Tanjim Hossain
- Economics and Econometrics top 2%
- Safety Research top 0.5%
- Marketing top 2%
- Management Science and Operations Research top 2%
- General Decision Sciences top 1%
- Co-authors
- John MorganJohn A. ListRyo OkuiJennifer BrownJeffrey C. ElyDylan MinorDilip SomanAvi Goldfarb
- Topics
- Experimental Behavioral Economics Studies (21 papers)Auction Theory and Applications (12 papers)Decision-Making and Behavioral Economics (10 papers)
- Partner nations
- CanadaUnited StatesHong Kong
In The Last Decade
Tanjim Hossain
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Economics and Econometrics 469
- Safety Research 468
- Marketing 346
- Management Science and Operations Research 343
- General Decision Sciences 269
Countries citing papers authored by Tanjim Hossain
This map shows the geographic impact of Tanjim Hossain'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 Tanjim Hossain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanjim Hossain more than expected).
Fields of papers citing papers by Tanjim Hossain
This network shows the impact of papers produced by Tanjim Hossain. 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 Tanjim Hossain. The network helps show where Tanjim Hossain may publish in the future.
Co-authorship network of co-authors of Tanjim Hossain
This figure shows the co-authorship network connecting the top 25 collaborators of Tanjim Hossain. A scholar is included among the top collaborators of Tanjim Hossain 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 Tanjim Hossain. Tanjim Hossain 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 | 12 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | When Do Markets Tip? A Cognitive Hierarchy Approach | 0 |
| 8 | 2 | |
| 9 | 40 | |
| 10 | 46 | |
| 11 | 241 | |
| 12 | 7 | |
| 13 | 35 | |
| 14 | The Binarized Scoring Rule of Belief Elicitation | 9 |
| 15 | Do All Markets Ultimately Tip? Experimental Evidence | 1 |
| 16 | 48 | |
| 17 | 30 | |
| 18 | 29 | |
| 19 | Shrouded Attributes and Information Suppression: Evidence from Field Experiments | 10 |
| 20 | 236 |
About Tanjim Hossain
Tanjim Hossain is a scholar working on General Decision Sciences, Safety Research and Management Science and Operations Research, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (21 papers), Auction Theory and Applications (12 papers) and Decision-Making and Behavioral Economics (10 papers). The work is most often cited by research in General Decision Sciences (269 citations), Safety Research (468 citations) and Marketing (346 citations). Tanjim Hossain has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include John Morgan, John A. List, Ryo Okui, Jennifer Brown, John Morgan, Jeffrey C. Ely, Dylan Minor, Dilip Soman, Avi Goldfarb and Alexander L. Brown. Their work appears in journals such as American Economic Review, The Quarterly Journal of Economics and Management Science.
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.