H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 80 Citations 21,732 418 World Ranking 450 National Ranking 18

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Programming language

The scientist’s investigation covers issues in Information retrieval, Artificial intelligence, Question answering, World Wide Web and Natural language processing. A large part of his Information retrieval studies is devoted to Ranking. Artificial intelligence and Machine learning are commonly linked in his work.

His study in Question answering is interdisciplinary in nature, drawing from both Contrast, Set, Information system and Component. His work carried out in the field of World Wide Web brings together such families of science as Context, Service, Analytics, Natural language and Data analysis. In general Natural language processing, his work in Sentence, Syntax and Parsing is often linked to Simple linking many areas of study.

His most cited work include:

  • Data-Intensive Text Processing with MapReduce (437 citations)
  • Searching for SNPs with cloud computing (421 citations)
  • WTF: the who to follow service at Twitter (372 citations)

What are the main themes of his work throughout his whole career to date?

Jimmy Lin spends much of his time researching Information retrieval, Artificial intelligence, World Wide Web, Question answering and Natural language processing. His Information retrieval research incorporates elements of Ranking, Social media and Context. His Artificial intelligence study frequently draws connections between adjacent fields such as Machine learning.

His World Wide Web research is multidisciplinary, relying on both Cloud computing, Data science and Big data. Jimmy Lin has included themes like Natural language and Information needs in his Question answering study. His Ranking research is multidisciplinary, incorporating elements of Data mining and Search engine.

He most often published in these fields:

  • Information retrieval (38.07%)
  • Artificial intelligence (26.23%)
  • World Wide Web (17.95%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (26.23%)
  • Information retrieval (38.07%)
  • Natural language processing (14.00%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Artificial intelligence, Information retrieval, Natural language processing, Ranking and Ranking. His Artificial intelligence study frequently links to related topics such as Machine learning. His Information retrieval research incorporates themes from Artificial neural network, Context and State.

His Natural language processing study combines topics from a wide range of disciplines, such as Embedding and Task. His Ranking research also works with subjects such as

  • Search engine which intersects with area such as Component,
  • Information access most often made with reference to Open research. His Open domain study, which is part of a larger body of work in Question answering, is frequently linked to Simple, bridging the gap between disciplines.

Between 2018 and 2021, his most popular works were:

  • Distilling Task-Specific Knowledge from BERT into Simple Neural Networks (162 citations)
  • End-to-End Open-Domain Question Answering with BERTserini (147 citations)
  • Simple BERT Models for Relation Extraction and Semantic Role Labeling. (107 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Operating system
  • Programming language

His primary scientific interests are in Information retrieval, Artificial intelligence, Ranking, Transformer and Question answering. In the subject of general Information retrieval, his work in Relational database is often linked to Coronavirus disease 2019, thereby combining diverse domains of study. His Artificial intelligence study combines topics in areas such as Machine learning and Natural language processing.

The various areas that Jimmy Lin examines in his Ranking study include Document retrieval, Artificial neural network, Ranking and Theoretical computer science. His research integrates issues of Relevance, Search engine and Search engine indexing in his study of Ranking. His Question answering research includes themes of Test and State.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Data-Intensive Text Processing with MapReduce

Jimmy Lin;Chris Dyer.
(2010)

841 Citations

Searching for SNPs with cloud computing

Ben Langmead;Ben Langmead;Michael C Schatz;Jimmy Lin;Mihai Pop.
Genome Biology (2009)

609 Citations

Evaluation of PICO as a Knowledge Representation for Clinical Questions

Xiaoli Huang;Jimmy J. Lin;Dina Demner-Fushman.
american medical informatics association annual symposium (2006)

572 Citations

WTF: the who to follow service at Twitter

Pankaj Gupta;Ashish Goel;Jimmy Lin;Aneesh Sharma.
the web conference (2013)

485 Citations

Cloud Computing and Information Policy: Computing in a Policy Cloud?

Paul T. Jaeger;Jimmy Lin;Justin M. Grimes.
Journal of Information Technology & Politics (2008)

449 Citations

Web question answering: is more always better?

Susan Dumais;Michele Banko;Eric Brill;Jimmy Lin.
international acm sigir conference on research and development in information retrieval (2002)

439 Citations

Quantitative evaluation of passage retrieval algorithms for question answering

Stefanie Tellex;Boris Katz;Jimmy Lin;Aaron Fernandes.
international acm sigir conference on research and development in information retrieval (2003)

429 Citations

Data-intensive Question Answering

Eric Brill;Jimmy J. Lin;Michele Banko;Susan T. Dumais.
text retrieval conference (2001)

411 Citations

Overview of the TREC 2007 Question Answering Track

Hoa Trang Dang;Diane Kelly;Jimmy J. Lin.
text retrieval conference (2007)

386 Citations

Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks

Hua He;Kevin Gimpel;Jimmy Lin.
empirical methods in natural language processing (2015)

368 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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