J.J. Hull

4.4k citations
36 papers · 2.9k indexed · 2 hit papers · h-index 12

J.J. Hull

35 papers receiving 2.7k citations

Hit Papers

A database for handwritten text recognition research1.5k19942026200420154008001.2k

Peers

J.J. Hull
Comparison fields: 5 of 135
  • Computer Vision and Pattern Recognition 1.8k
  • Artificial Intelligence 1.6k
  • Media Technology 328
  • Signal Processing 337
  • Computational Mathematics 18
Replace Kai Yu with:
Kai Yu Germany
Fanzhang Li China
Benyu Zhang China
Francesco Camastra Italy
Kuang-Chih Lee United States
Sugato Basu United States
Minnan Luo China
S. V. N. Vishwanathan United States
Zhihui Lai China
Marius Kloft Germany
J.J. Hull relative to Kai Yu Germany Kai Yu's profile →
Citations per field
00.5×5.4×
Kai Yu · 1×
Citations per year

Countries citing papers authored by J.J. Hull

Since Specialization
Citations

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

Fields of papers citing papers by J.J. Hull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 12 scholars most cited alongside J.J. Hull, 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 J.J. Hull Line = papers co-authored together J.J. Hull links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
117 Multiple Algorithms for Handwritten Character Recognition
20134
2 20055
3 20047
4 200479
5 20044
6 20039
7 20023
8 20021
9 20021
10 20020
11 20021
12 200219
13 200214
14 20023
15
The infinite memory multifunction machine (IM
19982
16 199616
17
Document image matching and retrieval with multiple distortion-invariant descriptors
199418
18
Decision combination in multiple classifier systemsbreakdown →
19941035
19
Document Understanding: Research Directions
19923
20
Optical character recognition techniques in mail sorting: a review of algorithms
19842

About J.J. Hull

J.J. Hull is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Philosophy, having authored 36 papers that have together received 2.9k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (14 papers), Advanced Image and Video Retrieval Techniques (11 papers), Image Retrieval and Classification Techniques (9 papers), Video Analysis and Summarization (7 papers), Algorithms and Data Compression (7 papers), Health, Medicine and Society (5 papers), Hermeneutics and Narrative Identity (5 papers) and Aging, Elder Care, and Social Issues (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Artificial Intelligence (1.6k citations) and Media Technology (328 citations). J.J. Hull has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Sargur N. Srihari, Tin Kam Ho, B. Erol, Dar-Shyang Lee, Peter E. Hart, Tao Hong, Edward A. K. Cohen, Jamey Graham, Rohini K. Srihari and S. Srihari. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer, IEEE Multimedia and Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

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.

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