IEEE Transactions on Engineering Management

Top Research Topics at IEEE Transactions on Engineering Management?

The journal mainly deals with areas of study such as Knowledge management, Marketing, Process (engineering), Industrial organization and New product development. In addition to Knowledge management research, IEEE Transactions on Engineering Management aims to explore topics under Context (language use), Project management and Information system. The majority of Project management studies presented zero in on Project management triangle.

Most of the works presented in the journal deals with Industrial organization but it intersects with the subject of Supply chain. The studies in New product development featured incorporate elements of Product design, Product (category theory) and Process management.

• Knowledge management (20.37%)
• Marketing (14.23%)
• Process (engineering) (11.28%)

What are the most cited papers published in the journal?

• Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings (2542 citations)
• The design structure system: A method for managing the design of complex systems (1422 citations)
• Applying the design structure matrix to system decomposition and integration problems: a review and new directions (1255 citations)

Research areas of the most cited articles at IEEE Transactions on Engineering Management:

The journal articles are organized to address concerns in the fields of Knowledge management, Marketing, New product development, Project management and Process (engineering). Context (language use), Strategic planning and Information system are some topics wherein Knowledge management research discussed in the most cited publications has an impact. The journal papers deal with Project management in conjunction with Process management and similar fields in Operations management.

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 IEEE Transactions on Engineering Management (based on the number of publications) are:

• Rajiv Sabherwal (33 papers) absent at the last edition,
• Alok K. Chakrabarti (19 papers) absent at the last edition,
• Peter E.D. Love (14 papers) published 4 papers at the last edition, 1 more than at the previous edition,
• Tsan-Ming Choi (14 papers) published 5 papers at the last edition, 3 more than at the previous edition,
• Elias G. Carayannis (14 papers) published 8 papers at the last edition, 6 more 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 IEEE Transactions on Engineering Management (based on the number of publications) are:

• National University of Singapore (54 papers) published 5 papers at the last edition, 4 more than at the previous edition,
• George Washington University (44 papers) published 12 papers at the last edition, 2 more than at the previous edition,
• Michigan State University (43 papers) published 2 papers at the last edition, 2 less than at the previous edition,
• Massachusetts Institute of Technology (43 papers) published 1 paper at the last edition, 4 less than at the previous edition,
• Xi'an Jiaotong University (40 papers) published 6 papers at the last edition, 3 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 2021 edition, 28.13% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 11.18% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.29% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.87% of all publications and 75.66% 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.

Educational Affiliations of Top Authors

Further delving into the data, we find some revealing information when we investigate the academic backgrounds of the most prolific authors. These insights can be particularly useful for those looking to advance their own research careers and seek inspiration from successful academicians in the field.

The majority of the leading authors associated with IEEE Transactions on Engineering Management are affiliated with esteemed universities, renowned for their engineering or business management programs. For example, Rajiv Sabherwal, who has published 33 papers in the journal, is a distinguished professor at the Walton College of Business, University of Arkansas.

Similarly, Alok K. Chakrabarti, with 19 papers, is a respected adjunct professor at the top 5 business schools in Maine.

These affiliations indicate that these authors are fastened with the latest trends, researches, and developments in the engineering management field, making the works published in IEEE Transactions on Engineering Management incredibly valuable for those invested in related disciplines.