Tehmina Amjad
- Information Systems top 2%
- Artificial Intelligence top 5%
- Statistics, Probability and Uncertainty top 1%
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Ali DaudNaif Radi AljohaniUmara NoorKim‐Kwang Raymond ChooZahid AnwarRabeeh Ayaz AbbasiMuhammad SherWahab Khan
- Topics
- Complex Network Analysis Techniques (16 papers)Expert finding and Q&A systems (10 papers)scientometrics and bibliometrics research (10 papers)
- Cited by
- Statistics, Probability and UncertaintyInformation SystemsStatistical and Nonlinear Physics
- Partner nations
- PakistanSaudi ArabiaUnited States
In The Last Decade
Tehmina Amjad
42 papers receiving 911 citations
Peers
Comparison fields: 5 of 125
- Information Systems 358
- Artificial Intelligence 308
- Statistics, Probability and Uncertainty 191
- Computer Networks and Communications 186
- Statistical and Nonlinear Physics 167
Countries citing papers authored by Tehmina Amjad
This map shows the geographic impact of Tehmina Amjad'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 Tehmina Amjad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tehmina Amjad more than expected).
Fields of papers citing papers by Tehmina Amjad
This network shows the impact of papers produced by Tehmina Amjad. 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 Tehmina Amjad. The network helps show where Tehmina Amjad may publish in the future.
Co-authorship network of co-authors of Tehmina Amjad
This figure shows the co-authorship network connecting the top 25 collaborators of Tehmina Amjad. A scholar is included among the top collaborators of Tehmina Amjad 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 Tehmina Amjad. Tehmina Amjad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 9 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 26 | |
| 14 | 11 | |
| 15 | 29 | |
| 16 | 3 | |
| 17 | 15 | |
| 18 | Impact of mutual influence while ranking authors in a co-authorship network | 19 |
| 19 | A survey on the state-of-the-art machine learning models in the context of NLP | 52 |
| 20 | 1 |
About Tehmina Amjad
Tehmina Amjad is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Information Systems, having authored 43 papers that have together received 962 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (16 papers), Expert finding and Q&A systems (10 papers) and scientometrics and bibliometrics research (10 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (191 citations), Information Systems (358 citations) and Statistical and Nonlinear Physics (167 citations). Tehmina Amjad has collaborated with scholars based in Pakistan, Saudi Arabia and United States. Frequent co-authors include Ali Daud, Naif Radi Aljohani, Umara Noor, Kim‐Kwang Raymond Choo, Zahid Anwar, Rabeeh Ayaz Abbasi, Muhammad Sher, Wahab Khan, Jamal Abdul Nasir and Jian Xu. Their work appears in journals such as Computers in Human Behavior, IEEE Access and Journal of Alloys and Compounds.
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.