Ian Soboroff

5.0k total citations
113 papers, 3.0k citations indexed

About

Ian Soboroff is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Ian Soboroff has authored 113 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 53 papers in Information Systems and 13 papers in Computer Networks and Communications. Recurrent topics in Ian Soboroff's work include Topic Modeling (37 papers), Information Retrieval and Search Behavior (31 papers) and Web Data Mining and Analysis (22 papers). Ian Soboroff is often cited by papers focused on Topic Modeling (37 papers), Information Retrieval and Search Behavior (31 papers) and Web Data Mining and Analysis (22 papers). Ian Soboroff collaborates with scholars based in United States, United Kingdom and Egypt. Ian Soboroff's co-authors include Nick Craswell, Iadh Ounis, Craig Macdonald, Arjen P. de Vries, Charles L. A. Clarke, Donna Harman, Charles Nicholas, Jimmy Lin, Ellen M. Voorhees and Patrick Cahan and has published in prestigious journals such as Journal of the American Medical Informatics Association, Information Processing & Management and Scientific Data.

In The Last Decade

Ian Soboroff

107 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ian Soboroff United States	30	2.1k	2.0k	355	309	265	113	3.0k
Rosie Jones United States	26	1.8k 0.9×	1.7k 0.9×	225 0.6×	331 1.1×	243 0.9×	62	3.1k
Jaap Kamps Netherlands	22	1.8k 0.9×	1.2k 0.6×	385 1.1×	287 0.9×	254 1.0×	209	2.6k
Krisztian Balog Norway	28	1.9k 0.9×	1.9k 1.0×	615 1.7×	160 0.5×	321 1.2×	131	2.7k
Hugo Zaragoza United Kingdom	22	2.6k 1.2×	1.8k 0.9×	147 0.4×	585 1.9×	255 1.0×	52	3.4k
Djoerd Hiemstra Netherlands	24	1.3k 0.6×	1.3k 0.7×	172 0.5×	368 1.2×	117 0.4×	161	2.2k
Falk Scholer Australia	24	1.3k 0.6×	1.3k 0.7×	261 0.7×	345 1.1×	215 0.8×	153	2.3k
Ben Carterette United States	27	1.4k 0.7×	1.6k 0.8×	299 0.8×	366 1.2×	377 1.4×	109	2.5k
Feida Zhu Singapore	28	1.5k 0.7×	1.1k 0.6×	264 0.7×	417 1.3×	173 0.7×	103	2.5k
Pablo Castells Spain	29	1.5k 0.7×	2.3k 1.2×	140 0.4×	534 1.7×	741 2.8×	115	3.0k

Countries citing papers authored by Ian Soboroff

Since Specialization

Citations

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

Fields of papers citing papers by Ian Soboroff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Soboroff

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

All Works

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20 of 20 papers shown

Pradeep, Ronak, Nandan Thakur, Daniel Campos, et al.. (2025). The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models. 180–190.

Voorhees, Ellen M., et al.. (2025). LLM-Assisted Relevance Assessments: When Should We Ask LLMs for Help?. 95–105. 1 indexed citations

Pradeep, Ronak, Nandan Thakur, Daniel Campos, et al.. (2025). A Large-Scale Study of Relevance Assessments with Large Language Models Using UMBRELA. 358–368.

Mayfield, James, Eugene Yang, Dawn Lawrie, et al.. (2024). On the Evaluation of Machine-Generated Reports. arXiv (Cornell University). 1904–1915. 6 indexed citations

Buntain, Cody, Richard McCreadie, & Ian Soboroff. (2020). Incident Streams 2020: TREC-IS in the Time of COVID-19. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1 indexed citations

McCreadie, Richard, et al.. (2019). On enhancing the robustness of timeline summarization test collections. Information Processing & Management. 56(5). 1815–1836. 4 indexed citations

Soboroff, Ian, Shudong Huang, & Donna Harman. (2018). TREC 2018 News Track Overview.. Text REtrieval Conference. 11 indexed citations

Kleiman‐Weiner, Max, et al.. (2014). Evaluating Stream Filtering for Entity Profile Updates in TREC 2012, 2013, and 2014.. Text REtrieval Conference. 6 indexed citations

Bauer, Steven, Max Kleiman‐Weiner, Daniel A. Roberts, et al.. (2013). Evaluating Stream Filtering for Entity Profile Updates for TREC 2013.. Text REtrieval Conference. 12 indexed citations

10.

Kleiman‐Weiner, Max, Daniel A. Roberts, Feng Niu, et al.. (2012). Building an Entity-Centric Stream Filtering Test Collection for TREC 2012. Text REtrieval Conference. 46 indexed citations

11.

Soboroff, Ian, Nick Craswell, Charles L. A. Clarke, & Gordon V. Cormack. (2011). Overview of the TREC 2011 Web Track | NIST. 27 indexed citations

12.

Soboroff, Ian, Craig Macdonald, Ben He, & Iadh Ounis. (2008). Limits of Opinion-Finding Baseline Systems | NIST. International ACM SIGIR Conference on Research and Development in Information Retrieval. 5 indexed citations

13.

Soboroff, Ian, et al.. (2008). Overview of the TREC 2007 Enterprise Track | NIST. 16 indexed citations

14.

Balog, Krisztian, Paul Thomas, Nick Craswell, et al.. (2008). Overview of the TREC 2008 Enterprise Track. Text REtrieval Conference. 51 indexed citations

15.

Bailey, Peter, Arjen P. de Vries, Nick Craswell, & Ian Soboroff. (2007). Overview of the TREC 2007 Enterprise Track.. Text REtrieval Conference. 52 indexed citations

16.

Ounis, Iadh, Craig Macdonald, & Ian Soboroff. (2006). Overview of the TREC 2006 Blog Track. UvA-DARE (University of Amsterdam). 15–27. 160 indexed citations

17.

Soboroff, Ian & Donna Harman. (2004). Overview of the TREC 2003 Novelty Track | NIST. 2 indexed citations

18.

Soboroff, Ian & Donna Harman. (2003). Overview of the TREC 2003 Novelty Track. Text REtrieval Conference. 38–53. 90 indexed citations

19.

Soboroff, Ian, et al.. (2003). Building a Filtering Test Collection for TREC 2002 | NIST. International ACM SIGIR Conference on Research and Development in Information Retrieval. 3 indexed citations

20.

Robertson, Stephen & Ian Soboroff. (2001). The TREC 2001 filtering track report. Text REtrieval Conference. 26–37. 44 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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