John Tait

1.3k citations
65 papers · 692 indexed · h-index 14

John Tait

61 papers receiving 599 citations

Peers

John Tait
Comparison fields: 5 of 83
  • Artificial Intelligence 455
  • Information Systems 188
  • Computer Vision and Pattern Recognition 171
  • Signal Processing 30
  • Media Technology 21
Replace Nanda Kambhatla with:
Nanda Kambhatla United States
Ashok C. Popat United States
Chen Liang United States
Somnath Banerjee India
Sung-Hyon Myaeng South Korea
Jorge Morato Spain
Fangli Xu China
Amit Bagga United States
Mary Elaine Califf United States
Weihong Qian China
John Tait relative to Nanda Kambhatla United States Nanda Kambhatla's profile →
Citations per field
00.5×2.6×
Nanda Kambhatla · 1×
Citations per year

Countries citing papers authored by John Tait

Since Specialization
Citations

This map shows the geographic impact of John Tait'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 John Tait with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Tait more than expected).

Fields of papers citing papers by John Tait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Tait. 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 John Tait. The network helps show where John Tait may publish in the future.

Co-authorship network

The 25 scholars most cited alongside John Tait, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Tait Line = papers co-authored together John Tait links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Proceedings of the 3rd international workshop on Patent information retrieval
20102
2
Overview of the TREC 2009 Chemical IR Track
20098
3 20091
4
Proceedings of the 1st ACM workshop on Patent information retrieval
20083
5 20083
6
CoLesIR at CLEF 2006: Rapid Prototyping of an N-gram-Based CLIR System
20061
7
Proceedings of the Workshop on How Can Computational Linguistics Improve Information Retrieval
20062
8 20066
9
SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Salvador, Brazil, August 15-19, 2005
20052
10 20054
11
Scaling Connectionist Compositional Representations.
20040
12 20043
13 20041
14
Towards a Sense Based Document Representation for Internet Information Retrieval.
20033
15 2003108
16 20004
17
CHROMA: A Content-based Image Retrieval System (demonstration abstract).
19991
18 199999
19
Improved classification for a data fusing Kohonen self organizing map using a dynamic thresholding technique
19995
20
Determination of machine condition using neural networks
19941

About John Tait

John Tait is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Human Factors and Ergonomics and Geography, Planning and Development, having authored 65 papers that have together received 692 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (22 papers), Image Retrieval and Classification Techniques (18 papers), Topic Modeling (17 papers), Semantic Web and Ontologies (16 papers), Advanced Image and Video Retrieval Techniques (15 papers), Information Retrieval and Search Behavior (12 papers), Web Data Mining and Analysis (8 papers) and Advanced Text Analysis Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (455 citations), Information Systems (188 citations), Computer Vision and Pattern Recognition (171 citations), Signal Processing (30 citations) and Media Technology (21 citations). John Tait has collaborated with scholars based in United Kingdom, Austria and United States. Frequent co-authors include Michael Oakes, Karen Spärck Jones, Chih‐Fong Tsai, Kenneth McGarry, Sharon McDonald, Darren Pearce, John Carroll, Guido Minnen, Mihai Lupu and Jianhan Zhu. Their work appears in journals such as Information Processing & Management, ACM SIGIR Forum, Natural Language Engineering, ACM Transactions on Information Systems and Capital & Class.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026