Muhammet Damar
- Artificial Intelligence
- Management Information Systems top 10%
- Information Systems
- Education
- Strategy and Management
- Co-authors
- Güzin ÖzdağoğluAşkın ÖzdağoğluÖmer AydınAndrew D. PintoFatih Safa ErenayErman CoşkunOnur DoğanAylin Durmaz Edeer
- Topics
- Big Data and Business Intelligence (9 papers)Blockchain Technology Applications and Security (5 papers)Higher Education Governance and Development (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaMedicineScientometrics
- Partner nations
- TürkiyeCanadaUnited States
In The Last Decade
Muhammet Damar
52 papers receiving 236 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 38
- Management Information Systems 36
- Information Systems 34
- Education 29
- Strategy and Management 27
Countries citing papers authored by Muhammet Damar
This map shows the geographic impact of Muhammet Damar'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 Muhammet Damar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammet Damar more than expected).
Fields of papers citing papers by Muhammet Damar
This network shows the impact of papers produced by Muhammet Damar. 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 Muhammet Damar. The network helps show where Muhammet Damar may publish in the future.
Co-authorship network of co-authors of Muhammet Damar
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammet Damar. A scholar is included among the top collaborators of Muhammet Damar 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 Muhammet Damar. Muhammet Damar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | Dijital Çağda Bilişim Sektörünün İhtiyacı Olan Yetkinlikler Üzerine Bir Değerlendirme | 4 |
| 15 | 7 | |
| 16 | 10 | |
| 17 | 1 | |
| 18 | AMELİYATHANE MALZEME YÖNETİM SİSTEMİNİN SÜREÇ YÖNETİMİ TEKNİĞİ İLE DEĞERLENDİRİLMESİ: BİR ÜNİVERSİTE HASTANESİ ÖRNEĞİ | 1 |
| 19 | Üniversitelerde Bilgi İşlemden Yönetim Bilişim Sistemlerine Geçiş: Mevcut Durum ve Beklentiler | 3 |
| 20 | BUILDING MANAGEMENT INFORMATION SYSTEMS TO COORDINATE THE UNIVERSITY BUSINESS PROCESSES: A PROPOSED MODEL FOR DOKUZ EYLÜL UNIVERSITY | 1 |
About Muhammet Damar
Muhammet Damar is a scholar working on Health Informatics, Research and Theory and Management Information Systems, having authored 59 papers that have together received 253 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (9 papers), Blockchain Technology Applications and Security (5 papers) and Higher Education Governance and Development (4 papers). The work is most often cited by research in Health Informatics (19 citations), Management Information Systems (36 citations) and Research and Theory (3 citations). Muhammet Damar has collaborated with scholars based in Türkiye, Canada and United States. Frequent co-authors include Güzin Özdağoğlu, Aşkın Özdağoğlu, Ömer Aydın, Andrew D. Pinto, Fatih Safa Erenay, Erman Coşkun, Onur Doğan, Aylin Durmaz Edeer, Luciano Saso and Thiago Gomes da Trindade. Their work appears in journals such as SHILAP Revista de lepidopterología, Medicine and Scientometrics.
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.