Nan Lin
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
-
- scientometrics and bibliometrics research
- Meta-analysis and systematic reviews
Papers in
- Ecology 3
- Remote Sensing in Agriculture 2
- Co-authors
- Qing Li (1 shared paper)Ronald S. Burt (2 shared papers)Carnot E. Nelson (1 shared paper)Mark S. Mizruchi (1 shared paper)William D. Garvey (1 shared paper)Michael J. Minor (1 shared paper)Peter V. Marsden (1 shared paper)Ruibin Xi (1 shared paper)
- Journals
- Bayesian Analysis (1 paper)Frontiers in Veterinary Science (1 paper)Forests (1 paper)Sociological Methodology (1 paper)Science (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Nan Lin
11 papers receiving 521 citations
Peers
Comparison fields: 5 of 121
- Statistics and Probability 102
- Statistics, Probability and Uncertainty 81
- Library and Information Sciences 10
- Communication 40
- Statistical and Nonlinear Physics 50
Countries citing papers authored by Nan Lin
This map shows the geographic impact of Nan Lin'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 Nan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Lin more than expected).
Fields of papers citing papers by Nan Lin
This network shows the impact of papers produced by Nan Lin. 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 Nan Lin. The network helps show where Nan Lin may publish in the future.
Co-authors
The 20 scholars most cited alongside Nan Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 205 | |
| 2 | 2010 | 185 | |
| 3 | 1970 | 122 | |
| 4 | 1977 | 21 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 10 | |
| 7 | 2009 | 8 | |
| 8 | 2024 | 7 | |
| 9 | 2004 | 4 | |
| 10 | Status-Based differential memory and measurement of social capital: Recall errors and bias estimates | 2013 | 1 |
| 11 | 2024 | 1 |
About Nan Lin
Nan Lin is a scholar working on Ecology, Artificial Intelligence, Statistics and Probability, Cellular and Molecular Neuroscience and Control and Systems Engineering, having authored 11 papers that have together received 574 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (2 papers), Statistical Methods and Inference (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Contemporary Sociological Theory and Practice (1 paper), Remote-Sensing Image Classification (1 paper), Mental Health Research Topics (1 paper), Neurobiology and Insect Physiology Research (1 paper) and Remote Sensing and LiDAR Applications (1 paper). The work is most often cited by research in Statistics and Probability (102 citations), Statistics, Probability and Uncertainty (81 citations), Library and Information Sciences (10 citations), Communication (40 citations) and Statistical and Nonlinear Physics (50 citations). Nan Lin has collaborated with scholars based in United States and China. Frequent co-authors include Qing Li, Ronald S. Burt, Carnot E. Nelson, Mark S. Mizruchi, William D. Garvey, Michael J. Minor, Peter V. Marsden, Ruibin Xi, Hanlin Liu and Xin Li. Their work appears in journals such as Bayesian Analysis, Frontiers in Veterinary Science, Forests, Sociological Methodology and 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.