Jimmy Lin
- Artificial Intelligence top 0.05%
- Information Systems top 0.05%
- Computer Vision and Pattern Recognition top 0.5%
- Computer Networks and Communications top 0.5%
- Molecular Biology top 10%
- Co-authors
- Dina Demner‐FushmanChris DyerBoris KatzRodrigo NogueiraHua HeRaphael TangMichael C. SchatzAneesh Sharma
- Topics
- Topic Modeling (212 papers)Natural Language Processing Techniques (139 papers)Information Retrieval and Search Behavior (53 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jimmy Lin
405 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Artificial Intelligence 7.4k
- Information Systems 4.1k
- Computer Vision and Pattern Recognition 2.1k
- Computer Networks and Communications 1.7k
- Molecular Biology 1.0k
Countries citing papers authored by Jimmy Lin
This map shows the geographic impact of Jimmy 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 Jimmy Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jimmy Lin more than expected).
Fields of papers citing papers by Jimmy Lin
This network shows the impact of papers produced by Jimmy 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 Jimmy Lin. The network helps show where Jimmy Lin may publish in the future.
Co-authorship network of co-authors of Jimmy Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Jimmy Lin. A scholar is included among the top collaborators of Jimmy Lin 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 Jimmy Lin. Jimmy Lin 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 10 | |
| 12 | 0 | |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 9 | |
| 17 | 109 | |
| 18 | H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine. | 4 |
| 19 | 98 | |
| 20 | Of Ivory and Smurfs: Loxodontan MapReduce Experiments for Web Search | 33 |
About Jimmy Lin
Jimmy Lin is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 431 papers that have together received 11.1k indexed citations. Recurring topics across this work include Topic Modeling (212 papers), Natural Language Processing Techniques (139 papers) and Information Retrieval and Search Behavior (53 papers). The work is most often cited by research in Artificial Intelligence (7.4k citations), Information Systems (4.1k citations) and Computer Vision and Pattern Recognition (2.1k citations). Jimmy Lin has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Dina Demner‐Fushman, Chris Dyer, Boris Katz, Rodrigo Nogueira, Hua He, Raphael Tang, Michael C. Schatz, Aneesh Sharma, W. John Wilbur and Pankaj Gupta. Their work appears in journals such as Genome biology, BMC Bioinformatics and Hydrological Processes.
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.