| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 167 | 52 | 71 | 21 |
| Mechanical and Aerospace Engineering | 282 | 20 | 30 | 9 |
The main research concerns discussed in Journal of Field Robotics are Artificial intelligence, Food science, Robot, Computer vision and Robotics. Artificial intelligence research featured in it incorporates concerns from various other topics such as Terrain and Global Positioning System. It features works in Food science, more specifically Fermentation, and explores their relation to disciplines like Ascorbic acid.
The studies in Mobile robot under the umbrella field of Robot overlap with concepts in Field (computer science).
The most cited publications are organized to reinforce research efforts on Artificial intelligence, Robot, Computer vision, Robotics and Simulation. While Artificial intelligence is the focus of the journal publications, it also provides insights into the studies of Terrain, Global Positioning System and Human–computer interaction. The most cited articles facilitate discussions in Mobile robot and Motion planning as part of the larger field of Robot, however, they also tackle fields such as Field (computer science).
Journal of Field Robotics is organized to address concerns in the fields of Artificial intelligence, Food science, Real-time computing, Computer vision and Robot. Artificial intelligence works presented in the journal have a specific focus on Convolutional neural network. While Food science is the focus of the journal, it also provided insights into the studies of DPPH, Polyphenol and Antioxidant.
Journal of Field Robotics facilitates discussions on Real-time computing that incorporate concepts from other fields like Lidar and Underwater. It focuses on Computer vision as well as the interrelated topic of Data set. The Robot works featured in Journal of Field Robotics incorporate elements from Mechanical engineering and State (computer science).
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 Journal of Field Robotics (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 Journal of Field Robotics (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, 34.12% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.29% were posted by at least one author from the top 10 institutions publishing in the journal. Another 1.79% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.07% of all publications and 67.86% 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.
Tung Dang;Marco Tranzatto;Shehryar Masaud Khan Khattak;Frank Mascarich
(2020)Xiaolong Wu;Stéphanie Aravecchia;Philipp Lottes;Cyrill Stachniss
(2020)Juraj Kabzan;Miguel de la Iglesia Valls;Victor J. F. Reijgwart;Hubertus Franciscus Cornelis Hendrikx
(2020)Christopher Lehnert;Chris McCool;Inkyu Sa;Tristan Perez
(2020)Philipp Lottes;Jens Behley;Nived Chebrolu;Andres Milioto
(2020)Helen Oleynikova;Christian Lanegger;Zachary Taylor;Michael Pantic
(2020)Tobias Klamt;Max Schwarz;Christian Lenz;Lorenzo Baccelliere
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