Mitchell Bowden

402 citations
17 papers · 286 · h-index 8

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Speech and dialogue systems
    • Semantic Web and Ontologies
    • Advanced Text Analysis Techniques
    • Image Retrieval and Classification Techniques
    • Advanced Image and Video Retrieval Techniques
    • Video Analysis and Summarization

Papers in

Mitchell Bowden

15 papers receiving 221 citations

Peers

Mitchell Bowden
Comparison fields: 5 of 35
  • Artificial Intelligence 196
  • Computer Vision and Pattern Recognition 84
  • Information Systems 44
  • Media Technology 14
  • Health Informatics 1
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Citations per field
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Citations per year

Countries citing papers authored by Mitchell Bowden

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell Bowden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Mitchell Bowden, 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 Mitchell Bowden Line = papers co-authored together Mitchell Bowden links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200579
2
Answer Mining by Combining Extraction Techniques with Abductive Reasoning.
200357
3
Employing two question answering systems in TREC-2005
200556
4
A Temporally-Enhanced PowerAnswer in TREC 2006
200619
5
Understanding food insecurity in Australia
202014
6
Lymba's PowerAnswer 4 in TREC 2007
200712
7 200712
8 202110
9 20087
10
Experiments and analysis of lcc’s two qa systems over trec2004
20046
11
LCC at TRECVID 2005
20054
12 20243
13 20243
14 20232
15 20241
16 20031
17 20250

About Mitchell Bowden

Mitchell Bowden is a scholar working on Artificial Intelligence, General Health Professions, Clinical Psychology, Computer Vision and Pattern Recognition and Safety Research, having authored 17 papers that have together received 286 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers), Speech and dialogue systems (4 papers), Child Abuse and Trauma (2 papers), Semantic Web and Ontologies (2 papers), Image Retrieval and Classification Techniques (2 papers), Child Welfare and Adoption (2 papers) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Artificial Intelligence (196 citations), Computer Vision and Pattern Recognition (84 citations), Information Systems (44 citations), Media Technology (14 citations) and Health Informatics (1 citation). Mitchell Bowden has collaborated with scholars based in Australia, South Korea and United States. Frequent co-authors include Dan Moldovan, Christine Clark, Munirathnam Srikanth, Sanda M. Harabagiu, John Williams, Andrew Hickl, Patrick Wang, Marta Tatu, Faizan Javed and Xiang Cheng. Their work appears in journals such as BMC Women s Health, School Mental Health, BJGP Open, Lecture notes in computer science and Australian Journal of General Practice.

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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