Byron Marshall

34 papers receiving 416 citations

Peers

Byron Marshall
Comparison fields: 5 of 63
  • Computer Science Applications 56
  • Management Information Systems 88
  • Information Systems 185
  • Communication 39
  • Artificial Intelligence 180
Replace Anjo Anjewierden with:
Anjo Anjewierden Netherlands
Suleyman Cetintas United States
Bastin Tony Roy Savarimuthu New Zealand
Hannu Jaakkola Finland
Harry Jiannan Wang United States
Michael Bieber United States
Robert P. Biuk‐Aghai Macao
Thomas Steiner Belgium
Rose Dieng France
Chetna Gupta India
Byron Marshall relative to Anjo Anjewierden Netherlands Anjo Anjewierden's profile →
Citations per field
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Anjo Anjewierden · 1×
Citations per year

Countries citing papers authored by Byron Marshall

Since Specialization
Citations

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

Fields of papers citing papers by Byron Marshall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Byron Marshall, 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 Byron Marshall Line = papers co-authored together Byron Marshall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200496
2 200343
3 200437
4 200437
5 200530
6 200525
7 200921
8 200420
9 200518
10 200614
11 201912
12 201011
13 201811
14 200911
15 201411
16 20048
17 20088
18 20066
19 20085
20 19825

About Byron Marshall

Byron Marshall is a scholar working on Information Systems, Artificial Intelligence, Management Information Systems, Computer Science Applications and Molecular Biology, having authored 36 papers that have together received 463 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (8 papers), Open Education and E-Learning (7 papers), Biomedical Text Mining and Ontologies (6 papers), Advanced Text Analysis Techniques (5 papers), Data Visualization and Analytics (4 papers), Information Retrieval and Search Behavior (4 papers), Information and Cyber Security (4 papers) and Innovative Teaching and Learning Methods (3 papers). The work is most often cited by research in Computer Science Applications (56 citations), Management Information Systems (88 citations), Information Systems (185 citations), Communication (39 citations) and Artificial Intelligence (180 citations). Byron Marshall has collaborated with scholars based in United States, United Kingdom and Lithuania. Frequent co-authors include Therani Madhusudan, Hsinchun Chen, Jing Zhao, Daniel McDonald, Siddharth Kaza, Hsinchun Chen, Edward A. Fox, Rao Shen, Michael Curry and Hua Su. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, International Journal of Information Management, International Journal of Accounting Information Systems, Data & Knowledge Engineering and ACM Transactions on Management Information Systems.

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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