Sepuluh Nopember Institute of Technology

103.7k citations
18.7k papers ·

Impact in

Papers in

Sepuluh Nopember Institute of Technology

14.8k papers receiving 99.4k citations

Peers

Sepuluh Nopember Institute of Technology
Comparison fields: 5 of 241
  • Industrial and Manufacturing Engineering 4.5k
  • Management Information Systems 4.2k
  • Water Science and Technology 5.9k
  • Information Systems 8.9k
  • Pollution 4.3k
Replace Diponegoro University with:
Diponegoro University Indonesia
University of Brawijaya Indonesia
Sebelas Maret University Indonesia
Universiti Malaysia Sarawak Malaysia
Udayana University Indonesia
Swinburne University of Technology Sarawak Campus Malaysia
Binus University Indonesia
Universitas Jember Indonesia
Sriwijaya University Indonesia
Telkom University Indonesia
Sepuluh Nopember Institute of Technology relative to Diponegoro University Indonesia Diponegoro University's profile →
Citations per field
00.5×1.5×
Diponegoro University · 1×
Citations per year

Countries citing scholars working at Sepuluh Nopember Institute of Technology

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Sepuluh Nopember Institute of Technology. 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 papers produced at Sepuluh Nopember Institute of Technology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sepuluh Nopember Institute of Technology more than expected).

Fields of papers published by authors at Sepuluh Nopember Institute of Technology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Sepuluh Nopember Institute of Technology at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Sepuluh Nopember Institute of Technology at the time of their publication.

About Sepuluh Nopember Institute of Technology

In recent decades, authors affiliated with Sepuluh Nopember Institute of Technology have published 18.7k papers, which have received a total of 103.7k indexed citations . Scholars at this organization have produced 2.4k papers in Information Systems, 817 papers in Management Information Systems, 291 papers in Conservation, 425 papers in Geology and 1.0k papers in Strategy and Management on the topics of Data Mining and Machine Learning Applications (734 papers), Management and Optimization Techniques (722 papers), Edcuational Technology Systems (636 papers), Engineering and Technology Innovations (518 papers), Coastal Management and Development (455 papers), Multimedia Learning Systems (453 papers), Computer Science and Engineering (417 papers) and Geotechnical and construction materials studies (404 papers). Their work is cited by papers focused on Industrial and Manufacturing Engineering (4.5k citations), Management Information Systems (4.2k citations), Water Science and Technology (5.9k citations), Information Systems (8.9k citations) and Pollution (4.3k citations). Authors at Sepuluh Nopember Institute of Technology collaborate with scholars in Indonesia, Malaysia and Japan and have published in prestigious journals including IEEE Access, Heliyon, Sustainability, RSC Advances and Case Studies in Chemical and Environmental Engineering. Some of Sepuluh Nopember Institute of Technology's most productive authors include Riyanarto Sarno, Mauridhi Hery Purnomo, I Nyoman Pujawan, Chastine Fatichah, Mahfud Mahfud, Tohari Ahmad, Heri Septya Kusuma, Siti Machmudah, Adi Setyo Purnomo and Suhartono Suhartono.

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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