Adidah Lajis
- Computer Science Applications top 5%
- Artificial Intelligence
- Information Systems top 10%
- Electrical and Electronic Engineering
- Building and Construction
- Co-authors
- Haidawati NasirMuhammad FayazAbdul Salam ShahAsadullah ShahZahid UllahFarrukh SaleemMona JamjoomAbdulrahman Altalhi
- Topics
- Topic Modeling (6 papers)Teaching and Learning Programming (6 papers)Educational Assessment and Pedagogy (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessFrontiers in Public Health
- Partner nations
- MalaysiaPakistanSaudi Arabia
In The Last Decade
Adidah Lajis
28 papers receiving 269 citations
Peers
Comparison fields: 5 of 64
- Computer Science Applications 97
- Artificial Intelligence 71
- Information Systems 53
- Electrical and Electronic Engineering 50
- Building and Construction 41
Countries citing papers authored by Adidah Lajis
This map shows the geographic impact of Adidah Lajis'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 Adidah Lajis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adidah Lajis more than expected).
Fields of papers citing papers by Adidah Lajis
This network shows the impact of papers produced by Adidah Lajis. 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 Adidah Lajis. The network helps show where Adidah Lajis may publish in the future.
Co-authorship network of co-authors of Adidah Lajis
This figure shows the co-authorship network connecting the top 25 collaborators of Adidah Lajis. A scholar is included among the top collaborators of Adidah Lajis 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 Adidah Lajis. Adidah Lajis 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 | 0 | |
| 5 | 1 | |
| 6 | 25 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 36 | |
| 12 | A review on energy consumption optimization techniques in IoT based smart building environment | 48 |
| 13 | 5 | |
| 14 | 23 | |
| 15 | A review of techniques in automatic programming assessment for practical skill test | 25 |
| 16 | 11 | |
| 17 | 51 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 1 |
About Adidah Lajis
Adidah Lajis is a scholar working on Computer Science Applications, Media Technology and Artificial Intelligence, having authored 33 papers that have together received 287 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Teaching and Learning Programming (6 papers) and Educational Assessment and Pedagogy (5 papers). The work is most often cited by research in Computer Science Applications (97 citations), Software (25 citations) and Media Technology (32 citations). Adidah Lajis has collaborated with scholars based in Malaysia, Pakistan and Saudi Arabia. Frequent co-authors include Haidawati Nasir, Muhammad Fayaz, Abdul Salam Shah, Asadullah Shah, Zahid Ullah, Farrukh Saleem, Mona Jamjoom, Abdulrahman Altalhi, Ahmed A. Al‐Ghamdi and Muhammad Mansoor Alam. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Frontiers in Public Health.
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.