Mehwish Alam
- Artificial Intelligence top 10%
- Information Systems
- Management Science and Operations Research
- Molecular Biology
- Sociology and Political Science
- Co-authors
- Harald SackAldo GangemiDiego Reforgiato RecuperoHeiko PaulheimDavide BuscaldiPetar RistoskiMisael Mongiovı̀Philipp Müller
- Topics
- Topic Modeling (14 papers)Advanced Graph Neural Networks (9 papers)Semantic Web and Ontologies (7 papers)
In The Last Decade
Mehwish Alam
29 papers receiving 136 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 106
- Information Systems 31
- Management Science and Operations Research 23
- Molecular Biology 22
- Sociology and Political Science 11
Countries citing papers authored by Mehwish Alam
This map shows the geographic impact of Mehwish Alam'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 Mehwish Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehwish Alam more than expected).
Fields of papers citing papers by Mehwish Alam
This network shows the impact of papers produced by Mehwish Alam. 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 Mehwish Alam. The network helps show where Mehwish Alam may publish in the future.
Co-authorship network of co-authors of Mehwish Alam
This figure shows the co-authorship network connecting the top 25 collaborators of Mehwish Alam. A scholar is included among the top collaborators of Mehwish Alam 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 Mehwish Alam. Mehwish Alam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 8 | |
| 11 | 13 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | Workshop on Deep Learning for Knowledge Graphs | 1 |
| 17 | 2 | |
| 18 | 2 | |
| 19 | Frame Semantic Parsing using Framester Knowledge Graphs. | 2 |
| 20 | PDTB XML: the XMLization of the Penn Discourse TreeBank 2.0 | 3 |
About Mehwish Alam
Mehwish Alam is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems, having authored 29 papers that have together received 142 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Advanced Graph Neural Networks (9 papers) and Semantic Web and Ontologies (7 papers). The work is most often cited by research in Artificial Intelligence (106 citations), Management Science and Operations Research (23 citations) and Information Systems (31 citations). Mehwish Alam has collaborated with scholars based in Germany, Italy and France. Frequent co-authors include Harald Sack, Aldo Gangemi, Diego Reforgiato Recupero, Heiko Paulheim, Davide Buscaldi, Petar Ristoski, Misael Mongiovı̀, Philipp Müller, Danilo Dessı̀ and Silvio Peroni. Their work appears in journals such as Knowledge-Based Systems, Future Generation Computer Systems and Scientometrics.
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.