Sam Solaimani

1.0k total citations
35 papers, 655 citations indexed

About

Sam Solaimani is a scholar working on Management Information Systems, Strategy and Management and Management of Technology and Innovation. According to data from OpenAlex, Sam Solaimani has authored 35 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Management Information Systems, 16 papers in Strategy and Management and 8 papers in Management of Technology and Innovation. Recurrent topics in Sam Solaimani's work include Innovation and Knowledge Management (10 papers), Business Process Modeling and Analysis (7 papers) and Quality and Supply Management (6 papers). Sam Solaimani is often cited by papers focused on Innovation and Knowledge Management (10 papers), Business Process Modeling and Analysis (7 papers) and Quality and Supply Management (6 papers). Sam Solaimani collaborates with scholars based in Netherlands, Finland and Iran. Sam Solaimani's co-authors include Harry Bouwman, Jack A.A. van der Veen, Marikka Heikkilä, Bo van der Rhee, Mark de Reuver, Nick Guldemond, Wil Janssen, Durward K. Sobek, Jukka Heikkilä and Fardad Zand and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Journal of Business Research.

In The Last Decade

Sam Solaimani

32 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sam Solaimani Netherlands 15 303 243 97 95 79 35 655
Xiang Wan United States 12 311 1.0× 287 1.2× 188 1.9× 64 0.7× 47 0.6× 36 621
CLAUDIA APARECIDA MATTOS Brazil 11 251 0.8× 200 0.8× 123 1.3× 83 0.9× 63 0.8× 28 759
Pratima Verma India 19 441 1.5× 309 1.3× 102 1.1× 72 0.8× 103 1.3× 59 870
Aline Dresch Brazil 15 212 0.7× 251 1.0× 69 0.7× 141 1.5× 149 1.9× 31 847
Raúl Rodríguez Rodríguez Spain 16 282 0.9× 285 1.2× 62 0.6× 126 1.3× 99 1.3× 56 666
Peter Vervest Netherlands 13 246 0.8× 182 0.7× 148 1.5× 105 1.1× 146 1.8× 38 650
José Antônio Valle Antunes Brazil 15 215 0.7× 214 0.9× 63 0.6× 125 1.3× 110 1.4× 54 829
António Abreu Portugal 13 259 0.9× 147 0.6× 44 0.5× 79 0.8× 191 2.4× 69 625
Teemu Laine Finland 15 204 0.7× 231 1.0× 130 1.3× 221 2.3× 54 0.7× 47 659
Andrew Manikas United States 16 306 1.0× 265 1.1× 107 1.1× 67 0.7× 55 0.7× 56 824

Countries citing papers authored by Sam Solaimani

Since Specialization
Citations

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

Fields of papers citing papers by Sam Solaimani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Solaimani

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Solaimani. A scholar is included among the top collaborators of Sam Solaimani 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 Sam Solaimani. Sam Solaimani 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.
Dabestani, Reza, et al.. (2025). Exploring the enablers of data-driven business models: A mixed-methods approach. Technological Forecasting and Social Change. 213. 124036–124036. 1 indexed citations
2.
Ellis, Edward, et al.. (2022). Exploration and Prioritization of Critical Success Factors in Adoption of Artificial Intelligence: a mixed-methods study. International Journal of Business Information Systems. 1(1). 1–1. 2 indexed citations
3.
Solaimani, Sam, et al.. (2022). An exploration of the applicability of Lean Startup in small non-digital firms: an effectuation perspective. International Journal of Entrepreneurial Behaviour & Research. 28(9). 198–218. 10 indexed citations
5.
Argyrou, Aikaterini, et al.. (2020). Gender (In)Equality in the Bangladeshi Readymade Garment Sector: A Systematic Review. SSRN Electronic Journal.
6.
Solaimani, Sam, et al.. (2019). Electronic Theses and Dissertations Programs: A Review of the Critical Success Factors. College & Research Libraries. 80(1). 60–75. 14 indexed citations
7.
Solaimani, Sam, et al.. (2019). An integrative view on Lean innovation management. Journal of Business Research. 105. 109–120. 50 indexed citations
8.
Solaimani, Sam, et al.. (2018). Analyzing National Electronic Theses and Dissertations programs from business model perspective. Online Information Review. 42(2). 250–267. 5 indexed citations
9.
Zand, Fardad, Sam Solaimani, & Cees van Beers. (2015). A Role-based Typology of Information Technology: Model Development and Assessment. Information Systems Management. 32(2). 119–135. 10 indexed citations
10.
Heikkilä, Marikka, Harry Bouwman, Jukka Heikkilä, Sam Solaimani, & Wil Janssen. (2015). Business model metrics: an open repository. Information Systems and e-Business Management. 14(2). 337–366. 26 indexed citations
11.
Heikkilä, Marikka, et al.. (2014). Performance Estimation of Networked Business Models: Case Study on a Finnish eHealth Service Project. SHILAP Revista de lepidopterología. 15 indexed citations
12.
Heikkilä, Marikka, et al.. (2014). Workplace primary prevention programmes enabled by information and communication technology. Technological Forecasting and Social Change. 89. 326–332. 13 indexed citations
13.
Solaimani, Sam & Harry Bouwman. (2013). A qualitative analysis on Business Model Implementation : A design case on a Dutch bank.. Data Archiving and Networked Services (DANS). 1 indexed citations
14.
Solaimani, Sam, et al.. (2013). Networked enterprise business model alignment: A case study on smart living. Information Systems Frontiers. 17(4). 871–887. 24 indexed citations
15.
Solaimani, Sam, Nick Guldemond, & Harry Bouwman. (2013). Dynamic stakeholder interaction analysis: Innovative smart living design cases. Electronic Markets. 23(4). 317–328. 22 indexed citations
16.
Solaimani, Sam, et al.. (2013). What we do – and don’t – know about the Smart Home: An analysis of the Smart Home literature. Indoor and Built Environment. 24(3). 370–383. 64 indexed citations
17.
Solaimani, Sam & Harry Bouwman. (2012). Stakeholder Analysis enriched with the Analysis of Inter- Organizational Interactions and Interdependencies: Case- study on innovative Smart Living projects. Journal of the Association for Information Systems. 36. 1 indexed citations
18.
Solaimani, Sam & Harry Bouwman. (2012). A framework for the alignment of business model and business processes. Business Process Management Journal. 18(4). 655–679. 53 indexed citations
19.
Solaimani, Sam, Harry Bouwman, & Mark de Reuver. (2010). Smart Home: Aligning Business Models and Providers Processes: A case survey. Data Archiving and Networked Services (DANS). 9 indexed citations
20.
Oostendorp, Herre van, et al.. (2008). Conditions for learning from animations. International Conference of Learning Sciences. 438–445. 9 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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