Jalal Mahmud
- Artificial Intelligence top 5%
- Information Systems top 2%
- Sociology and Political Science top 5%
- Statistical and Nonlinear Physics top 5%
- Transportation top 5%
- Co-authors
- Jeffrey NicholsClemens DrewsJilin ChenI. V. RamakrishnanYevgen BorodinMichelle X. ZhouGary HsiehMohammed Eunus Ali
- Topics
- Web Data Mining and Analysis (17 papers)Sentiment Analysis and Opinion Mining (14 papers)Complex Network Analysis Techniques (12 papers)
- Journals
- Information Processing & ManagementJournal of the Association for Information Science and TechnologyACM Transactions on Intelligent Systems and Technology
- Partner nations
- United StatesBangladeshFinland
In The Last Decade
Jalal Mahmud
59 papers receiving 1000 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 360
- Information Systems 337
- Sociology and Political Science 265
- Statistical and Nonlinear Physics 233
- Transportation 128
Countries citing papers authored by Jalal Mahmud
This map shows the geographic impact of Jalal Mahmud'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 Jalal Mahmud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jalal Mahmud more than expected).
Fields of papers citing papers by Jalal Mahmud
This network shows the impact of papers produced by Jalal Mahmud. 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 Jalal Mahmud. The network helps show where Jalal Mahmud may publish in the future.
Co-authorship network of co-authors of Jalal Mahmud
This figure shows the co-authorship network connecting the top 25 collaborators of Jalal Mahmud. A scholar is included among the top collaborators of Jalal Mahmud 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 Jalal Mahmud. Jalal Mahmud 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 | 8 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 18 | |
| 6 | 13 | |
| 7 | 9 | |
| 8 | 16 | |
| 9 | 6 | |
| 10 | 24 | |
| 11 | 8 | |
| 12 | 46 | |
| 13 | 112 | |
| 14 | 14 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 9 | |
| 18 | 4 | |
| 19 | 9 | |
| 20 | 9 |
About Jalal Mahmud
Jalal Mahmud is a scholar working on Human Factors and Ergonomics, Human-Computer Interaction and Information Systems, having authored 63 papers that have together received 1.0k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (17 papers), Sentiment Analysis and Opinion Mining (14 papers) and Complex Network Analysis Techniques (12 papers). The work is most often cited by research in Human Factors and Ergonomics (98 citations), Transportation (128 citations) and Statistical and Nonlinear Physics (233 citations). Jalal Mahmud has collaborated with scholars based in United States, Bangladesh and Finland. Frequent co-authors include Jeffrey Nichols, Clemens Drews, Jilin Chen, I. V. Ramakrishnan, Yevgen Borodin, Michelle X. Zhou, Gary Hsieh, Mohammed Eunus Ali, Md. Saddam Hossain Mukta and Kyumin Lee. Their work appears in journals such as Information Processing & Management, Journal of the Association for Information Science and Technology and ACM Transactions on Intelligent Systems and Technology.
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.