Tine Compernolle

46 total papers · 474 total citations
28 papers, 294 citations indexed

About

Tine Compernolle is a scholar working on Economics and Econometrics, Finance and Management, Monitoring, Policy and Law. According to data from OpenAlex, Tine Compernolle has authored 28 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Economics and Econometrics, 16 papers in Finance and 5 papers in Management, Monitoring, Policy and Law. Recurrent topics in Tine Compernolle's work include Capital Investment and Risk Analysis (16 papers), Climate Change Policy and Economics (13 papers) and Economic and Environmental Valuation (5 papers). Tine Compernolle is often cited by papers focused on Capital Investment and Risk Analysis (16 papers), Climate Change Policy and Economics (13 papers) and Economic and Environmental Valuation (5 papers). Tine Compernolle collaborates with scholars based in Belgium, Netherlands and United Kingdom. Tine Compernolle's co-authors include Kris Welkenhuysen, Jacco Thijssen, Peter M. Kort, Gwenny Thomassen, Kris Piessens, Kuno Huisman, Steven Van Passel, Maarten Van Acker, Robert Goodspeed and C.C.D.F. van Ree and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, The Science of The Total Environment and Journal of Environmental Management.

In The Last Decade

Tine Compernolle

27 papers receiving 283 citations

Author Peers

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

Author						Papers	Cites
Tine Compernolle	85	69	65	50	44	28	294
Hao Zhang	118 1.4×	63 0.9×	29 0.4×	46 0.9×	43 1.0×	29	334
Mark C. Roberts	148 1.7×	42 0.6×	58 0.9×	43 0.9×	40 0.9×	17	256
Virgínia Parente	63 0.7×	21 0.3×	61 0.9×	32 0.6×	31 0.7×	23	324
Conor Hickey	125 1.5×	45 0.7×	76 1.2×	37 0.7×	31 0.7×	16	293
Piotr Saługa	131 1.5×	35 0.5×	65 1.0×	30 0.6×	12 0.3×	34	295
Miao Yu	109 1.3×	38 0.6×	53 0.8×	82 1.6×	70 1.6×	21	342
Ying Zhang	178 2.1×	37 0.5×	61 0.9×	11 0.2×	120 2.7×	21	348
Susana Iglesias Antelo	98 1.2×	25 0.4×	74 1.1×	12 0.2×	39 0.9×	24	359
Yang Yang	138 1.6×	23 0.3×	57 0.9×	64 1.3×	61 1.4×	12	279
Mariia Kozlova	128 1.5×	84 1.2×	78 1.2×	12 0.2×	47 1.1×	37	335

Countries citing papers authored by Tine Compernolle

Since Specialization

Citations

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

Fields of papers citing papers by Tine Compernolle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tine Compernolle

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