Timo Pihkala

83 total papers · 1.3k total citations
43 papers, 858 citations indexed

About

Timo Pihkala is a scholar working on Management of Technology and Innovation, Organizational Behavior and Human Resource Management and Education. According to data from OpenAlex, Timo Pihkala has authored 43 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Management of Technology and Innovation, 16 papers in Organizational Behavior and Human Resource Management and 14 papers in Education. Recurrent topics in Timo Pihkala's work include Entrepreneurship Studies and Influences (30 papers), Family Business Performance and Succession (15 papers) and Corporate Finance and Governance (9 papers). Timo Pihkala is often cited by papers focused on Entrepreneurship Studies and Influences (30 papers), Family Business Performance and Succession (15 papers) and Corporate Finance and Governance (9 papers). Timo Pihkala collaborates with scholars based in Finland, France and Monaco. Timo Pihkala's co-authors include Elena Ruskovaara, Jukka Vesalainen, Sascha Kraus, Vesa Harmaakorpi, Elina Varamäki, Satu Pekkarinen, Håkan Ylinenpää, Jaana Seikkula‐Leino, Iiro Jussila and Marko Kohtamäki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Teaching and Teacher Education and Urban Studies.

In The Last Decade

Timo Pihkala

40 papers receiving 777 citations

Author Peers

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

Author						Papers	Cites
Timo Pihkala	533	254	217	200	96	43	858
Anderson Galvão	567 1.1×	173 0.7×	194 0.9×	190 0.9×	53 0.6×	37	894
Jonathan Lean	271 0.5×	258 1.0×	199 0.9×	122 0.6×	167 1.7×	40	1.0k
Denise T. Smart	466 0.9×	241 0.9×	242 1.1×	144 0.7×	213 2.2×	23	939
Kamariah Ismail	450 0.8×	134 0.5×	192 0.9×	203 1.0×	122 1.3×	93	859
Sascha G. Walter	687 1.3×	181 0.7×	321 1.5×	132 0.7×	164 1.7×	33	932
Elina Varamäki	474 0.9×	129 0.5×	208 1.0×	222 1.1×	70 0.7×	37	733
Daniela Maresch	515 1.0×	172 0.7×	171 0.8×	150 0.8×	174 1.8×	29	1.0k
Jay Mitra	418 0.8×	111 0.4×	175 0.8×	178 0.9×	95 1.0×	63	714
Pi‐Shen Seet	225 0.4×	90 0.4×	243 1.1×	199 1.0×	126 1.3×	61	753
Fernando G. Alberti	395 0.7×	133 0.5×	175 0.8×	420 2.1×	108 1.1×	39	1.0k

Countries citing papers authored by Timo Pihkala

Since Specialization

Citations

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

Fields of papers citing papers by Timo Pihkala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timo Pihkala

This figure shows the co-authorship network connecting the top 25 collaborators of Timo Pihkala. A scholar is included among the top collaborators of Timo Pihkala 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 Timo Pihkala. Timo Pihkala 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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