Ganjar Alfian

2.8k citations
49 papers · 1.9k indexed · 1 hit paper · h-index 21
Topics
Artificial Intelligence in Healthcare (14 papers)Food Supply Chain Traceability (8 papers)Diabetes Management and Research (7 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessSensors

In The Last Decade

Ganjar Alfian

45 papers receiving 1.8k citations

Hit Papers

HDPM: An Effective Heart Disease Prediction Model for a C...2020202620222024202050100150200

Peers

Ganjar Alfian
Comparison fields: 5 of 141
  • Health Information Management 510
  • Artificial Intelligence 493
  • Food Science 249
  • Industrial and Manufacturing Engineering 203
  • Computer Networks and Communications 175
Replace Norma Latif Fitriyani with:
Norma Latif Fitriyani South Korea
Mohammad Shabaz India
Sudhanshu Tyagi India
Prem Prakash Jayaraman Australia
N. Deepa India
Partha Pratim Ray India
Aditya Khamparia India
Abdulsalam Yassine Canada
Yung-Cheol Byun South Korea
Kavita Kavita India
Ganjar Alfian relative to Norma Latif Fitriyani South Korea Norma Latif Fitriyani's profile →
Citations per field
00.5×
Norma Latif Fitriyani · 1×
Citations per year

Countries citing papers authored by Ganjar Alfian

Since Specialization
Citations

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

Fields of papers citing papers by Ganjar Alfian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganjar Alfian

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 0
4 1
5 2
6 8
7 12
8 1
9 0
10 12
11 9
12 5
13 12
14 3
15 164
16 160
17 15
18 22
19 5
20 8

About Ganjar Alfian

Ganjar Alfian is a scholar working on Health Information Management, Marketing and Medical Laboratory Technology, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (14 papers), Food Supply Chain Traceability (8 papers) and Diabetes Management and Research (7 papers). The work is most often cited by research in Health Information Management (510 citations), Medical Laboratory Technology (51 citations) and Industrial and Manufacturing Engineering (203 citations). Ganjar Alfian has collaborated with scholars based in South Korea, Indonesia and Brunei. Frequent co-authors include Jongtae Rhee, Muhammad Syafrudin, Norma Latif Fitriyani, Muhammad Fazal Ijaz, M. Alex Syaekhoni, Umar Farooq, Jaeho Lee, Byungun Yoon, Yong-Shin Kang and Muhammad Rifqi Maarif. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

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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