| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 490 | 6 | 15 | 4 |
The journal tackles a plethora of topics, such as Artificial intelligence, Computer vision, Control theory, Wireless sensor network and Computer network. While work presented in the journal provided substantial information on Artificial intelligence, it also covered topics in Machine learning and Pattern recognition. It connects the study in Control theory with the closely related area of Control engineering.
International Journal on Smart Sensing and Intelligent Systems addresses concerns in Wireless sensor network which are intertwined with other disciplines, such as Key distribution in wireless sensor networks and Real-time computing.
The most cited articles focus largely on the fields of Control engineering, Artificial intelligence, Control theory, Wireless sensor network and Computer vision. The most cited publications are mostly focused on Control engineering, specifically Control theory. The most cited papers about Enhanced Data Rates for GSM Evolution, Matching (graph theory) and Image (mathematics) research are fields of study within Artificial intelligence but they also intertwine with concepts in Line (geometry).
The journal is organized to address concerns in the fields of Artificial intelligence, Computer vision, Computer network, Structural engineering and Underwater vehicle. The research on Artificial intelligence discussed in International Journal on Smart Sensing and Intelligent Systems draws on the closely related field of Machine learning. International Journal on Smart Sensing and Intelligent Systems facilitates discussions on Computer vision that incorporate concepts from other fields like Wheelchair and Machine interface.
The Computer network works featured in the journal incorporate elements from The Internet and Noma. The Underwater vehicle study featured in International Journal on Smart Sensing and Intelligent Systems draws connections with the study of Automotive engineering.
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 International Journal on Smart Sensing and Intelligent Systems (based on the number of publications) are:
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 International Journal on Smart Sensing and Intelligent Systems (based on the number of publications) are:
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.
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, 12.50% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.43% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.43% of all publications and 57.14% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Alice James;Avishkar Seth;Subhas C. Mukhopadhyay
(2020)Avishkar Seth;Alice James;Subhas C. Mukhopadhyay
(2020)Maciej Trawka;Janusz Smulko;Lech Hasse;Radu Ionescu
(2020)Janusz Smulko;Maciej Trawka;Radu Ionescu;Fatima E. Annanouch
(2020)Rohan Ibn Azad;Subhas Mukhopadhyay;Mohsen Asadnia
(2021)Hatim G. Abood;Victor Sreeram;Yateendra Mishra
(2020)Krzysztof Krogulski;Mateusz Śmietana;Bartosz Michalak;Anna K. Dębowska
(2020)Eoin O’Connell;Sinead O’Keeffe;Thomas Newe;Elfed Lewis
(2020)Wayne Holmes;Mirjana Bogosanovic;G.W. Emms;S.C. Mukhopadhyay
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