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Infrared Physics and Technology
H-index 28

Infrared Physics and Technology

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Physics 221 7 21 8
Electronics and Electrical Engineering 276 56 91 13

Additional Metrics

Number of Best Scientists*: 341
Documents by Best Scientists*: 486
Top 100 Ranked Scientists*: 5
SCIMAGO H-index: 92
SCIMAGO SJR: 0.595
Impact Factor: 3.4

Overview

Top Research Topics at Infrared Physics & Technology?

The primary areas of discussion in Infrared Physics & Technology are Optics, Optoelectronics, Infrared, Artificial intelligence and Laser. Infrared Physics & Technology covers various topics on Optics such as Wavelength, Detector, Thermography, Emissivity and Radiation. In the journal, Nondestructive testing and Thermal are investigated in conjunction with one another to address concerns in Thermography research.

Optoelectronics study tackled is connected to the field of Quantum well. The work on Infrared tackled in it brings together disciplines like Remote sensing and Infrared spectroscopy, Analytical chemistry. The Artificial intelligence works featured in the journal incorporate elements from Computer vision and Pattern recognition.

Issues in Photodetector were discussed, taking into consideration concepts from other disciplines like Quantum well infrared photodetector and Infrared detector.

  • Optics (39.43%)
  • Optoelectronics (23.54%)
  • Infrared (23.44%)

What are the most cited papers published in the journal?

  • The Free-Electron-Laser user facility FELIX (613 citations)
  • Medical applications of infrared thermography: A review. (587 citations)
  • Infrared detectors: an overview (517 citations)

Research areas of the most cited articles at Infrared Physics & Technology:

The journal articles investigate studies in Optics, Infrared, Artificial intelligence, Thermography and Optoelectronics. The Optics research tackled in the journal papers is interrelated with Analytical chemistry which concerns subjects like Thin film. The works on Optoelectronics tackled in the most cited articles bring together disciplines like Quantum well and Bolometer.

What topics the last edition of the journal is best known for?

  • Quantum mechanics
  • Optics
  • Artificial intelligence

The previous edition focused in particular on these issues:

Infrared Physics & Technology tackles a plethora of topics, such as Artificial intelligence, Optics, Laser, Infrared and Optoelectronics. The research on Artificial intelligence featured in the journal combines topics in other fields like Computer vision and Pattern recognition. Convolutional neural network and Hyperspectral imaging are all subfields of Pattern recognition research that were featured in Infrared Physics & Technology.

The journal facilitates discussions on Laser that incorporate concepts from other fields like Power (physics) and Pulse (physics). Infrared Physics & Technology holds forums on Infrared that merges themes from other disciplines such as Thermal, Composite material, Emissivity and Detector. Most of the Optoelectronics studies addressed also intersect with Fiber.

The most cited articles from the last journal are:

  • ISTDet: An efficient end-to-end neural network for infrared small target detection (5 citations)
  • Very high-resolution synchrotron radiation far-infrared (FIR) spectrum of methanol‑D2 (CHD2OH) & millimeter-wave (MMW) measurements involving highly excited torsional vibrational rotational states, and identification of optically pumped FIR laser lines (5 citations)
  • Infrared and visible image fusion based on weighted variance guided filter and image contrast enhancement (4 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Infrared Physics & Technology (based on the number of publications) are:

  • Sarath D. Gunapala (39 papers) absent at the last edition,
  • H. C. Liu (35 papers) absent at the last edition,
  • Sanjay Krishna (28 papers) absent at the last edition,
  • Ling Lin (28 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Cory J. Hill (24 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Infrared Physics & Technology (based on the number of publications) are:

  • Chinese Academy of Sciences (268 papers) published 27 papers at the last edition, 10 less than at the previous edition,
  • Harbin Institute of Technology (117 papers) published 12 papers at the last edition, 7 less than at the previous edition,
  • Huazhong University of Science and Technology (76 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • Nanjing University of Science and Technology (74 papers) published 8 papers at the last edition, 1 less than at the previous edition,
  • Tianjin University (68 papers) published 13 papers at the last edition, 1 more than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 9.03% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.53% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.74% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.54% of all publications and 53.19% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • A fast RetinaNet fusion framework for multi-spectral pedestrian detection

    Dashun Pei;Mingxuan Jing;Huaping Liu;Fuchun Sun

    (2020)
    42 Citations
  • Investigating the effect of laser cutting parameters on the cut quality of Inconel 625 using Response Surface Method (RSM)

    (2021)
    39 Citations
  • An improved DualGAN for near-infrared image colorization

    Wei Liang;Derui Ding;Guoliang Wei

    (2021)
    29 Citations
  • Terahertz imaging and vibro-thermography for impact response in carbon fiber reinforced plastics

    Jian Xu;Hongjin Wang;Yuxia Duan;Yunze He

    (2020)
    24 Citations
  • Generation of Kelly and dip type sidebands soliton employing Topological insulator (Bi2Te3) as saturable absorber

    (2022)
    23 Citations
  • Recent trends in 8-14 µm type-II superlattice infrared detectors

    Dominic Kwan;Manoj Kesaria;Ezekiel Anyebe Anyebe;Diana Huffaker

    (2021)
    21 Citations
  • TCPMFNet: An infrared and visible image fusion network with composite auto encoder and transformer–convolutional parallel mixed fusion strategy

    (2022)
    21 Citations
  • Ensemble tensor decomposition for infrared thermography cracks detection system

    Junru Song;Bin Gao;Wai Lok Woo;Gui Yun Tian

    (2020)
    19 Citations
  • High performance InAs/InAsSb Type-II superlattice mid-wavelength infrared photodetectors with double barrier

    Donghai Wu;Jiakai Li;Arash Dehzangi;Manijeh Razeghi

    (2020)
    18 Citations

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Best Scientists Contributing to This Journal