Christopher Malon

533 citations
21 papers · 357 · h-index 8

Impact in

Papers in

    • Natural Language Processing Techniques 6
    • Topic Modeling 6
    • AI in cancer detection 5
    • Handwritten Text Recognition Techniques 3
    • Image Processing and 3D Reconstruction 3
    • Image Retrieval and Classification Techniques 3
    • Digital Imaging for Blood Diseases 2

Christopher Malon

20 papers receiving 334 citations

Peers

Christopher Malon
Comparison fields: 5 of 54
  • Space and Planetary Science 76
  • Computer Vision and Pattern Recognition 240
  • Geology 63
  • Biophysics 28
  • Artificial Intelligence 150
Replace William A. Christens‐Barry with:
William A. Christens‐Barry United States
Markus Diem Austria
Ron Slossberg Israel
Kutsev Bengisu Ozyoruk United States
Nripendra Kumar Singh India
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Frédéric Richard France
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Gil Shamai Israel
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Malon

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Malon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Christopher Malon, 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 Christopher Malon Line = papers co-authored together Christopher Malon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200285
2 200448
3 200848
4 201244
5 201234
6 201332
7 200824
8 200610
9 20075
10 20115
11 20223
12
NECLA at the Medical Natural Language Processing Pilot Task (MedNLP).
20133
13 20223
14 20223
15 20183
16 20213
17
Separation of Touching Characters Using DP Matching
20071
18
Slot-Filling by Substring Extraction at TAC KBP 2012 (Team Papelo)
20121
19 20211
20 20211

About Christopher Malon

Christopher Malon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Molecular Biology and Space and Planetary Science, having authored 21 papers that have together received 357 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers), AI in cancer detection (5 papers), Handwritten Text Recognition Techniques (3 papers), Image Processing and 3D Reconstruction (3 papers), Image Retrieval and Classification Techniques (3 papers), Mathematics, Computing, and Information Processing (3 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Space and Planetary Science (76 citations), Computer Vision and Pattern Recognition (240 citations), Geology (63 citations), Biophysics (28 citations) and Artificial Intelligence (150 citations). Christopher Malon has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Marshall Bern, David Theo Goldberg, Seiichi Uchida, Masakazu Suzuki, Eric Cosatto, Hans Peter Graf, Akira Saito, Elena F. Brachtel, Masahiko Kuroda and John S. Meyer. Their work appears in journals such as Image and Vision Computing, Pattern Recognition Letters, Computational Geometry, Analytical Cellular Pathology and Lecture notes in computer science.

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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