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Enregistrement W4288709732 · doi:10.1002/jnm.3052

Welcome to the New Editor‐in‐Chief

2022· article· en· W4288709732 sur OpenAlexaboutno aff
Giovanni Crupi

Notice bibliographique

RevueInternational Journal of Numerical Modelling Electronic Networks Devices and Fields · 2022
Typearticle
Langueen
DomaineDecision Sciences
ThématiqueScientific Computing and Data Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGratitudeHonorPleasurePublishingEditorial boardEditor in chiefAssociate editorLibrary scienceManagementMedia studiesPolitical scienceSociologyPsychologyComputer scienceLaw

Résumé

récupéré en direct d'OpenAlex

It is my great pleasure and honor to have been appointed as the new Editor-in-Chief of the International Journal of Numerical Modelling: Electronic Networks, Devices and Fields (IJNM), starting from July 2022. IJNM is a Wiley journal with 35 years of tradition behind it, with its first issue published in March 1988. My involvement with IJNM dates back to 2012, when I was appointed Associate Editor. After 10 years of being part of this great Editorial Team and working in different roles (i.e., Associate Editor, Editor, and Senior Editor), I now feel ready to lead our beloved journal moving forward and to raise IJNM's profile to the next level, following the formidable footsteps of my outstanding predecessors. Working very closely with Prof. Eric Michielssen (University of Michigan, USA) at first and then with Prof. Jianming Jin (University of Illinois, USA) was truly a formative, delightful, and inspiring experience for me. Day after day, I have learned a lot by serving our journal under their leadership and guidance. My heartfelt thanks and gratitude go to Eric and Jianming! Nowadays, we are in the midst of a publishing revolution that is leading to profound transformations in the scientific publishing mission, market, and strategies. We are witnessing profound transformations, from the exponential growth of emerging technologies to the global transition toward open access to make research openly and freely available. We all know that this is an exciting and challenging time to work at the forefront of wisely and effectively shaping the future of our journal, whose success is based on teamwork. IJNM is very healthy and in very good shape, with the journal's highest Impact Factor to date: 1.436 in 2021, breaking the previous record of 1.296 set in 2020. This provides a solid foundation for growing and going forward. The position of Editor-in-Chief is a pivotal and stimulating role in which I can contribute in a more impactful way to the advancement of our journal, working together with a great team of Editorial Board Members, Authors, Reviewers, our Readership, the Journal Publishing Manager, Annabelle Lacey, and the entire Wiley staff to successfully meet IJNM's scope for the benefit of humankind, driven by the Wiley's mission of unlocking the human potential. In closing, there is no better way to describe IJNM's scope than by quoting the conclusive words of the first editorial published in the March 1988 issue by our Founder Editors, Peter B. Johns (University of Nottingham, UK) and Wolfgang J. R. Hoefer (University of Ottawa, Canada): “This journal is devoted to the art of numerical modelling. It is not restricted to a single application area, but rather covers the whole spectrum of electrical and electronic engineering. It sets out to bring together the expertise of modellers, so that modelling techniques developed in one area can be used to nucleate ideas in another.” Giovanni Crupi received a M.Sc. in Electronic Engineering (cum laude) and a Ph.D. from the University of Messina, Italy, in 2003 and in 2006, respectively. Since 2005, he has been a repeat Visiting Scientist with KU Leuven and IMEC, Leuven, Belgium. Currently, he is an Associate Professor with the University of Messina, Italy, where he teaches/taught Fundamentals of Electronics, Microwave Electronics, Wireless Technologies, Optoelectronics, and Bioengineering. His main research interests include the characterization and modeling of microwave transistors for wireless applications, as well as that of microwave sensors for bioengineering applications. He has authored or coauthored more than 200 publications in international journals and conferences. He has coedited two books published by Elsevier Academic Press: “Microwave De-embedding: From Theory To Applications” (Oxford, UK, 2013) and “Microwave Wireless Communications: From Transistor to System Level” (Oxford, UK, 2016). Dr. Crupi is Editor-in-Chief of the Wiley International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, and also Associate Editor of the journals IEEE Access and Wiley International Journal of RF and Microwave Computer-Aided Engineering. He was Guest Editor of four special issues: two in the IEEE Transactions on Microwave Theory and Techniques (in 2014 and 2016) and two in the Wiley International Journal of Numerical Modelling: Electronic Networks, Devices and Fields (in 2014 and 2021). He serves as TPC Member of the IEEE INMMiC, TELSIKS, ICTA, and MMS conferences and was also TPC Chair of the IEEE INMMiC in 2014 and 2015. Since 2012, he is the Chair of the IEEE MTT-S Graduate Fellowship program, which is one of the longest continuing education-related activities of the IEEE MTT-S and awards up to 12 Annual Fellowships (each in the amount of 6000$ plus 1000$ to attend the IEEE MTT-S IMS in USA) to encourage future leaders and key technical contributors in their pursuit of careers in RF and microwave engineering.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,990
Score d'incertitude au seuil0,311

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0020,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,038
Tête enseignante GPT0,328
Écart entre enseignants0,290 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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