Jonathan Larson

14 papers receiving 158 citations

Peers

Jonathan Larson
Comparison fields: 5 of 59
  • Public Administration 69
  • Neuropsychology and Physiological Psychology 4
  • Clinical Psychology 51
  • General Health Professions 54
  • Management Information Systems 11
Replace Hye‐Kyung Kang with:
Hye‐Kyung Kang United States
Andrew Koster Spain
Tony Thompson United States
Barbara Harris United States
Wendy Fitzgibbon United Kingdom
Konrad Czechowski Canada
Lynn Fischer United States
Young Sook Shin South Korea
Logan Stapleton United States
Esben Houborg Denmark
Jonathan Larson relative to Hye‐Kyung Kang United States Hye‐Kyung Kang's profile →
Citations per field
00.5×
Hye‐Kyung Kang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jonathan Larson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Larson Line = papers co-authored together Jonathan Larson links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Direct Social Work Practice
1986126
2 201814
3
What a Year of WFH has done to our Relationships at Work
20216
4 20176
5 20185
6 20214
7 20203
8 20223
9 20233
10
PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing
20202
11 20242
12 20242
13 20182
14 20071
15 20201
16 20240
17 20250
18 20250

About Jonathan Larson

Jonathan Larson is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 18 papers that have together received 180 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Data Visualization and Analytics (3 papers), Advanced Graph Neural Networks (2 papers), Opinion Dynamics and Social Influence (2 papers), Network Security and Intrusion Detection (2 papers), Topic Modeling (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Data Management and Algorithms (1 paper). The work is most often cited by research in Public Administration (69 citations), Neuropsychology and Physiological Psychology (4 citations), Clinical Psychology (51 citations), General Health Professions (54 citations) and Management Information Systems (11 citations). Jonathan Larson has collaborated with scholars based in United States and United Kingdom. Frequent 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, Youngser Park and Cencheng Shen. Their work appears in journals such as Information Sciences, Management Science, Computational Statistics & Data Analysis, IEEE Transactions on Visualization and Computer Graphics and IEEE Transactions on Network Science and Engineering.

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.

Explore authors with similar magnitude of impact