Usman Naseem
- Artificial Intelligence top 1%
- Sociology and Political Science top 5%
- Information Systems top 2%
- Social Psychology top 10%
- Education top 10%
- Co-authors
- Imran RazzakMatloob KhushiJinman KimPeter EklundKatarzyna MusiałMuhammad ImranShah Khalid KhanAdam G. Dunn
- Topics
- Topic Modeling (37 papers)Sentiment Analysis and Opinion Mining (19 papers)Natural Language Processing Techniques (18 papers)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Usman Naseem
96 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 990
- Sociology and Political Science 294
- Information Systems 264
- Social Psychology 171
- Education 117
Countries citing papers authored by Usman Naseem
This map shows the geographic impact of Usman Naseem'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 Usman Naseem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Usman Naseem more than expected).
Fields of papers citing papers by Usman Naseem
This network shows the impact of papers produced by Usman Naseem. 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 Usman Naseem. The network helps show where Usman Naseem may publish in the future.
Co-authorship network of co-authors of Usman Naseem
This figure shows the co-authorship network connecting the top 25 collaborators of Usman Naseem. A scholar is included among the top collaborators of Usman Naseem 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 Usman Naseem. Usman Naseem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 12 | |
| 17 | 8 | |
| 18 | 16 | |
| 19 | A Study on Discrete Mathematics: Sum Distance in Neutrosophic Graphs with Application | 1 |
| 20 | 28 |
About Usman Naseem
Usman Naseem is a scholar working on Artificial Intelligence, Health Informatics and Health Information Management, having authored 117 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (37 papers), Sentiment Analysis and Opinion Mining (19 papers) and Natural Language Processing Techniques (18 papers). The work is most often cited by research in Health Informatics (47 citations), Artificial Intelligence (990 citations) and Information Systems (264 citations). Usman Naseem has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Imran Razzak, Matloob Khushi, Jinman Kim, Peter Eklund, Katarzyna Musiał, Muhammad Imran, Shah Khalid Khan, Adam G. Dunn, Atika Qazi and Surendrabikram Thapa. Their work appears in journals such as PLoS ONE, IEEE Access and BMC Bioinformatics.
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.