Andrew Madden

51 papers receiving 562 citations

Peers

Andrew Madden
Comparison fields: 5 of 130
  • Library and Information Sciences 66
  • Communication 67
  • Computer Science Applications 46
  • Information Systems 183
  • Information Systems and Management 48
Replace Younghee Noh with:
Younghee Noh South Korea
A. N. Zainab Malaysia
Katsuhiro Umemoto Japan
Suliman Hawamdeh United States
Claire R. McInerney United States
Dirk Lewandowski Germany
Alex James Wilson United States
Ali Shiri Canada
Forbes Gibb United Kingdom
Muhammad Rafiq Pakistan
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Citations per field
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Citations per year

Countries citing papers authored by Andrew Madden

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Madden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201189
2 200544
3 200641
4 200037
5 200330
6 200729
7 200425
8 200925
9 201922
10 201920
11 200719
12 200818
13 201817
14 202216
15 201915
16 200914
17 200711
18 198411
19 198410
20 202010

About Andrew Madden

Andrew Madden is a scholar working on Information Systems, Artificial Intelligence, Management Science and Operations Research, Education and Sociology and Political Science, having authored 52 papers that have together received 641 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (7 papers), Stock Market Forecasting Methods (5 papers), Library Science and Information Literacy (4 papers), Forecasting Techniques and Applications (4 papers), Advanced Text Analysis Techniques (4 papers), Time Series Analysis and Forecasting (3 papers), Gender and Technology in Education (3 papers) and Online and Blended Learning (3 papers). The work is most often cited by research in Library and Information Sciences (66 citations), Communication (67 citations), Computer Science Applications (46 citations), Information Systems (183 citations) and Information Systems and Management (48 citations). Andrew Madden has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Nigel Ford, David Miller, Barry Eaglestone, Philippa Levy, Daifeng Li, Genevieve Gorrell, Yazdan Mansourian, Sheila Webber, Martin Whittle and Miguel Baptista Nunes. Their work appears in journals such as Journal of Documentation, Biochemical Society Transactions, The Electronic Library, Information Processing & Management and Information Sciences.

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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