Ira Haavisto

569 total citations
25 papers, 365 citations indexed

About

Ira Haavisto is a scholar working on Organizational Behavior and Human Resource Management, Strategy and Management and Management Information Systems. According to data from OpenAlex, Ira Haavisto has authored 25 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organizational Behavior and Human Resource Management, 8 papers in Strategy and Management and 6 papers in Management Information Systems. Recurrent topics in Ira Haavisto's work include Facility Location and Emergency Management (10 papers), Outsourcing and Supply Chain Management (5 papers) and Supply Chain Resilience and Risk Management (5 papers). Ira Haavisto is often cited by papers focused on Facility Location and Emergency Management (10 papers), Outsourcing and Supply Chain Management (5 papers) and Supply Chain Resilience and Risk Management (5 papers). Ira Haavisto collaborates with scholars based in Finland, Italy and Israel. Ira Haavisto's co-authors include Gyöngyi Kovács, Jarrod Goentzel, Graham Heaslip, Hlekiwe Kachali, Riikka‐Leena Leskelä, Mikko Nuutinen, Yong Wu, Paulus Torkki, Nina Helander and Aki Jääskeläinen and has published in prestigious journals such as Vaccine, International Journal of Production Research and BMC Medicine.

In The Last Decade

Ira Haavisto

24 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ira Haavisto Finland 10 201 187 132 82 27 25 365
Hossein Baharmand Norway 10 155 0.8× 167 0.9× 108 0.8× 63 0.8× 22 0.8× 22 398
Ioanna Falagara Sigala Austria 8 215 1.1× 168 0.9× 142 1.1× 42 0.5× 44 1.6× 9 374
Orla Stapleton France 8 114 0.6× 255 1.4× 72 0.5× 95 1.2× 17 0.6× 10 347
Amin Maghsoudi Finland 10 223 1.1× 178 1.0× 135 1.0× 118 1.4× 41 1.5× 18 432
Rolando Tomasini France 6 243 1.2× 391 2.1× 151 1.1× 137 1.7× 17 0.6× 6 531
Aline Gatignon United States 6 155 0.8× 126 0.7× 45 0.3× 65 0.8× 24 0.9× 9 274
Marcia Perry Australia 9 218 1.1× 98 0.5× 213 1.6× 66 0.8× 23 0.9× 18 424
Ala Pazirandeh Sweden 10 350 1.7× 196 1.0× 193 1.5× 66 0.8× 55 2.0× 15 547
Hella Abidi Germany 7 203 1.0× 236 1.3× 174 1.3× 52 0.6× 11 0.4× 9 333
Leif‐Magnus Jensen Sweden 8 232 1.2× 296 1.6× 188 1.4× 103 1.3× 6 0.2× 18 423

Countries citing papers authored by Ira Haavisto

Since Specialization
Citations

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

Fields of papers citing papers by Ira Haavisto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ira Haavisto

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

All Works

20 of 20 papers shown
1.
2.
Nuutinen, Mikko, Riikka‐Leena Leskelä, Daniela Fialová, et al.. (2025). Effect of discontinuing antipsychotic medications on the risk of hospitalization in long-term care: a machine learning-based analysis. BMC Medicine. 23(1). 484–484.
3.
Leskelä, Riikka‐Leena, et al.. (2023). Predictive factors for prolonged sick leave in breast cancer patients treated with adjuvant therapies: a retrospective registry study. Acta Oncologica. 62(10). 1331–1337. 1 indexed citations
4.
Nuutinen, Mikko, Ira Haavisto, Paula Poikonen‐Saksela, et al.. (2023). Aid of a machine learning algorithm can improve clinician predictions of patient quality of life during breast cancer treatments. Health and Technology. 13(2). 229–244. 3 indexed citations
5.
Hakkarainen, Tuula, Ira Haavisto, Mikko Nuutinen, et al.. (2023). EE435 Cost-Analysis of a Machine Learning-Based Clinical Decision Support System to Guide Resilience-Strengthening Intervention Decisions in Breast Cancer Treatment: The Bounce Study. Value in Health. 26(12). S134–S135. 1 indexed citations
6.
Leskelä, Riikka‐Leena, Ira Haavisto, Mikko Nuutinen, et al.. (2023). Trends in cost of treatment of lung cancer patients in 2014–2019 in Finland – a descriptive register study. Acta Oncologica. 62(6). 587–593. 1 indexed citations
7.
Nuutinen, Mikko, et al.. (2022). Statistical model for factors correlating with COVID-19 deaths. International Journal of Disaster Risk Reduction. 82. 103333–103333. 1 indexed citations
8.
Gylling, Annette, Florian Herse, Ira Haavisto, et al.. (2022). Long-term surveillance of rotavirus vaccination after implementation of a national immunization program in Finland (2008–2018). Vaccine. 40(29). 3942–3947. 3 indexed citations
9.
Kachali, Hlekiwe, et al.. (2022). Are preparedness indices reflective of pandemic preparedness? A COVID-19 reality check. International Journal of Disaster Risk Reduction. 77. 103074–103074. 11 indexed citations
10.
Nuutinen, Mikko, Ira Haavisto, Paula Poikonen‐Saksela, et al.. (2022). Impact of Machine Learning Assistance on the Quality of Life Prediction for Breast Cancer Patients. Työväentutkimus Vuosikirja. 344–352. 2 indexed citations
11.
Jääskeläinen, Aki, et al.. (2020). Designing a maturity model for analyzing information and knowledge management in the public sector. VINE Journal of Information and Knowledge Management Systems. 52(1). 120–140. 12 indexed citations
12.
Kachali, Hlekiwe, et al.. (2018). Inter-sectoral preparedness and mitigation for networked risks and cascading effects. International Journal of Disaster Risk Reduction. 30. 281–291. 30 indexed citations
13.
Heaslip, Graham, Gyöngyi Kovács, & Ira Haavisto. (2018). Cash-based response in relief: the impact for humanitarian logistics. Journal of Humanitarian Logistics and Supply Chain Management. 8(1). 87–106. 42 indexed citations
14.
Heaslip, Graham, Gyöngyi Kovács, & Ira Haavisto. (2018). Innovations in humanitarian supply chains: the case of cash transfer programmes. Production Planning & Control. 29(14). 1175–1190. 24 indexed citations
15.
Tatham, Peter, et al.. (2017). Humanitarian health project supply chain costs. Supply Chain Forum an International Journal. 19(1). 70–80. 6 indexed citations
16.
Haavisto, Ira & Gyöngyi Kovács. (2015). A Framework for Cascading Innovation Upstream the Humanitarian Supply Chain through Procurement Processes. Procedia Engineering. 107. 140–145. 9 indexed citations
17.
Haavisto, Ira, et al.. (2015). Country logistics performance and disaster impact. Disasters. 40(2). 262–283. 20 indexed citations
18.
Haavisto, Ira & Jarrod Goentzel. (2015). Measuring humanitarian supply chain performance in a multi-goal context. Journal of Humanitarian Logistics and Supply Chain Management. 5(3). 300–324. 55 indexed citations
19.
Haavisto, Ira. (2014). Performance in humanitarian supply chains. Työväentutkimus Vuosikirja. 10 indexed citations
20.
Pettit, Stephen, Anthony Kenneth Charles Beresford, Ira Haavisto, Gyöngyi Kovács, & Peter Tatham. (2010). The logistics cost drivers of humanitarian disasters. ORCA Online Research @Cardiff. 1 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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