Allen Condit

502 citations
19 papers · 279 · h-index 9

Impact in

    • Handwritten Text Recognition Techniques
    • Image Retrieval and Classification Techniques
    • Natural Language Processing Techniques
    • Algorithms and Data Compression
    • Topic Modeling
    • Text and Document Classification Technologies
    • Semantic Web and Ontologies

Papers in

Allen Condit

17 papers receiving 246 citations

Peers

Allen Condit
Comparison fields: 5 of 21
  • Computer Vision and Pattern Recognition 144
  • Artificial Intelligence 193
  • Information Systems 106
  • Signal Processing 23
  • Media Technology 11
Replace Julie Borsack with:
Julie Borsack United States
Hwee-Boon Low Singapore
Yves Chiaramella France
Guillaume Poupard France
Markus Jakobsson United States
Antoon Bosselaers Belgium
Benne de Weger Netherlands
Cliff Brunk United States
Lingyuan Meng China
Atulya Velivelli United States
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

19 of 19 papers shown
#Work
1 199650
2 199439
3 199639
4 199437
5 199426
6 200419
7 200013
8 199913
9 199510
10 20038
11 20048
12 19993
13 19983
14 19953
15
Ontology-based Classification of Email
20033
16
The MANICURE document processing system
19982
17 20032
18 20071
19 20050

About Allen Condit

Allen Condit is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and General Health Professions, having authored 19 papers that have together received 279 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (7 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 (4 papers), Mathematics, Computing, and Information Processing (4 papers), Information Retrieval and Search Behavior (4 papers) and Topic Modeling (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (144 citations), Artificial Intelligence (193 citations), Information Systems (106 citations), Signal Processing (23 citations) and Media Technology (11 citations). Allen Condit has collaborated with scholars based in United States. Frequent co-authors include Julie Borsack, Kazem Taghva, Thomas A. Nartker and Jeffrey Coombs. Their work appears in journals such as Information Processing & Management, International Journal on Document Analysis and Recognition (IJDAR), ACM Transactions on Information Systems, International Journal of Pattern Recognition and Artificial Intelligence and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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