Marjan Kaedi
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Sociology and Political Science
- Electrical and Electronic Engineering
- Co-authors
- Nasser Ghasem-AghaeeAfsaneh FatemiAli BohlooliChang Wook AhnTuncer ÖrenNaser MovahhediniaKamal JamshidiAlireza Sadeghian
- Topics
- Recommender Systems and Techniques (6 papers)Metaheuristic Optimization Algorithms Research (5 papers)Digital Marketing and Social Media (4 papers)
- Partner nations
- IranCanadaSouth Korea
In The Last Decade
Marjan Kaedi
27 papers receiving 370 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 100
- Information Systems 92
- Computer Networks and Communications 48
- Sociology and Political Science 47
- Electrical and Electronic Engineering 43
Countries citing papers authored by Marjan Kaedi
This map shows the geographic impact of Marjan Kaedi'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 Marjan Kaedi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marjan Kaedi more than expected).
Fields of papers citing papers by Marjan Kaedi
This network shows the impact of papers produced by Marjan Kaedi. 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 Marjan Kaedi. The network helps show where Marjan Kaedi may publish in the future.
Co-authorship network of co-authors of Marjan Kaedi
This figure shows the co-authorship network connecting the top 25 collaborators of Marjan Kaedi. A scholar is included among the top collaborators of Marjan Kaedi 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 Marjan Kaedi. Marjan Kaedi 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 26 | |
| 7 | 3 | |
| 8 | 24 | |
| 9 | 28 | |
| 10 | 16 | |
| 11 | 12 | |
| 12 | 4 | |
| 13 | Developing a Model for Estimating the Extraversion Degree of Social Network Members Using the Information Extracted from the Graph Structure | 2 |
| 14 | 53 | |
| 15 | 21 | |
| 16 | 8 | |
| 17 | 17 | |
| 18 | 9 | |
| 19 | 0 | |
| 20 | Anger filter in agent simulation of human behavior | 6 |
About Marjan Kaedi
Marjan Kaedi is a scholar working on Marketing, Artificial Intelligence and Computational Theory and Mathematics, having authored 33 papers that have together received 386 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (6 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Digital Marketing and Social Media (4 papers). The work is most often cited by research in Computational Mathematics (4 citations), Information Systems (92 citations) and Marketing (36 citations). Marjan Kaedi has collaborated with scholars based in Iran, Canada and South Korea. Frequent co-authors include Nasser Ghasem-Aghaee, Afsaneh Fatemi, Ali Bohlooli, Chang Wook Ahn, Tuncer Ören, Naser Movahhedinia, Kamal Jamshidi, Alireza Sadeghian, Mohammadreza Sehhati and Alireza Nasiri. Their work appears in journals such as Information Sciences, Applied Soft Computing and Knowledge-Based Systems.
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.