Tiina Pajula

39 total papers · 446 total citations
20 papers, 296 citations indexed

About

Tiina Pajula is a scholar working on Environmental Engineering, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Tiina Pajula has authored 20 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Environmental Engineering, 5 papers in Electrical and Electronic Engineering and 4 papers in Industrial and Manufacturing Engineering. Recurrent topics in Tiina Pajula's work include Environmental Impact and Sustainability (7 papers), Green IT and Sustainability (4 papers) and Extraction and Separation Processes (3 papers). Tiina Pajula is often cited by papers focused on Environmental Impact and Sustainability (7 papers), Green IT and Sustainability (4 papers) and Extraction and Separation Processes (3 papers). Tiina Pajula collaborates with scholars based in Finland, Spain and Germany. Tiina Pajula's co-authors include Tuomas Helin, Laura Sokka, Sampo Soimakallio, Kim Pingoud, Saija Vatanen, Kaisa Grönman, Risto Soukka, Maija Leino, Hanna Pihkola and Jani Sillman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Energies.

In The Last Decade

Tiina Pajula

20 papers receiving 274 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tiina Pajula 151 94 52 42 37 20 296
Clara Valente 153 1.0× 78 0.8× 94 1.8× 74 1.8× 27 0.7× 14 334
Daniel Klein 158 1.0× 148 1.6× 102 2.0× 30 0.7× 13 0.4× 14 360
Eeva Lehtonen 74 0.5× 35 0.4× 91 1.8× 25 0.6× 53 1.4× 17 322
Lucia Elghali 117 0.8× 34 0.4× 26 0.5× 49 1.2× 28 0.8× 15 354
Maggie Davis 84 0.6× 40 0.4× 56 1.1× 40 1.0× 10 0.3× 18 287
Jukka Höhn 61 0.4× 47 0.5× 74 1.4× 15 0.4× 33 0.9× 8 319
Martina Haase 102 0.7× 17 0.2× 44 0.8× 38 0.9× 27 0.7× 17 330
Jens Ponitka 57 0.4× 49 0.5× 35 0.7× 24 0.6× 15 0.4× 12 345
Sylvia Sleep 102 0.7× 57 0.6× 32 0.6× 35 0.8× 34 0.9× 13 335
Stefan Muench 114 0.8× 20 0.2× 45 0.9× 30 0.7× 16 0.4× 17 363

Countries citing papers authored by Tiina Pajula

Since Specialization
Citations

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

Fields of papers citing papers by Tiina Pajula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiina Pajula

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

All Works

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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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