Joe Walsh

466 total citations
18 papers, 299 citations indexed

About

Joe Walsh is a scholar working on Political Science and International Relations, Sociology and Political Science and General Health Professions. According to data from OpenAlex, Joe Walsh has authored 18 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Political Science and International Relations, 5 papers in Sociology and Political Science and 3 papers in General Health Professions. Recurrent topics in Joe Walsh's work include Air Quality and Health Impacts (3 papers), Crime Patterns and Interventions (3 papers) and Electoral Systems and Political Participation (2 papers). Joe Walsh is often cited by papers focused on Air Quality and Health Impacts (3 papers), Crime Patterns and Interventions (3 papers) and Electoral Systems and Political Participation (2 papers). Joe Walsh collaborates with scholars based in United States, Australia and Norway. Joe Walsh's co-authors include Rayid Ghani, Eric Potash, Raed Mansour, Cortland Lohff, Kenneth Joseph, Jennifer Helsby, Ayesha S. Mahmud, Samuel Carton, Youngsoo Park and Steven Jones and has published in prestigious journals such as Scientific Reports, JAMA Network Open and Maternal and Child Health Journal.

In The Last Decade

Joe Walsh

17 papers receiving 288 citations

Peers

Joe Walsh
Tanvir Hasan Bangladesh
Benjamin Alamar United States
Vijay Verma India
Jennifer Benz United States
Kausar S Khan Pakistan
Kathleen Leslie Canada
Magnus Rom Jensen Norway
Michael L. Bentley United States
Miruna Petrescu‐Prahova United States
Stephanie Steels United Kingdom
Tanvir Hasan Bangladesh
Joe Walsh
Citations per year, relative to Joe Walsh Joe Walsh (= 1×) peers Tanvir Hasan

Countries citing papers authored by Joe Walsh

Since Specialization
Citations

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

Fields of papers citing papers by Joe Walsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joe Walsh

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

All Works

18 of 18 papers shown
1.
Ramachandran, Arthi, Avishek Kumar, Joe Walsh, et al.. (2020). Predictive Analytics for Retention in Care in an Urban HIV Clinic. Scientific Reports. 10(1). 6421–6421. 26 indexed citations
2.
DeBeliso, Mark, et al.. (2020). COVID-19: Beyond Washing Your Hands and Social Distancing. Digital Commons - CSUMB (California State University, Monterey Bay). 9(99). 1–4. 1 indexed citations
3.
Potash, Eric, et al.. (2020). Validation of a Machine Learning Model to Predict Childhood Lead Poisoning. JAMA Network Open. 3(9). e2012734–e2012734. 32 indexed citations
4.
Adams, Kent J., et al.. (2020). The Golf Caddie - The Forgotten Worker. 5(1). 41–44. 4 indexed citations
5.
Johnson, Rebecca, et al.. (2019). Using machine learning to help vulnerable tenants in New York city. 248–258. 15 indexed citations
6.
Jones, Steven, et al.. (2019). Peace, Transport, and Understanding: A place for Samfunnssikkerhet in African Peacebuilding?. Journal of Peacebuilding & Development. 14(2). 216–221. 1 indexed citations
7.
Ackermann, Klaus, et al.. (2018). Deploying Machine Learning Models for Public Policy. 15–22. 13 indexed citations
8.
Bauman, Matthew J., et al.. (2018). Reducing Incarceration through Prioritized Interventions. 1–8. 11 indexed citations
9.
Thorland, W., et al.. (2017). Status of Breastfeeding and Child Immunization Outcomes in Clients of the Nurse–Family Partnership. Maternal and Child Health Journal. 21(3). 439–445. 9 indexed citations
10.
Walsh, Joe. (2017). Moving into a care home: advice for lesbian, gay and bisexual people.
11.
Helsby, Jennifer, Samuel Carton, Kenneth Joseph, et al.. (2017). Early Intervention Systems: Predicting Adverse Interactions Between Police and the Public. Criminal Justice Policy Review. 29(2). 190–209. 26 indexed citations
12.
Jones, Steven, et al.. (2016). Public transport and health outcomes in rural sub-Saharan Africa – A synthesis of professional opinion. Journal of Transport & Health. 3(2). 211–219. 29 indexed citations
13.
Carton, Samuel, Jennifer Helsby, Kenneth Joseph, et al.. (2016). Identifying Police Officers at Risk of Adverse Events. 67–76. 31 indexed citations
14.
Walsh, Joe. (2016). Fix Dementia Care: Homecare. 22 indexed citations
15.
Burgess, Matthew G., et al.. (2016). The Legislative Influence Detector. 57–66. 18 indexed citations
16.
Walsh, Joe. (2016). Fix Dementia Care: Hospitals. 35 indexed citations
17.
Wulczyn, Ellery, et al.. (2016). Identifying Earmarks in Congressional Bills. 303–311. 2 indexed citations
18.
Potash, Eric, Joe Brew, Subhabrata Majumdar, et al.. (2015). Predictive Modeling for Public Health. 2039–2047. 24 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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