Dan Liebling

1.2k total citations · 1 hit paper
9 papers, 683 citations indexed

About

Dan Liebling is a scholar working on Information Systems, Computer Science Applications and Information Systems and Management. According to data from OpenAlex, Dan Liebling has authored 9 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 5 papers in Computer Science Applications and 3 papers in Information Systems and Management. Recurrent topics in Dan Liebling's work include Mobile Crowdsensing and Crowdsourcing (5 papers), Personal Information Management and User Behavior (3 papers) and Expert finding and Q&A systems (3 papers). Dan Liebling is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (5 papers), Personal Information Management and User Behavior (3 papers) and Expert finding and Q&A systems (3 papers). Dan Liebling collaborates with scholars based in United States, United Kingdom and South Korea. Dan Liebling's co-authors include Susan Dumais, Daniel Ramage, Eric Horvitz, Doug Downey, Fernando Díaz, Georg Buscher, Ryen W. White, Qingyao Ai, Nick Craswell and Jaime Teevan and has published in prestigious journals such as Proceedings of the International AAAI Conference on Web and Social Media.

In The Last Decade

Dan Liebling

9 papers receiving 628 citations

Hit Papers

Characterizing Microblogs with Topic Models 2010 2026 2015 2020 2010 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dan Liebling United States 6 354 349 213 101 59 9 683
Erel Uziel Israel 7 202 0.6× 413 1.2× 168 0.8× 102 1.0× 101 1.7× 10 608
Rowan Nairn United States 6 272 0.8× 293 0.8× 178 0.8× 84 0.8× 38 0.6× 8 531
Chien Chin Chen Taiwan 13 319 0.9× 273 0.8× 103 0.5× 186 1.8× 58 1.0× 36 634
Shila Ofek-Koifman Israel 7 158 0.4× 334 1.0× 116 0.5× 53 0.5× 59 1.0× 7 481
Ayman Farahat United States 10 230 0.6× 244 0.7× 146 0.7× 79 0.8× 51 0.9× 19 488
Ben Lund United States 6 157 0.4× 258 0.7× 64 0.3× 71 0.7× 53 0.9× 19 517
Thomas Gottron Germany 11 370 1.0× 270 0.8× 176 0.8× 132 1.3× 50 0.8× 41 627
Rongjing Xiang United States 7 256 0.7× 183 0.5× 300 1.4× 108 1.1× 30 0.5× 9 556
Sigalit Ur Israel 10 150 0.4× 335 1.0× 89 0.4× 56 0.6× 61 1.0× 10 489
Tony Hammond United States 5 156 0.4× 237 0.7× 62 0.3× 58 0.6× 50 0.8× 7 416

Countries citing papers authored by Dan Liebling

Since Specialization
Citations

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

Fields of papers citing papers by Dan Liebling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Liebling

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Liebling. A scholar is included among the top collaborators of Dan 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 Dan Liebling. Dan Liebling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Kairam, Sanjay, Meredith Ringel Morris, Jaime Teevan, Dan Liebling, & Susan Dumais. (2021). Towards Supporting Search over Trending Events with Social Media. Proceedings of the International AAAI Conference on Web and Social Media. 7(1). 283–292. 1 indexed citations
2.
Hecht, Brent, Jaime Teevan, Meredith Ringel Morris, & Dan Liebling. (2021). SearchBuddies: Bringing Search Engines into the Conversation. Proceedings of the International AAAI Conference on Web and Social Media. 6(1). 138–145. 3 indexed citations
3.
Jeong, Jin-Woo, Meredith Ringel Morris, Jaime Teevan, & Dan Liebling. (2021). A Crowd-Powered Socially Embedded Search Engine. Proceedings of the International AAAI Conference on Web and Social Media. 7(1). 263–272. 2 indexed citations
4.
Iqbal, Shamsi T., et al.. (2018). Multitasking with Play Write, a Mobile Microproductivity Writing Tool. 411–422. 19 indexed citations
5.
Dumais, Susan, et al.. (2017). Large-Scale Analysis of Email Search and Organizational Strategies. 215–223. 13 indexed citations
6.
Ai, Qingyao, Susan Dumais, Nick Craswell, & Dan Liebling. (2017). Characterizing Email Search using Large-scale Behavioral Logs and Surveys. 1511–1520. 18 indexed citations
7.
Díaz, Fernando, Ryen W. White, Georg Buscher, & Dan Liebling. (2013). Robust models of mouse movement on dynamic web search results pages. 1451–1460. 37 indexed citations
8.
Ramage, Daniel, Susan Dumais, & Dan Liebling. (2010). Characterizing Microblogs with Topic Models. Proceedings of the International AAAI Conference on Web and Social Media. 4(1). 130–137. 489 indexed citations breakdown →
9.
Downey, Doug, Susan Dumais, Dan Liebling, & Eric Horvitz. (2008). Understanding the relationship between searchers' queries and information goals. 449–458. 101 indexed citations

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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