Korkmaz, Ece Onur, Yavuz Selim Taşpınar, Ramazan Kursun and Murat Köklü. Their work appears in journals such as European Food Research and Technology, Journal of Food Composition and Analysis, International Journal of Production Economics, Disease Markers and International Journal of Fuzzy Systems.

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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