David Elsweiler

2.2k citations
96 papers · 1.1k · h-index 19

Impact in

Papers in

David Elsweiler

92 papers receiving 1.1k citations

Peers

David Elsweiler
Comparison fields: 5 of 85
  • Information Systems and Management 270
  • Human-Computer Interaction 198
  • Information Systems 468
  • Communication 92
  • Computer Science Applications 58
Replace Morgan Harvey with:
Morgan Harvey United Kingdom
Eelco Herder Germany
Les Nelson United States
Ron Baecker Canada
Timothy Sohn United States
David Huynh United States
Emilee Rader United States
Sameer Patil United States
Sonia Chiasson Canada
Robert W. Reeder United States
David Elsweiler relative to Morgan Harvey United Kingdom Morgan Harvey's profile →
Citations per field
00.5×3.5×
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 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017122
2 2017108
3 200767
4 201550
5 200945
6 201436
7 200836
8 201735
9 201831
10 201130
11
Bringing the "healthy" into Food Recommenders
201528
12 202227
13 200726
14 201423
15 200722
16 201022
17 201922
18 201718
19
Learning user tastes: a first step to generating healthy meal plans
201218
20 201518

About David Elsweiler

David Elsweiler is a scholar working on Information Systems, Information Systems and Management, Artificial Intelligence, Sociology and Political Science and Human-Computer Interaction, having authored 96 papers that have together received 1.1k indexed citations. Recurring topics across this work include Personal Information Management and User Behavior (28 papers), Information Retrieval and Search Behavior (15 papers), Recommender Systems and Techniques (15 papers), Usability and User Interface Design (15 papers), Topic Modeling (9 papers), Speech and dialogue systems (7 papers), Misinformation and Its Impacts (7 papers) and Nutritional Studies and Diet (7 papers). The work is most often cited by research in Information Systems and Management (270 citations), Human-Computer Interaction (198 citations), Information Systems (468 citations), Communication (92 citations) and Computer Science Applications (58 citations). David Elsweiler has collaborated with scholars based in Germany, United Kingdom and Norway. Frequent co-authors include Christoph Trattner, Morgan Harvey, Ian Ruthven, Bernd Ludwig, Mark Baillie, Alan Said, Chris Jones, Simon Howard, Max L. Wilson and Martin Häcker. Their work appears in journals such as ACM SIGIR Forum, ACM Transactions on Information Systems, Information Processing & Management, Foods and Applied Intelligence.

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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