J. M. Line

2.4k total citations · 2 hit papers
9 papers, 2.0k citations indexed

About

J. M. Line is a scholar working on Nature and Landscape Conservation, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, J. M. Line has authored 9 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Nature and Landscape Conservation, 3 papers in Artificial Intelligence and 3 papers in Atmospheric Science. Recurrent topics in J. M. Line's work include Geology and Paleoclimatology Research (3 papers), Ecology and Vegetation Dynamics Studies (3 papers) and Geochemistry and Geologic Mapping (3 papers). J. M. Line is often cited by papers focused on Geology and Paleoclimatology Research (3 papers), Ecology and Vegetation Dynamics Studies (3 papers) and Geochemistry and Geologic Mapping (3 papers). J. M. Line collaborates with scholars based in United Kingdom, Norway and Netherlands. J. M. Line's co-authors include H. J. B. Birks, Steve Juggins, Tony Stevenson, Cajo J. F. ter Braak, Nicholas J Shackleton, M. A. Hall, Arvid Odland, Francis Gilbert, Edith Harding and Chun‐Hung Lin and has published in prestigious journals such as Nature, Plant Ecology and The Holocene.

In The Last Decade

J. M. Line

9 papers receiving 1.8k citations

Hit Papers

Diatoms and pH reconstruction 1990 2026 2002 2014 1990 1992 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. M. Line United Kingdom 8 1.3k 821 463 325 307 9 2.0k
David B. Ryves United Kingdom 32 1.6k 1.3× 1.1k 1.3× 602 1.3× 432 1.3× 368 1.2× 63 2.6k
Bent Vad Odgaard Denmark 29 1.8k 1.4× 800 1.0× 472 1.0× 261 0.8× 490 1.6× 69 2.6k
Christian Kamenik Switzerland 28 1.2k 0.9× 708 0.9× 487 1.1× 418 1.3× 172 0.6× 49 1.7k
Jeffery R. Stone United States 20 963 0.7× 597 0.7× 325 0.7× 256 0.8× 159 0.5× 70 1.5k
Tom Blom Finland 13 680 0.5× 607 0.7× 213 0.5× 150 0.5× 110 0.4× 16 1.3k
Itaru Koizumi Japan 21 1.9k 1.5× 1.0k 1.2× 809 1.7× 701 2.2× 419 1.4× 71 2.3k
Larisa Nazarova Russia 28 1.4k 1.1× 616 0.8× 295 0.6× 375 1.2× 254 0.8× 93 1.7k
Klaus P. Brodersen Denmark 22 916 0.7× 1.3k 1.6× 530 1.1× 305 0.9× 146 0.5× 40 1.9k
Matti Saarnisto Finland 23 1.5k 1.1× 409 0.5× 380 0.8× 345 1.1× 243 0.8× 49 1.8k
Vlasta Jankovská Czechia 20 1.2k 0.9× 381 0.5× 88 0.2× 261 0.8× 322 1.0× 54 1.7k

Countries citing papers authored by J. M. Line

Since Specialization
Citations

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

Fields of papers citing papers by J. M. Line

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. Line. 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 J. M. Line. The network helps show where J. M. Line may publish in the future.

Co-authorship network of co-authors of J. M. Line

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

All Works

9 of 9 papers shown
1.
Lin, Chun‐Hung, et al.. (2007). SPS-ESPRIT for joint DOA and polarization estimation with a COLD array. 1136–1139. 4 indexed citations
2.
Odland, Arvid, H. J. B. Birks, & J. M. Line. (1995). Ecological optima and tolerances of Thelypteris limbosperma, Athyrium distentifolium, and Matteuccia struthiopteris along environmental gradients in Western Norway. Plant Ecology. 120(2). 115–129. 25 indexed citations
3.
Line, J. M., Cajo J. F. ter Braak, & H. J. B. Birks. (1994). WACALIB version 3.3 — a computer program to reconstruct environmental variables from fossil assemblages by weighted averaging and to derive sample-specific errors of prediction. Journal of Paleolimnology. 10(2). 147–152. 212 indexed citations
4.
Birks, H. J. B. & J. M. Line. (1992). The use of Rarefaction Analysis for Estimating Palynological Richness from Quaternary Pollen-Analytical Data. The Holocene. 2(1). 1–10. 534 indexed citations breakdown →
5.
Birks, H. J. B., et al.. (1990). Diatoms and pH reconstruction. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 327(1240). 263–278. 924 indexed citations breakdown →
6.
Odland, Arvid, H. J. B. Birks, & J. M. Line. (1990). Quantitative vegetation‐environment relationships in west norwegian tall‐fern vegetation. Nordic Journal of Botany. 10(5). 511–533. 24 indexed citations
7.
Line, J. M. & H. J. B. Birks. (1990). WACALIB version 2.1 ? a computer program to reconstruct environmental variables from fossil assemblages by weighted averaging. Journal of Paleolimnology. 3(2). 170–173. 76 indexed citations
8.
Gilbert, Francis, et al.. (1985). Morphological approaches to community structure in hoverflies (Diptera, Syrphidae). Proceedings of the Royal Society of London. Series B, Biological sciences. 224(1234). 115–130. 18 indexed citations
9.
Shackleton, Nicholas J, et al.. (1983). Carbon isotope data in core V19-30 confirm reduced carbon dioxide concentration in the ice age atmosphere. Nature. 306(5941). 319–322. 183 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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