J. Vincent‐Geisse

69 total papers · 501 total citations
50 papers, 402 citations indexed

About

J. Vincent‐Geisse is a scholar working on Spectroscopy, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, J. Vincent‐Geisse has authored 50 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Spectroscopy, 19 papers in Atomic and Molecular Physics, and Optics and 9 papers in Biomedical Engineering. Recurrent topics in J. Vincent‐Geisse's work include Spectroscopy and Laser Applications (13 papers), Spectroscopy and Quantum Chemical Studies (12 papers) and Molecular Spectroscopy and Structure (10 papers). J. Vincent‐Geisse is often cited by papers focused on Spectroscopy and Laser Applications (13 papers), Spectroscopy and Quantum Chemical Studies (12 papers) and Molecular Spectroscopy and Structure (10 papers). J. Vincent‐Geisse collaborates with scholars based in France. J. Vincent‐Geisse's co-authors include E. Cohen de Lara, C. Dreyfus, Walter G. Rothschild, J.A. Ladd, J.P. Perchard, Alain Grosjean, Jacques Leclerc, Danielle Beaulieu, S. Odiot and Anna Migdał‐Mikuli and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry and Chemical Physics Letters.

In The Last Decade

J. Vincent‐Geisse

47 papers receiving 352 citations

Author Peers

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

Author						Papers	Cites
J. Vincent‐Geisse	221	216	74	72	68	50	402
J. Leland Hollenberg	210 1.0×	211 1.0×	37 0.5×	39 0.5×	87 1.3×	25	436
Z. Kȩcki	191 0.9×	225 1.0×	100 1.4×	27 0.4×	72 1.1×	37	414
Jessica P. Porterfield	129 0.6×	133 0.6×	61 0.8×	69 1.0×	58 0.9×	20	366
E. G. Tarakanova	225 1.0×	210 1.0×	53 0.7×	32 0.4×	90 1.3×	63	441
Zeke A. Piskulich	74 0.3×	194 0.9×	36 0.5×	89 1.2×	101 1.5×	27	407
C. Vaucamps	99 0.4×	228 1.1×	54 0.7×	64 0.9×	122 1.8×	24	366
N. Meinander	249 1.1×	304 1.4×	19 0.3×	51 0.7×	54 0.8×	27	432
L. D. Ziegler	155 0.7×	253 1.2×	21 0.3×	45 0.6×	52 0.8×	73	408
K.G.P. Sulzmann	146 0.7×	90 0.4×	43 0.6×	44 0.6×	55 0.8×	41	364
K. Song	108 0.5×	107 0.5×	28 0.4×	37 0.5×	140 2.1×	20	362

Countries citing papers authored by J. Vincent‐Geisse

Since Specialization

Citations

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

Fields of papers citing papers by J. Vincent‐Geisse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Vincent‐Geisse. 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. Vincent‐Geisse. The network helps show where J. Vincent‐Geisse may publish in the future.

Co-authorship network of co-authors of J. Vincent‐Geisse

This figure shows the co-authorship network connecting the top 25 collaborators of J. Vincent‐Geisse. A scholar is included among the top collaborators of J. Vincent‐Geisse 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. Vincent‐Geisse. J. Vincent‐Geisse 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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