Tessy Badriyah

621 citations
46 papers · 399 indexed · h-index 14
Topics
Data Mining and Machine Learning Applications (19 papers)Edcuational Technology Systems (12 papers)Artificial Intelligence in Healthcare (9 papers)
Journals
SHILAP Revista de lepidopterologíaResuscitationJournal of Physics Conference Series

In The Last Decade

Tessy Badriyah

43 papers receiving 369 citations

Peers

Tessy Badriyah
Comparison fields: 5 of 105
  • Artificial Intelligence 130
  • Information Systems 100
  • Epidemiology 84
  • Emergency Medicine 45
  • Computer Vision and Pattern Recognition 35
Replace Saad Rehman with:
Saad Rehman United States
Zahraa K. Taha Iraq
Syed Thouheed Ahmed India
Vincent Corruble France
Issam Nouaouri France
Christian Bock Switzerland
Hamdan O. Alanazi Malaysia
Marzia Hoque Tania United Kingdom
Eric Rojas Chile
Fatema Shaikh Saudi Arabia
Tessy Badriyah relative to Saad Rehman United States Saad Rehman's profile →
Citations per field
00.5×5.6×
Saad Rehman · 1×
Citations per year

Countries citing papers authored by Tessy Badriyah

Since Specialization
Citations

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

Fields of papers citing papers by Tessy Badriyah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tessy Badriyah

This figure shows the co-authorship network connecting the top 25 collaborators of Tessy Badriyah. A scholar is included among the top collaborators of Tessy Badriyah 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 Tessy Badriyah. Tessy Badriyah 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 1
2 1
3 0
4 1
5 1
6 14
7 1
8 12
9 14
10 2
11
Sistem Rekomendasi Content Based Filtering Menggunakan Algoritma Apriori
15
12 21
13 6
14
Sistem Rekomendasi Collaborative Filtering Berbasis User Algoritma Adjusted Cosine Similarity
2
15 14
16 4
17 13
18 35
19 42
20
ALAT BANTU KLASIFIKASI DENGAN POHON KEPUTUSAN UNTUK SISTEM PENDUKUNG KEPUTUSAN
1

About Tessy Badriyah

Tessy Badriyah is a scholar working on Health Information Management, Information Systems and Artificial Intelligence, having authored 46 papers that have together received 399 indexed citations. Recurring topics across this work include Data Mining and Machine Learning Applications (19 papers), Edcuational Technology Systems (12 papers) and Artificial Intelligence in Healthcare (9 papers). The work is most often cited by research in Health Information Management (34 citations), Emergency Medicine (45 citations) and Information Systems (100 citations). Tessy Badriyah has collaborated with scholars based in Indonesia, Germany and United Kingdom. Frequent co-authors include Iwan Syarif, Jim Briggs, David Prytherch, Stuart Jarvis, Paul E. Schmidt, Paul Meredith, Peter I. Featherstone, Gary B. Smith, Mohammed A. Mohammed and Caroline Kovacs. Their work appears in journals such as SHILAP Revista de lepidopterología, Resuscitation and Journal of Physics Conference Series.

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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