Fernando Schramm

421 total citations
28 papers, 290 citations indexed

About

Fernando Schramm is a scholar working on Management Science and Operations Research, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Fernando Schramm has authored 28 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Management Science and Operations Research, 5 papers in Artificial Intelligence and 4 papers in Information Systems and Management. Recurrent topics in Fernando Schramm's work include Multi-Criteria Decision Making (9 papers), Cognitive Science and Mapping (5 papers) and Economic and Environmental Valuation (3 papers). Fernando Schramm is often cited by papers focused on Multi-Criteria Decision Making (9 papers), Cognitive Science and Mapping (5 papers) and Economic and Environmental Valuation (3 papers). Fernando Schramm collaborates with scholars based in Brazil and United States. Fernando Schramm's co-authors include Vanessa Batista Schramm, Danielle Costa Morais, Josimar Vieira dos Reis, Luiz Moreira Coelho, Mónica Carvalho, M. Costa, Annibal Parracho Sant’Anna, Lúcio Câmara e Silva, Rômulo Simões Cézar Menezes and Emmanuel Damilano Dutra and has published in prestigious journals such as Journal of Cleaner Production, Sustainability and Environmental Science & Policy.

In The Last Decade

Fernando Schramm

23 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Schramm Brazil 8 137 120 62 26 24 28 290
Astrid Oddershede Chile 9 89 0.6× 90 0.8× 49 0.8× 18 0.7× 29 1.2× 29 288
Ahmet Selcuk Yalcin Türkiye 5 176 1.3× 122 1.0× 67 1.1× 30 1.2× 38 1.6× 8 349
Tossapol Kiatcharoenpol Thailand 6 121 0.9× 146 1.2× 63 1.0× 25 1.0× 25 1.0× 31 326
Vanessa Batista Schramm Brazil 7 123 0.9× 120 1.0× 51 0.8× 25 1.0× 21 0.9× 25 275
Somayeh Soheilirad Malaysia 4 217 1.6× 119 1.0× 66 1.1× 33 1.3× 24 1.0× 7 371
Seyed Hamed Moosavirad Iran 7 126 0.9× 152 1.3× 57 0.9× 46 1.8× 19 0.8× 18 340
Wolfgang Ossadnik Germany 6 153 1.1× 61 0.5× 48 0.8× 21 0.8× 32 1.3× 13 340
Alejandro Alvarado Mexico 7 114 0.8× 77 0.6× 63 1.0× 18 0.7× 35 1.5× 11 337
Seyed Ashkan Zarghami Australia 13 155 1.1× 128 1.1× 29 0.5× 55 2.1× 23 1.0× 44 452
Mohammad Reza Mehregan Iran 10 127 0.9× 85 0.7× 44 0.7× 8 0.3× 27 1.1× 36 326

Countries citing papers authored by Fernando Schramm

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Schramm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Schramm

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Schramm. A scholar is included among the top collaborators of Fernando Schramm 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 Fernando Schramm. Fernando Schramm 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.
Schramm, Vanessa Batista, et al.. (2025). Key aspects for evaluating projects developed within the context of the payment policy for environmental services in Brazil. Journal of Cleaner Production. 518. 145925–145925. 1 indexed citations
2.
Dutra, Emmanuel Damilano, et al.. (2025). Distribution and Spatial Dependence of Sugar Energy Bioelectricity in the Brazilian Scenario. Sustainability. 17(8). 3326–3326. 1 indexed citations
3.
Schramm, Fernando, et al.. (2025). A multicriteria model for assessing payment for environmental Services: Evidence from Brazil with global insights. Journal of Cleaner Production. 523. 146406–146406.
4.
Coelho, Luiz Moreira, et al.. (2025). Sugarcane Bioelectricity Supply in Brazil: A Regional Concentration and Structural Analysis. Sustainability. 17(9). 3780–3780. 1 indexed citations
5.
Schramm, Vanessa Batista, et al.. (2024). Análise bibliométrica dos fatores de desempenho de inovação em clusters industriais. DELOS Desarrollo Local Sostenible. 17(62). e3181–e3181.
6.
Coelho, Luiz Moreira, et al.. (2024). Supply of bioelectricity from sugarcane bagasse in Brazil: a space–time analysis. Sustainable Environment Research. 34(1). 9 indexed citations
7.
Schramm, Vanessa Batista, et al.. (2023). SUPPORTING THE CHOICE OF THE BEST-FIT AGILE MODEL USING FITRADEOFF. Pesquisa Operacional. 43(spe1). 3 indexed citations
8.
Schramm, Vanessa Batista, et al.. (2022). Facilitation Model for Supporting Integrative Water Resource Management. Water Resources Management. 36(13). 4913–4931. 3 indexed citations
9.
Schramm, Vanessa Batista, et al.. (2022). Problem Structuring Methods in Social-Ecological Systems. Systemic Practice and Action Research. 36(3). 461–478. 3 indexed citations
10.
Schramm, Fernando, et al.. (2022). Multi-criteria decision making/aid methods for assessing agricultural sustainability: A literature review. Environmental Science & Policy. 138. 85–96. 29 indexed citations
11.
Schramm, Fernando, et al.. (2021). A literature review on models for assessing corporate sustainability. International Journal of Sustainable Engineering. 14(6). 1306–1318. 4 indexed citations
12.
Schramm, Fernando, et al.. (2021). A multicriteria model, based on the PROMETHEE II, for assessing corporate sustainability. Clean Technologies and Environmental Policy. 23(10). 2927–2940. 15 indexed citations
13.
Schramm, Vanessa Batista, et al.. (2021). A multicriteria model for evaluation of Brazilian wineries from a tourism destination perspective. International Journal of Wine Business Research. 34(1). 52–68. 8 indexed citations
14.
Schramm, Fernando, et al.. (2019). Aplicação da matriz de probabilidade e impacto no gerenciamento de projetos em uma empresa de construção metálica. Anais ... Encontro Nacional de Engenharia de Produção.
15.
Schramm, Fernando, Vanessa Batista Schramm, Lúcio Câmara e Silva, & Annibal Parracho Sant’Anna. (2019). A Multi-Criteria Reverse Auction to Support Public Purchasing in Brazil. 1540–1544. 1 indexed citations
16.
Schramm, Vanessa Batista & Fernando Schramm. (2018). An Approach for Supporting Problem Structuring in Water Resources Management and Planning. Water Resources Management. 32(9). 2955–2968. 20 indexed citations
17.
Schramm, Vanessa Batista, et al.. (2018). The Use of Fuzzy Cognitive Maps to Support Problem Structuring in Watershed Committee. 3112–3116. 3 indexed citations
18.
Schramm, Fernando, et al.. (2016). A multicriteria approach for selection of agile methodologies in software development projects. 1. 2056–2060. 15 indexed citations
19.
Schramm, Fernando, et al.. (2014). A proposal of a procedure for evaluating individual's expectations and perceptions based on SERVQUAL. 140. 3537–3541. 3 indexed citations
20.
Schramm, Fernando, et al.. (2013). O uso do método PROMETHEE para seleção de candidatos à bolsa-formação do Pronatec. Production. 24(3). 548–558. 6 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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