James A. Malcolm

938 citations
49 papers · 575 · h-index 13

Impact in

Papers in

James A. Malcolm

46 papers receiving 498 citations

Peers

James A. Malcolm
Comparison fields: 5 of 87
  • Health Informatics 24
  • Safety Research 136
  • Artificial Intelligence 236
  • Transportation 38
  • Computer Networks and Communications 109
Replace Fujio Toriumi with:
Fujio Toriumi Japan
Jeffrey M. Rzeszotarski United States
Jennifer Cobbe United Kingdom
Hemank Lamba United States
Dustin Arendt United States
Roy George United States
Alexandra Sasha Luccioni Canada
Suvodeep Mazumdar United Kingdom
Dimitris Kotzinos France
Michael Fire Israel
James A. Malcolm relative to Fujio Toriumi Japan Fujio Toriumi's profile →
Citations per field
00.5×3.3×
Fujio Toriumi · 1×
Citations per year

Countries citing papers authored by James A. Malcolm

Since Specialization
Citations

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

Fields of papers citing papers by James A. Malcolm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Malcolm. 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 James A. Malcolm. The network helps show where James A. Malcolm may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Detecting Short Passages of Similar Text in Large Document Collections
2001105
2 200665
3
A theoretical basis to the automated detection of copying between texts, and its practical implementation in the Ferret plagiarism and collusion detector
200442
4 201633
5 201530
6
Plagiarism is Easy, but also Easy To Detect
200626
7 201425
8 200725
9 198023
10 201322
11 200615
12
Tackling the PAN’09 External Plagiarism Detection Corpus with a Desktop Plaigiarism Detector
200913
13 201612
14 200612
15 201710
16 20079
17 20059
18
Text similarity in academic conference papers
20068
19
Comparing Different Text Similarity Methods
20078
20 20147

About James A. Malcolm

James A. Malcolm is a scholar working on Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science, Safety Research and Transportation, having authored 49 papers that have together received 575 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Topic Modeling (10 papers), Academic integrity and plagiarism (6 papers), Maritime Security and History (6 papers), Mobile Ad Hoc Networks (6 papers), International Maritime Law Issues (5 papers), Wireless Networks and Protocols (4 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Health Informatics (24 citations), Safety Research (136 citations), Artificial Intelligence (236 citations), Transportation (38 citations) and Computer Networks and Communications (109 citations). James A. Malcolm has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Caroline Lyon, Bruce Christianson, Hannan Xiao, Durward L. Allen, Peter C. R. Lane, Martin Loomes, Andreas Albrecht, Ying Zhang, Kee Chaing Chua and Kathleen Steinhöfel. Their work appears in journals such as Computer Communications, Journal of Wildlife Management, Global Policy, The British Journal of Politics and International Relations and IEEE Journal of Biomedical and Health Informatics.

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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