David Wells

112 total papers · 622 total citations
32 papers, 314 citations indexed

About

David Wells is a scholar working on Information Systems, Sociology and Political Science and Literature and Literary Theory. According to data from OpenAlex, David Wells has authored 32 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 5 papers in Sociology and Political Science and 5 papers in Literature and Literary Theory. Recurrent topics in David Wells's work include Library Collection Development and Digital Resources (6 papers), Linguistics and language evolution (4 papers) and Web and Library Services (4 papers). David Wells is often cited by papers focused on Library Collection Development and Digital Resources (6 papers), Linguistics and language evolution (4 papers) and Web and Library Services (4 papers). David Wells collaborates with scholars based in Australia, Germany and Canada. David Wells's co-authors include Νικόλαος Πέλλας, Panagiotis Fotaris, Ioannis Kazanidis, Sandra Wilson, Chris Richardson, Wolfgang Bangerth, Marc Fehling, Daniel Arndt, Wolfgang Bangerth and René Gassmöller and has published in prestigious journals such as The Modern Language Review, Virtual Reality and The Slavic and East European Journal.

In The Last Decade

David Wells

21 papers receiving 283 citations

Hit Papers

Augmenting the learning e... 2018 2026 2020 2023 2018 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Wells 148 118 95 71 34 32 314
Kitti Puritat 50 0.3× 79 0.7× 77 0.8× 111 1.6× 43 1.3× 52 298
Muhammad Zahid Iqbal 108 0.7× 72 0.6× 134 1.4× 35 0.5× 31 0.9× 28 281
Tien‐Yu Hsu 74 0.5× 104 0.9× 42 0.4× 71 1.0× 59 1.7× 24 307
Mauricio Hincapié 159 1.1× 65 0.6× 99 1.0× 29 0.4× 31 0.9× 31 319
Núria Martí Audí 132 0.9× 83 0.7× 119 1.3× 45 0.6× 68 2.0× 23 350
Telmo Zarraonandí­a 107 0.7× 53 0.4× 115 1.2× 75 1.1× 30 0.9× 40 272
Min Lun Wu 79 0.5× 82 0.7× 51 0.5× 75 1.1× 76 2.2× 27 260
Valéria Farinazzo Martins 73 0.5× 68 0.6× 67 0.7× 40 0.6× 59 1.7× 63 260
Tosti H.C. Chiang 131 0.9× 143 1.2× 100 1.1× 75 1.1× 105 3.1× 12 330
Mohammed Jaboob 83 0.6× 65 0.6× 89 0.9× 44 0.6× 50 1.5× 16 333

Countries citing papers authored by David Wells

Since Specialization
Citations

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

Fields of papers citing papers by David Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Wells

This figure shows the co-authorship network connecting the top 25 collaborators of David Wells. A scholar is included among the top collaborators of David Wells based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Wells. David Wells is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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