Allen Condit

503 citations
22 papers · 416 · h-index 10

Impact in

    • Handwritten Text Recognition Techniques
    • Image Retrieval and Classification Techniques
    • Advanced Image and Video Retrieval Techniques
    • Natural Language Processing Techniques
    • Algorithms and Data Compression
    • Topic Modeling
    • Text and Document Classification Technologies

Papers in

Allen Condit

21 papers receiving 371 citations

Peers

Allen Condit
Comparison fields: 5 of 24
  • Computer Vision and Pattern Recognition 225
  • Artificial Intelligence 274
  • Information Systems 137
  • Signal Processing 40
  • Media Technology 29
Replace Julie Borsack with:
Julie Borsack United States
F. Cesarini Italy
Gregory Marton United States
Thomas A. Berson United States
Hiroyuki Shinnou Japan
Luke O’Connor Australia
Yves Chiaramella France
Kun Peng Singapore
Hwee-Boon Low Singapore
Baodian Wei China
Allen Condit relative to Julie Borsack United States Julie Borsack's profile →
Citations per field
00.5×1.5×
Julie Borsack · 1×
Citations per year

Countries citing papers authored by Allen Condit

Since Specialization
Citations

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

Fields of papers citing papers by Allen Condit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Allen Condit, 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 Allen Condit Line = papers co-authored together Allen Condit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199664
2 199663
3 199456
4 199454
5 199430
6 200428
7 199421
8 199918
9 200016
10 199514
11 20039
12 19989
13 20048
14 19955
15 19975
16 19984
17
The MANICURE document processing system
19983
18 19993
19
Ontology-based Classification of Email
20033
20 20032

About Allen Condit

Allen Condit is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Signal Processing, having authored 22 papers that have together received 416 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (8 papers), Web Data Mining and Analysis (7 papers), Semantic Web and Ontologies (6 papers), Natural Language Processing Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers), Information Retrieval and Search Behavior (4 papers), Mathematics, Computing, and Information Processing (4 papers) and Topic Modeling (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (225 citations), Artificial Intelligence (274 citations), Information Systems (137 citations), Signal Processing (40 citations) and Media Technology (29 citations). Allen Condit has collaborated with scholars based in United States. Frequent co-authors include Kazem Taghva, Julie Borsack, Thomas A. Nartker and Jeffrey Coombs. Their work appears in journals such as Information Processing & Management, ACM Transactions on Information Systems, International Journal on Document Analysis and Recognition (IJDAR), Lecture notes in computer science and International Journal of Pattern Recognition and Artificial Intelligence.

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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