Jason R. Baron

451 total citations
20 papers, 278 citations indexed

About

Jason R. Baron is a scholar working on Information Systems, Artificial Intelligence and Political Science and International Relations. According to data from OpenAlex, Jason R. Baron has authored 20 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 10 papers in Artificial Intelligence and 6 papers in Political Science and International Relations. Recurrent topics in Jason R. Baron's work include Digital and Cyber Forensics (8 papers), Artificial Intelligence in Law (6 papers) and Digital and Traditional Archives Management (3 papers). Jason R. Baron is often cited by papers focused on Digital and Cyber Forensics (8 papers), Artificial Intelligence in Law (6 papers) and Digital and Traditional Archives Management (3 papers). Jason R. Baron collaborates with scholars based in United States, Canada and United Kingdom. Jason R. Baron's co-authors include Douglas W. Oard, Stephen Tomlinson, David Lewis, George Paul, Paul M. Thompson, Paul Thompson, Victoria L. Lemieux, David A. Evans, Chris Buckley and Robert S. Bauer and has published in prestigious journals such as AI & Society, Artificial Intelligence and Law and Journal on Computing and Cultural Heritage.

In The Last Decade

Jason R. Baron

18 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason R. Baron United States	9	176	142	66	66	20	20	278
Ana Alice Baptista Portugal	9	81 0.5×	156 1.1×	36 0.5×	30 0.5×	14 0.7×	67	284
Renato Rocha Souza Brazil	8	87 0.5×	83 0.6×	12 0.2×	25 0.4×	15 0.8×	55	216
Thomas Margoni Belgium	9	130 0.7×	51 0.4×	23 0.3×	17 0.3×	5 0.3×	55	276
Ngo Xuan Bach Vietnam	11	247 1.4×	98 0.7×	45 0.7×	23 0.3×	28 1.4×	31	301
Jack G. Conrad United States	11	244 1.4×	121 0.9×	90 1.4×	39 0.6×	8 0.4×	29	342
Vanda Broughton United Kingdom	7	149 0.8×	114 0.8×	11 0.2×	10 0.2×	18 0.9×	23	280
Juan Pane Italy	7	106 0.6×	69 0.5×	21 0.3×	23 0.3×	12 0.6×	20	168
Mark Edward Phillips United States	8	42 0.2×	106 0.7×	18 0.3×	45 0.7×	3 0.1×	67	218
Prodromos Malakasiotis Greece	10	372 2.1×	71 0.5×	52 0.8×	22 0.3×	27 1.4×	24	417
Fariza Fauzi Malaysia	8	93 0.5×	64 0.5×	8 0.1×	27 0.4×	26 1.3×	28	248

Countries citing papers authored by Jason R. Baron

Since Specialization

Citations

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

Fields of papers citing papers by Jason R. Baron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason R. Baron. 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 Jason R. Baron. The network helps show where Jason R. Baron may publish in the future.

Co-authorship network of co-authors of Jason R. Baron

This figure shows the co-authorship network connecting the top 25 collaborators of Jason R. Baron. A scholar is included among the top collaborators of Jason R. Baron 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 Jason R. Baron. Jason R. Baron 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

Baron, Jason R.. (2025). Using AI in providing greater access to the U.S. government’s email: a progress report. AI & Society. 40(7). 5359–5372.

Giannella, Chris, et al.. (2024). Improving Automated Detection of FOIA Deliberative Process Privilege Content. Digital Government Research and Practice. 5(2). 1–8. 1 indexed citations

Branting, L. Karl, et al.. (2023). Decision support for detecting sensitive text in government records. Artificial Intelligence and Law. 33(1). 171–197.

Baron, Jason R., et al.. (2022). Providing More Efficient Access to Government Records: A Use Case Involving Application of Machine Learning to Improve FOIA Review for the Deliberative Process Privilege. Journal on Computing and Cultural Heritage. 15(1). 1–19. 7 indexed citations

Baron, Jason R., et al.. (2017). Dark Archives and Edemocracy: Strategies for Overcoming Access Barriers to the Public Record Archives of the Future. 3–11. 8 indexed citations

Baron, Jason R., et al.. (2017). Auto-categorization methods for digital archives. 2288–2298. 8 indexed citations

Baron, Jason R., et al.. (2016). Opening up dark digital archives through the use of analytics to identify sensitive content. 3224–3229. 11 indexed citations

Baron, Jason R., et al.. (2016). What lessons can be learned from the US archivist’s digital mandate for 2019 and is there potential for applying them in lower resource countries?. Records Management Journal. 26(2). 206–217. 13 indexed citations

Baron, Jason R., et al.. (2014). Finding the Signal in the Noise: Information Governance, Analytics, and the Future of Legal Practice. 20(2). 7. 5 indexed citations

10.

Baron, Jason R.. (2014). Toward a new jurisprudence of information retrieval: What constitutes a “reasonable” search for digital evidence when using keywords?. 5(0). 1 indexed citations

11.

Baron, Jason R.. (2011). Law in the Age of Exabytes: Some further Thoughts on ‘Information Inflation’ and Current Issues in E-Discovery Search. 17(3). 9. 5 indexed citations

12.

Lemieux, Victoria L. & Jason R. Baron. (2011). Overcoming the digital tsunami in e-discovery: is visual analysis the answer?. eYLS (Yale Law School). 9. 5 indexed citations

13.

Oard, Douglas W., et al.. (2010). Evaluation of information retrieval for E-discovery. Artificial Intelligence and Law. 18(4). 347–386. 40 indexed citations

14.

Tomlinson, Stephen, et al.. (2009). Overview of the TREC 2009 Legal Track. Text REtrieval Conference. 42 indexed citations

15.

Oard, Douglas W., et al.. (2008). Overview of the TREC 2008 Legal Track. Text REtrieval Conference. 41 indexed citations

16.

Evans, David A., Jason R. Baron, Chris Buckley, & Robert S. Bauer. (2008). E-discovery. 1527–1527. 3 indexed citations

17.

Paul, George & Jason R. Baron. (2007). Information Inflation: Can The Legal System Adapt?. 13(3). 10. 16 indexed citations

18.

Tomlinson, Stephen, Douglas W. Oard, Jason R. Baron, & Paul M. Thompson. (2007). Overview of the TREC 2007 Legal Track.. Text REtrieval Conference. 28 indexed citations

19.

Baron, Jason R. & Paul Thompson. (2007). The search problem posed by large heterogeneous data sets in litigation. 141–147. 8 indexed citations

20.

Baron, Jason R., David Lewis, & Douglas W. Oard. (2006). TREC-2006 Legal Track Overview. Text REtrieval Conference. 36 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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