Siamak Faridani
- Computer Science Applications top 2%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Management Science and Operations Research top 10%
- Sociology and Political Science
- Co-authors
- Ken GoldbergPanagiotis G. IpeirotisBjörn HartmannKimiko RyokaiJing WangRon AlterovitzDavid Y. WongDezhen Song
- Topics
- Complex Network Analysis Techniques (3 papers)Auction Theory and Applications (2 papers)Advanced Text Analysis Techniques (2 papers)
- Journals
- IEEE Transactions on Human-Machine SystemsNational Conference on Artificial IntelligenceBiodiversity Heritage Library (Smithsonian Institution)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Siamak Faridani
9 papers receiving 298 citations
Peers
Comparison fields: 5 of 64
- Computer Science Applications 148
- Artificial Intelligence 104
- Information Systems 86
- Management Science and Operations Research 65
- Sociology and Political Science 59
Countries citing papers authored by Siamak Faridani
This map shows the geographic impact of Siamak Faridani'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 Siamak Faridani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siamak Faridani more than expected).
Fields of papers citing papers by Siamak Faridani
This network shows the impact of papers produced by Siamak Faridani. 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 Siamak Faridani. The network helps show where Siamak Faridani may publish in the future.
Co-authorship network of co-authors of Siamak Faridani
This figure shows the co-authorship network connecting the top 25 collaborators of Siamak Faridani. A scholar is included among the top collaborators of Siamak Faridani 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 Siamak Faridani. Siamak Faridani 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 | 15 | |
| 3 | Models and algorithms for crowdsourcing discovery | 1 |
| 4 | What's the right price? pricing tasks for finishing on time | 88 |
| 5 | 22 | |
| 6 | 21 | |
| 7 | Estimating the Completion Time of Crowdsourced Tasks Using Survival Analysis Models | 36 |
| 8 | 4 | |
| 9 | 126 | |
| 10 | 11 |
About Siamak Faridani
Siamak Faridani is a scholar working on Computer Science Applications, Statistical and Nonlinear Physics and Ecological Modeling, having authored 10 papers that have together received 324 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (3 papers), Auction Theory and Applications (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Computer Science Applications (148 citations), Communication (55 citations) and Management Science and Operations Research (65 citations). Siamak Faridani has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Ken Goldberg, Panagiotis G. Ipeirotis, Björn Hartmann, Kimiko Ryokai, Jing Wang, Ron Alterovitz, David Y. Wong, Dezhen Song and John H. Rappole. Their work appears in journals such as IEEE Transactions on Human-Machine Systems, National Conference on Artificial Intelligence and Biodiversity Heritage Library (Smithsonian Institution).
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.