Rahila Umer

587 total citations
19 papers, 364 citations indexed

About

Rahila Umer is a scholar working on Computer Science Applications, Artificial Intelligence and Communication. According to data from OpenAlex, Rahila Umer has authored 19 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Science Applications, 5 papers in Artificial Intelligence and 4 papers in Communication. Recurrent topics in Rahila Umer's work include Online Learning and Analytics (10 papers), Social Media and Politics (3 papers) and Artificial Intelligence in Healthcare (3 papers). Rahila Umer is often cited by papers focused on Online Learning and Analytics (10 papers), Social Media and Politics (3 papers) and Artificial Intelligence in Healthcare (3 papers). Rahila Umer collaborates with scholars based in Pakistan, New Zealand and Australia. Rahila Umer's co-authors include Anuradha Mathrani, Teo Sušnjak, Suriadi Suriadi, Gomathy Ramaswami, A. Shaukat, Naz E. Islam, Khalid Mahmood Arif, Zaheera Zainal Abidin, Noor Uddin and Jan Muhammad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nanomaterials and Technology in Society.

In The Last Decade

Rahila Umer

17 papers receiving 342 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rahila Umer Pakistan	8	126	80	73	68	62	19	364
Lesley Gardner New Zealand	10	126 1.0×	112 1.4×	62 0.8×	84 1.2×	44 0.7×	56	386
Irene Govender South Africa	13	108 0.9×	189 2.4×	128 1.8×	103 1.5×	30 0.5×	46	469
Esteban Romero‐Frías Spain	12	91 0.7×	118 1.5×	57 0.8×	132 1.9×	31 0.5×	33	442
Andrew Asher United States	11	85 0.7×	75 0.9×	63 0.9×	78 1.1×	63 1.0×	37	525
Machdel Matthee South Africa	10	53 0.4×	69 0.9×	52 0.7×	52 0.8×	33 0.5×	47	317
Rex P. Bringula Philippines	13	102 0.8×	162 2.0×	72 1.0×	105 1.5×	81 1.3×	60	479
Christine Van Toorn Australia	7	76 0.6×	51 0.6×	105 1.4×	76 1.1×	31 0.5×	21	361
Malcolm Rutter United Kingdom	11	60 0.5×	169 2.1×	173 2.4×	52 0.8×	85 1.4×	28	380
Andreas Breiter Germany	10	39 0.3×	63 0.8×	61 0.8×	80 1.2×	35 0.6×	51	319
Jason H. Sharp United States	11	60 0.5×	104 1.3×	45 0.6×	89 1.3×	31 0.5×	25	317

Countries citing papers authored by Rahila Umer

Since Specialization

Citations

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

Fields of papers citing papers by Rahila Umer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahila Umer

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

All Works

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19 of 19 papers shown

Mathrani, Anuradha, et al.. (2023). Rural–Urban, Gender, and Digital Divides during the COVID-19 Lockdown: A Multi-Layered Study. Societies. 13(5). 122–122. 2 indexed citations

Umer, Rahila, et al.. (2022). Current Stance on Requirement Prioritization Techniques: Challenges, Opportunities, and Future Directions. VFAST Transactions on Software Engineering. 10(2). 198–210.

Ramaswami, Gomathy, Teo Sušnjak, Anuradha Mathrani, & Rahila Umer. (2022). Use of Predictive Analytics within Learning Analytics Dashboards: A Review of Case Studies. Technology Knowledge and Learning. 28(3). 959–980. 25 indexed citations

Shaukat, A., Rahila Umer, Frazer Noble, & Khalid Mahmood Arif. (2022). All-Dielectric Transreflective Angle-Insensitive Near-Infrared (NIR) Filter. Nanomaterials. 12(15). 2537–2537. 2 indexed citations

Umer, Rahila, et al.. (2022). Prediction of students' failure using VLE and demographic data: case study on Open University data. International Journal of Business Intelligence and Data Mining. 20(2). 235–235. 2 indexed citations

Umer, Rahila, et al.. (2022). Identifying the factors affecting individuals’ trust to use social media for e-government services: a conceptual model. SHILAP Revista de lepidopterología. 42(1). 109–109. 4 indexed citations

Mathrani, Anuradha, et al.. (2021). Digital divide framework: online learning in developing countries during the COVID-19 lockdown. Globalisation Societies and Education. 20(5). 625–640. 90 indexed citations

Umer, Rahila, et al.. (2021). Current stance on predictive analytics in higher education: opportunities, challenges and future directions. Interactive Learning Environments. 31(6). 3503–3528. 26 indexed citations

Umer, Rahila, et al.. (2021). Prediction of Students Failure using VLE and Demographic data: Case study Open University Data. International Journal of Business Intelligence and Data Mining. 20(1). 1–1.

10.

Abidin, Zaheera Zainal, et al.. (2021). Combining support vector machine with radial basis function kernel and information gain for sentiment analysis of movie reviews. Journal of Physics Conference Series. 1918(4). 42157–42157. 3 indexed citations

11.

Umer, Rahila, et al.. (2020). Antecedents of trust in using social media for E-government services: An empirical study in Pakistan. Technology in Society. 64. 101400–101400. 109 indexed citations

12.

Ramaswami, Gomathy, Teo Sušnjak, Anuradha Mathrani, & Rahila Umer. (2020). Predicting Students Final Academic Performance using Feature Selection Approaches. 1–5. 6 indexed citations

13.

Umer, Rahila, et al.. (2019). Mining Activity Log Data to Predict Student's Outcome in a Course. 52–58. 19 indexed citations

14.

Umer, Rahila, et al.. (2018). Predicting Student’s Academic Performance in a MOOC Environment. 2 indexed citations

15.

Umer, Rahila, Teo Sušnjak, Anuradha Mathrani, & Suriadi Suriadi. (2018). A learning analytics approach: Using online weekly student engagement data to make predictions on student performance. 1–5. 14 indexed citations

16.

Umer, Rahila, et al.. (2017). Consequences of Gossiping on Women Empowerment. SHILAP Revista de lepidopterología. 10(15). 6–12. 2 indexed citations

17.

Shaukat, A., Rahila Umer, & Naz E. Islam. (2017). Impact of dielectric material and oxide thickness on the performance of Carbon Nanotube Field Effect Transistor. 250–254. 10 indexed citations

18.

Umer, Rahila, Teo Sušnjak, Anuradha Mathrani, & Suriadi Suriadi. (2017). On predicting academic performance with process mining in learning analytics. SHILAP Revista de lepidopterología. 10(2). 160–176. 42 indexed citations

19.

Umer, Rahila. (2017). Prediction of Students’ Dropout in MOOC Environment. 43–47. 6 indexed citations

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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