Energy

Top Research Topics at Energy?

The topics of Waste management, Renewable energy, Process engineering, Electricity and Mechanics are the focal point of discussions in the journal. The journal explores issues in Waste management which can be linked to other research areas like Biomass, Combustion and Environmental engineering. Renewable energy research presented in the journal encompasses a variety of subjects, including Electricity generation, Wind power, Photovoltaic system and Environmental economics.

The journal encompasses presentations on Process engineering, specifically Exergy and Exergy efficiency. The works on Mechanics deal in particular with Heat transfer. The featured Heat transfer study falls within the wider topic of Thermodynamics.

• Waste management (12.26%)
• Renewable energy (10.16%)
• Process engineering (9.15%)

What are the most cited papers published in the journal?

• Bukimi no tani [the uncanny valley] (1204 citations)
• 4th Generation District Heating (4GDH) Integrating smart thermal grids into future sustainable energy systems (1143 citations)
• Hydrothermal liquefaction of biomass: A review of subcritical water technologies (1091 citations)

Research areas of the most cited articles at Energy:

The journal articles explore disciplines such as Waste management, Renewable energy, Electricity, Environmental engineering and Process engineering. The journal articles hold forums on Waste management that merge themes from other disciplines such as Biomass and Combustion. While the journal papers focused on Renewable energy, they were also able to explore topics like Electricity generation, Wind power, Photovoltaic system and Environmental economics.

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

• World War II
• Quantum mechanics
• Mechanical engineering

The previous edition focused in particular on these issues:

The journal generally zeroes in on subjects such as Renewable energy, Process engineering, Electricity, Power (physics) and Energy (signal processing). Topics in Renewable energy were tackled in line with various other fields like Wind power, Natural resource economics, Energy storage, Photovoltaic system and Environmental economics. The Process engineering study featured in the journal draws parallels with the field of Electricity generation.

It facilitates discussions on Energy (signal processing) that incorporate concepts from other fields like Energy consumption and Mathematical optimization. It explores research in Energy consumption and the adjacent study of Efficient energy use.

The most cited articles from the last journal are:

• Designing framework of hybrid photovoltaic-biowaste energy system with hydrogen storage considering economic and technical indices using whale optimization algorithm (7 citations)
• Effect analysis on SOC values of the power lithium manganate battery during discharging process and its intelligent estimation (4 citations)
• Novel method for determining the oil moveable threshold and an innovative model for evaluating the oil content in shales (3 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.

Top authors and change over time

The top authors publishing in Energy (based on the number of publications) are:

• Boqiang Lin (76 papers) absent at the last edition,
• Ibrahim Dincer (72 papers) published 1 paper at the last edition, 9 less than at the previous edition,
• Ruzhu Wang (68 papers) published 3 papers at the last edition, 2 more than at the previous edition,
• Henrik Lund (62 papers) absent at the last edition,
• Neven Duić (60 papers) published 3 papers at the last edition, 2 less than at the previous 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Energy (based on the number of publications) are:

• Tsinghua University (512 papers) published 20 papers at the last edition, 47 less than at the previous edition,
• Chinese Academy of Sciences (501 papers) published 23 papers at the last edition, 41 less than at the previous edition,
• North China Electric Power University (436 papers) published 24 papers at the last edition, 55 less than at the previous edition,
• Shanghai Jiao Tong University (415 papers) published 20 papers at the last edition, 41 less than at the previous edition,
• Xi'an Jiaotong University (327 papers) published 23 papers at the last edition, 40 less 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 2022 edition, 10.66% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 28.44% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.26% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.64% of all publications and 52.66% 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.