Suneel Babu Chatla
- Sociology and Political Science top 5%
- Marketing top 2%
- Information Systems and Management top 2%
- Organizational Behavior and Human Resource Management top 5%
- Strategy and Management top 5%
- Co-authors
- Galit ShmueliSoumya RayAbhijit MandalYuan‐chin Ivan ChangGrace S. ShiehChun‐Houh ChenYogesh Mani Tripathi
- Topics
- Statistical Methods and Inference (4 papers)Consumer Market Behavior and Pricing (3 papers)Big Data and Business Intelligence (2 papers)
- Partner nations
- TaiwanUnited StatesIndia
In The Last Decade
Suneel Babu Chatla
8 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Sociology and Political Science 327
- Marketing 321
- Information Systems and Management 246
- Organizational Behavior and Human Resource Management 242
- Strategy and Management 218
Countries citing papers authored by Suneel Babu Chatla
This map shows the geographic impact of Suneel Babu Chatla'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 Suneel Babu Chatla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suneel Babu Chatla more than expected).
Fields of papers citing papers by Suneel Babu Chatla
This network shows the impact of papers produced by Suneel Babu Chatla. 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 Suneel Babu Chatla. The network helps show where Suneel Babu Chatla may publish in the future.
Co-authorship network of co-authors of Suneel Babu Chatla
This figure shows the co-authorship network connecting the top 25 collaborators of Suneel Babu Chatla. A scholar is included among the top collaborators of Suneel Babu Chatla 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 Suneel Babu Chatla. Suneel Babu Chatla 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 | 4 | |
| 4 | 20 | |
| 5 | 24 | |
| 6 | 1 | |
| 7 | The elephant in the room: Predictive performance of PLS modelsbreakdown → | 1086 |
| 8 | 16 | |
| 9 | LINEAR PROBABILITY MODELS IN INFORMATION SYSTEMS RESEARCH | 0 |
| 10 | 20 |
About Suneel Babu Chatla
Suneel Babu Chatla is a scholar working on Statistics and Probability, Marketing and Management Science and Operations Research, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (4 papers), Consumer Market Behavior and Pricing (3 papers) and Big Data and Business Intelligence (2 papers). The work is most often cited by research in Information Systems and Management (246 citations), Marketing (321 citations) and Business and International Management (46 citations). Suneel Babu Chatla has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Galit Shmueli, Soumya Ray, Abhijit Mandal, Yuan‐chin Ivan Chang, Grace S. Shieh, Chun‐Houh Chen and Yogesh Mani Tripathi. Their work appears in journals such as PLoS ONE, Journal of Business Research and Journal of the Association for Information 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.