Daniel J. Liebling

18 total papers · 743 total citations
14 papers, 511 citations indexed

About

Daniel J. Liebling is a scholar working on Information Systems, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Daniel J. Liebling has authored 14 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 4 papers in Artificial Intelligence and 3 papers in Human-Computer Interaction. Recurrent topics in Daniel J. Liebling's work include Web Data Mining and Analysis (4 papers), Information Retrieval and Search Behavior (4 papers) and Topic Modeling (2 papers). Daniel J. Liebling is often cited by papers focused on Web Data Mining and Analysis (4 papers), Information Retrieval and Search Behavior (4 papers) and Topic Modeling (2 papers). Daniel J. Liebling collaborates with scholars based in United States and United Kingdom. Daniel J. Liebling's co-authors include Jaime Teevan, Susan Dumais, Sören Preibusch, Michael S. Bernstein, Eric Horvitz, Walter S. Lasecki, Meredith Ringel Morris, Boris Smus, Paul N. Bennett and Ryen W. White and has published in prestigious journals such as .

In The Last Decade

Daniel J. Liebling

14 papers receiving 476 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel J. Liebling 299 169 95 85 83 14 511
Kumaripaba Athukorala 259 0.9× 180 1.1× 38 0.4× 112 1.3× 75 0.9× 23 488
David Piorkowski 282 0.9× 135 0.8× 65 0.7× 69 0.8× 148 1.8× 22 477
Haowei Hsieh 252 0.8× 152 0.9× 150 1.6× 149 1.8× 66 0.8× 31 557
Alan Wexelblat 223 0.7× 122 0.7× 183 1.9× 143 1.7× 56 0.7× 21 583
Clemens Drews 166 0.6× 183 1.1× 99 1.0× 89 1.0× 59 0.7× 16 577
Nyi Nyi Htun 172 0.6× 182 1.1× 46 0.5× 91 1.1× 34 0.4× 24 487
Dan Ingalls 278 0.9× 237 1.4× 54 0.6× 59 0.7× 84 1.0× 14 606
Rob DeLine 187 0.6× 92 0.5× 166 1.7× 105 1.2× 43 0.5× 8 487
Robert Kass 117 0.4× 346 2.0× 85 0.9× 82 1.0× 29 0.3× 17 544
Micheline Beaulieu 364 1.2× 329 1.9× 30 0.3× 91 1.1× 29 0.3× 20 585

Countries citing papers authored by Daniel J. Liebling

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Liebling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Liebling. 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 Daniel J. Liebling. The network helps show where Daniel J. Liebling may publish in the future.

Co-authorship network of co-authors of Daniel J. Liebling

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Liebling. A scholar is included among the top collaborators of Daniel J. Liebling 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 Daniel J. Liebling. Daniel J. Liebling 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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