Jonathan Larson

698 total citations
18 papers, 180 citations indexed

About

Jonathan Larson is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Jonathan Larson has authored 18 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Statistical and Nonlinear Physics and 5 papers in Information Systems. Recurrent topics in Jonathan Larson's work include Complex Network Analysis Techniques (7 papers), Data Visualization and Analytics (3 papers) and Topic Modeling (2 papers). Jonathan Larson is often cited by papers focused on Complex Network Analysis Techniques (7 papers), Data Visualization and Analytics (3 papers) and Topic Modeling (2 papers). Jonathan Larson collaborates with scholars based in United States and United Kingdom. Jonathan Larson's co-authors include Ronald H. Rooney, Kimberly Strom‐Gottfried, Dean H. Hepworth, Christopher White, Darren Edge, Nancy K. Baym, Nathalie Henry Riche, Nathan J. Evans, Carey E. Priebe and Markus Möbius and has published in prestigious journals such as Management Science, Pattern Recognition and Information Sciences.

In The Last Decade

Jonathan Larson

14 papers receiving 158 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Larson United States	5	69	54	51	44	23	18	180
Hye‐Kyung Kang United States	8	89 1.3×	76 1.4×	51 1.0×	73 1.7×	28 1.2×	23	223
Andrew Koster Spain	8	65 0.9×	55 1.0×	122 2.4×	77 1.8×	5 0.2×	20	230
Tony Thompson United States	9	31 0.4×	99 1.8×	39 0.8×	32 0.7×	21 0.9×	30	383
Logan Stapleton United States	6	9 0.1×	21 0.4×	16 0.3×	59 1.3×	22 1.0×	13	205
Konrad Czechowski Canada	9	11 0.2×	75 1.4×	39 0.8×	49 1.1×	11 0.5×	19	154
Young Sook Shin South Korea	3	34 0.5×	23 0.4×	7 0.1×	98 2.2×	37 1.6×	5	224
Wendy Fitzgibbon United Kingdom	12	48 0.7×	156 2.9×	147 2.9×	273 6.2×	9 0.4×	33	374
Barbara Harris United States	9	57 0.8×	34 0.6×	13 0.3×	29 0.7×	34 1.5×	25	298
Lynn Fischer United States	6	6 0.1×	82 1.5×	17 0.3×	57 1.3×	9 0.4×	7	240
Kate Barrelle Australia	8	3 0.0×	19 0.4×	56 1.1×	229 5.2×	21 0.9×	10	284

Countries citing papers authored by Jonathan Larson

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Larson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Larson

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

All Works

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18 of 18 papers shown

Cahoon, Joyce, Prerna Singh, Jonathan Larson, et al.. (2025). Optimizing open-domain question answering with graph-based retrieval augmented generation. 1–11.

Larson, Jonathan, et al.. (2025). Towards Effective Extraction and Evaluation of Factual Claims. 6996–7045.

Žužul, Tiona, Emily Cox Pahnke, Jonathan Larson, et al.. (2024). Dynamic Silos: Increased Modularity and Decreased Stability in Intraorganizational Communication Networks During the COVID-19 Pandemic. Management Science. 71(4). 3428–3448. 2 indexed citations

Arroyo, Jesús, Avanti Athreya, Joshua Cape, et al.. (2024). Multiple network embedding for anomaly detection in time series of graphs. Computational Statistics & Data Analysis. 203. 108070–108070.

Shen, Cencheng, Carey E. Priebe, Jonathan Larson, & Ha Trinh. (2024). Synergistic graph fusion via encoder embedding. Information Sciences. 678. 120912–120912. 2 indexed citations

Shen, Cencheng, et al.. (2023). Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics. IEEE Transactions on Network Science and Engineering. 11(2). 2100–2109. 3 indexed citations

Basu, Amitabh, Avanti Athreya, Youngser Park, et al.. (2022). Distance-based positive and unlabeled learning for ranking. Pattern Recognition. 134. 109085–109085. 3 indexed citations

Baym, Nancy K., et al.. (2021). What a Year of WFH has done to our Relationships at Work. Harvard business review. 6 indexed citations

Larson, Jonathan, et al.. (2021). A Graph Embedding Approach to User Behavior Anomaly Detection. 2021 IEEE International Conference on Big Data (Big Data). 2650–2655. 4 indexed citations

10.

Chan, Justin, Dean P. Foster, Eric Horvitz, et al.. (2020). PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing. IEEE Data(base) Engineering Bulletin. 43(2). 15–35. 2 indexed citations

11.

Larson, Jonathan, Darren Edge, Nathan J. Evans, & Christopher White. (2020). Making Sense of Search: Using Graph Embedding and Visualization to Transform Query Understanding. 1–8. 1 indexed citations

12.

Evans, Nathan J., Darren Edge, Jonathan Larson, & Christopher White. (2020). News Provenance: Revealing News Text Reuse at Web-Scale in an Augmented News Search Experience. 1–8. 3 indexed citations

13.

Edge, Darren, Jonathan Larson, Markus Möbius, & Christopher White. (2018). Trimming the Hairball: Edge Cutting Strategies for Making Dense Graphs Usable. 3951–3958. 5 indexed citations

14.

Edge, Darren, Jonathan Larson, & Christopher White. (2018). Bringing AI to BI. 1–9. 14 indexed citations

15.

Larson, Jonathan, et al.. (2018). Using Web-Scale Graph Analytics to Counter Technical Support Scams. 3968–3971. 2 indexed citations

16.

Edge, Darren, Nathalie Henry Riche, Jonathan Larson, & Christopher White. (2017). Beyond Tasks: An Activity Typology for Visual Analytics. IEEE Transactions on Visualization and Computer Graphics. 24(1). 267–277. 6 indexed citations

17.

Larson, Jonathan, et al.. (2007). VAST 2007 Contest Data Analysis Using NdCore and REGGAE. 245–246. 1 indexed citations

18.

Rooney, Ronald H., et al.. (1986). Direct Social Work Practice. 126 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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