David Elsweiler

2.3k citations
116 papers · 1.6k · h-index 21

Impact in

Papers in

David Elsweiler

110 papers receiving 1.5k citations

Peers

David Elsweiler
Comparison fields: 5 of 88
  • Information Systems and Management 377
  • Human-Computer Interaction 249
  • Information Systems 685
  • Communication 117
  • Computer Science Applications 90
Replace Morgan Harvey with:
Morgan Harvey United Kingdom
Carolyn R. Watters Canada
Eelco Herder Germany
Anita Komlódi United States
Jill Freyne Australia
Lester Nelson United States
Jaime Arguello United States
Emilee J. Rader United States
Jongpil Cheon United States
Ron Baecker Canada
David Elsweiler relative to Morgan Harvey United Kingdom Morgan Harvey's profile →
Citations per field
00.5×2×3.3×
Morgan Harvey · 1×
Citations per year

Countries citing papers authored by David Elsweiler

Since Specialization
Citations

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

Fields of papers citing papers by David Elsweiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017135
2 2017125
3 200792
4 201364
5 201557
6 200957
7 201151
8 200849
9 201447
10 200747
11 201738
12 201133
13 201833
14 201931
15
Bringing the "healthy" into Food Recommenders
201531
16 202230
17 201129
18 201428
19 201026
20 200724

About David Elsweiler

David Elsweiler is a scholar working on Information Systems and Management, Information Systems, Human-Computer Interaction, Artificial Intelligence and Communication, having authored 116 papers that have together received 1.6k indexed citations. Recurring topics across this work include Personal Information Management and User Behavior (30 papers), Information Retrieval and Search Behavior (18 papers), Usability and User Interface Design (16 papers), Recommender Systems and Techniques (15 papers), Topic Modeling (13 papers), Misinformation and Its Impacts (11 papers), Speech and dialogue systems (8 papers) and Mobile Crowdsensing and Crowdsourcing (8 papers). The work is most often cited by research in Information Systems and Management (377 citations), Human-Computer Interaction (249 citations), Information Systems (685 citations), Communication (117 citations) and Computer Science Applications (90 citations). David Elsweiler has collaborated with scholars based in Germany, United Kingdom and Norway. Frequent co-authors include Morgan Harvey, Christoph Trattner, Ian Ruthven, Bernd Ludwig, Mark Baillie, Max L. Wilson, Chris R. Jones, Alan Said, David E. Losada and Simon J Howard. Their work appears in journals such as ACM SIGIR Forum, Information Processing & Management, ACM Transactions on Information Systems, Foods and Lecture notes in computer science.

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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