Morteza Karimzadeh
- Artificial Intelligence top 10%
- Geography, Planning and Development top 1%
- Signal Processing top 10%
- Transportation top 10%
- Epidemiology
- Co-authors
- Alan M. MacEachrenJan Oliver WallgrünScott PezanowskiBehzad VahediDavid S. EbertYi‐Shan LinDan GoldwasserRafael Pires de Lima
- Topics
- Geographic Information Systems Studies (8 papers)Data Visualization and Analytics (8 papers)COVID-19 epidemiological studies (5 papers)
- Journals
- Nature CommunicationsIEEE Transactions on Geoscience and Remote SensingInternational Journal of Remote Sensing
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Morteza Karimzadeh
24 papers receiving 345 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 137
- Geography, Planning and Development 134
- Signal Processing 63
- Transportation 54
- Epidemiology 50
Countries citing papers authored by Morteza Karimzadeh
This map shows the geographic impact of Morteza Karimzadeh'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 Morteza Karimzadeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Morteza Karimzadeh more than expected).
Fields of papers citing papers by Morteza Karimzadeh
This network shows the impact of papers produced by Morteza Karimzadeh. 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 Morteza Karimzadeh. The network helps show where Morteza Karimzadeh may publish in the future.
Co-authorship network of co-authors of Morteza Karimzadeh
This figure shows the co-authorship network connecting the top 25 collaborators of Morteza Karimzadeh. A scholar is included among the top collaborators of Morteza Karimzadeh 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 Morteza Karimzadeh. Morteza Karimzadeh 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 25 | |
| 11 | 24 | |
| 12 | 5 | |
| 13 | 71 | |
| 14 | 16 | |
| 15 | 38 | |
| 16 | 5 | |
| 17 | 67 | |
| 18 | 7 | |
| 19 | 3 | |
| 20 | 34 |
About Morteza Karimzadeh
Morteza Karimzadeh is a scholar working on Geography, Planning and Development, Modeling and Simulation and Signal Processing, having authored 28 papers that have together received 357 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (8 papers), Data Visualization and Analytics (8 papers) and COVID-19 epidemiological studies (5 papers). The work is most often cited by research in Geography, Planning and Development (134 citations), Transportation (54 citations) and Modeling and Simulation (30 citations). Morteza Karimzadeh has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Alan M. MacEachren, Jan Oliver Wallgrün, Scott Pezanowski, Behzad Vahedi, David S. Ebert, Yi‐Shan Lin, Dan Goldwasser, Rafael Pires de Lima, Frank Hardisty and J. L. Zhao. Their work appears in journals such as Nature Communications, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Remote Sensing.
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.