Emmanuelle Conil

750 total citations
37 papers, 580 citations indexed

About

Emmanuelle Conil is a scholar working on Biophysics, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Emmanuelle Conil has authored 37 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biophysics, 21 papers in Biomedical Engineering and 18 papers in Electrical and Electronic Engineering. Recurrent topics in Emmanuelle Conil's work include Electromagnetic Fields and Biological Effects (25 papers), Wireless Body Area Networks (19 papers) and Energy Harvesting in Wireless Networks (11 papers). Emmanuelle Conil is often cited by papers focused on Electromagnetic Fields and Biological Effects (25 papers), Wireless Body Area Networks (19 papers) and Energy Harvesting in Wireless Networks (11 papers). Emmanuelle Conil collaborates with scholars based in France, Japan and Spain. Emmanuelle Conil's co-authors include Joe Wiart, M.F. Wong, Abdelhamid Hadjem, Azeddine Gati, Nadège Varsier, Serge Bories, Odile Picon, Luc Martens, Peter M. Wiedemann and Milos Tesanovic and has published in prestigious journals such as Technometrics, Environment International and IEEE Access.

In The Last Decade

Emmanuelle Conil

35 papers receiving 556 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emmanuelle Conil France 14 386 331 279 80 44 37 580
Abdelhamid Hadjem France 14 575 1.5× 487 1.5× 350 1.3× 96 1.2× 33 0.8× 33 791
David Lautru France 12 165 0.4× 245 0.7× 269 1.0× 27 0.3× 29 0.7× 45 453
Sam Aerts Belgium 16 484 1.3× 211 0.6× 501 1.8× 143 1.8× 8 0.2× 51 721
Paul Bechet Romania 11 169 0.4× 125 0.4× 221 0.8× 31 0.4× 67 325
O. Egger Switzerland 7 68 0.2× 80 0.2× 87 0.3× 4 0.1× 16 324
Dina Šimunić Croatia 11 28 0.1× 97 0.3× 216 0.8× 2 0.0× 79 456
Travis Perry United States 5 53 0.1× 42 0.1× 91 0.3× 6 0.1× 1 0.0× 14 240
Justin S. J. Wong United Kingdom 11 46 0.1× 59 0.2× 256 0.9× 4 0.1× 27 383
P. Lemmerling Belgium 11 9 0.0× 72 0.2× 35 0.1× 2 0.0× 8 0.2× 17 325
Ryan Elliott United States 14 40 0.1× 33 0.1× 383 1.4× 3 0.0× 1 0.0× 38 543

Countries citing papers authored by Emmanuelle Conil

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuelle Conil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuelle Conil

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

All Works

20 of 20 papers shown
1.
2.
Conil, Emmanuelle, et al.. (2024). Extensive 5G measurement campaign to monitor EMF exposure in France. Comptes Rendus Physique. 25(S1). 63–73. 1 indexed citations
3.
Wang, Shanshan, et al.. (2024). Assessment of EMF Exposure Induced by Wireless Cellular Phones in Various Usage Scenarios in France. IEEE Access. 13. 123743–123755. 2 indexed citations
4.
Conil, Emmanuelle, et al.. (2024). Monitoring of the exposure to electromagnetic fields with autonomous probes installed outdoors in France. Comptes Rendus Physique. 25(S1). 41–61. 3 indexed citations
5.
Calderón, Carolina, Gemma Castaño‐Vinyals, Myron Maslanyj, et al.. (2022). Estimation of RF and ELF dose by anatomical location in the brain from wireless phones in the MOBI-Kids study. Environment International. 163. 107189–107189. 10 indexed citations
6.
Moulines, Éric, et al.. (2016). Supplementary Material: Sequential Design of Computer Experiments for the Assessment of Fetus Exposure to Electromagnetic Fields. Technometrics. 58.
7.
Varsier, Nadège, et al.. (2014). Analysis of the influence of handset phone position on RF exposure of brain tissue. Bioelectromagnetics. 35(8). 568–579. 16 indexed citations
8.
Conil, Emmanuelle, Nadège Varsier, Abdelhamid Hadjem, et al.. (2014). Exposure index of EU project LEXNET: principles and simulation-based computation. Ghent University Academic Bibliography (Ghent University). 3029–3032. 6 indexed citations
9.
Tesanovic, Milos, Emmanuelle Conil, Antonio De Domenico, et al.. (2014). The LEXNET Project: Wireless Networks and EMF: Paving the Way for Low-EMF Networks of the Future. IEEE Vehicular Technology Magazine. 9(2). 20–28. 52 indexed citations
10.
Calderón, Carolina, Myron Maslanyj, Emmanuelle Conil, et al.. (2013). Assessment of extremely low frequency magnetic field exposure from GSM mobile phones. Bioelectromagnetics. 35(3). 210–221. 14 indexed citations
11.
Varsier, Nadège, et al.. (2013). Study of the influence of the laterality of mobile phone use on the SAR induced in two head models. Comptes Rendus Physique. 14(5). 418–424. 8 indexed citations
12.
Wiart, Joe, et al.. (2013). Handle variability in numerical exposure assessment: The Challenge of the Stochastic Dosimetry. European Conference on Antennas and Propagation. 1979–1981. 14 indexed citations
13.
Conil, Emmanuelle, et al.. (2013). Simplified pregnant woman models for the fetus exposure assessment. Comptes Rendus Physique. 14(5). 412–417. 2 indexed citations
14.
Hirata, Akimasa, Ilkka Laakso, Kwok Hung Chan, et al.. (2012). Estimation of the whole-body averaged SAR of grounded human models for plane wave exposure at respective resonance frequencies. Physics in Medicine and Biology. 57(24). 8427–8442. 16 indexed citations
15.
Conil, Emmanuelle, Abdelhamid Hadjem, Azeddine Gati, et al.. (2011). A new approach to assess the Specific Absorption Rate induced by multiple plane waves at 2.1 GHz. European Conference on Antennas and Propagation. 2589–2592. 2 indexed citations
16.
Wiart, Joe, Abdelhamid Hadjem, Nadège Varsier, & Emmanuelle Conil. (2011). Numerical dosimetry dedicated to children RF exposure. Progress in Biophysics and Molecular Biology. 107(3). 421–427. 19 indexed citations
17.
Conil, Emmanuelle, et al.. (2010). Whole body exposure at 2100 MHz induced by plane wave of random incidences in a population. Comptes Rendus Physique. 11(9-10). 531–540. 4 indexed citations
18.
Conil, Emmanuelle, Abdelhamid Hadjem, M.F. Wong, et al.. (2010). Statistical analysis of whole-body absorption depending on anatomical human characteristics at a frequency of 2.1 GHz. Physics in Medicine and Biology. 55(7). 1875–1887. 30 indexed citations
19.
Hadjem, Abdelhamid, Emmanuelle Conil, Azeddine Gati, M.F. Wong, & Joe Wiart. (2010). Analysis of Power Absorbed by Children's Head as a Result of New Usages of Mobile Phone. IEEE Transactions on Electromagnetic Compatibility. 52(4). 812–819. 31 indexed citations
20.
Conil, Emmanuelle, et al.. (2008). Variability analysis of SAR from 20 MHz to 2.4 GHz for different adult and child models using finite-difference time-domain. Physics in Medicine and Biology. 53(6). 1511–1525. 140 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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