1,720,970 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Leveraging additional VIIRS information to improve wildfire tracking in the western US
No full textSee paper publication. This dataset is the list of VIIRS known active fire and candidate fire pixels for large wildfires in the western US, 2020. Column descriptions:
longitude.
latitude.
fire_mask: value of VIIRS level-2 classification, 0-9. <7 indicates candidate fires and 7-9 indicate low, nominal, and high confidence known active fires.
confidence: "x" = candidate, "l" = low, "n" = nominal, "h" = high.
acq_date: string date of observation in format yyyy-mm-dd.
acq_time: string time of observation in format HH:MM UTC.
acq_datetime: python datetime object for date + time, UTC.
j: column index (or x-position) of the pixel in the swath, used for view zenith angle and pixel size.
vza: view zenith angle.
sza: solar zenith angle.
daynight: D or N from VIIRS L2 product.
i750: corresponding colocated i-index in the M bands.
j750: corresponding colocated j-index in the M bands.
frp: fire radiative power calculated here in this study.
frp_old: original fire radiative power calculated in the VIIRS product for known fire pixels.
dist_m13b: distance, in degrees, to the nearest known active fire pixel whose calculated background M13 radiance was used in our FRP calculation for candidate fires.
geometry: shapely geometry column of lat/lon point in parquet file.
satellite: SNPP or NOAA20.
fireid: FEDS fire ID.
startdate: FEDS fire start date.
enddate: FEDS fire end date.
name: common fire name pulled from MTBS for the largest 20 fires.Recent record-breaking fire activity in the western US poses clear threats to humans, ecosystems,
and climate. Larger and faster fires increase the challenges for fire managers and further motivate
the need for improved tracking of extreme fire behavior. There are also known limitations to our
current ability to monitor fires from space. These include infrequent coverage from moderate
resolution (≤ 1 km) sensors, smoke and cloud obscuration, omission of small or low-intensity
fires, and atmospheric attenuation of fire radiative power (FRP). These effects diminish our
ability to quantify fire behavior and emissions, including persistent burning behind the flaming
fire front, particularly in ecosystems with high fuel loads. In this study, we examined the Visible
Infrared Imaging Radiometer Suite (VIIRS) imagery and data products to assess the utility of
candidate fire pixels in addition to the low/nominal/high confidence 375-m fire detections
already included in the active fire product. We found that these candidate pixels added 45% more
daytime detections and 12% more nighttime detections for large fires in the western US 2020 fire
season. Candidate fires were highly consistent with areas of flaming and smoldering fire activity
identified by near-coincident airborne data as well as patterns of known active or candidate fires
in adjacent VIIRS overpasses, without significantly increasing false detections (commission
errors). The candidate fire detections helped fill data gaps due to cloud obscuration during large
fires that generated pyrocumulonimbus (pyroCb) clouds. Including this additional information
also impacted estimates of fire activity, increasing fire persistence by 20% and FRP by 7% across
our sample. Although the contribution from candidate fire detections to total FRP was relatively
small, including these additional pixels could provide a more consistent estimate of fire
emissions for smoke models and air quality forecasts by filling gaps in active fire information
and improving the representation of smoldering fire activity. These results demonstrate the
potential to augment the standard VIIRS product with candidate fire information for known large
fire events to improve fire tracking and downstream products. Such approaches to leverage
additional VIIRS information may be suitable for other biomass burning regions where global
fire detection algorithms provide incomplete information for specific fire types and observing
conditions.This work was supported by funding from the NASA Earth Information System (EIS) Fire
Project and the NASA Earth Science Technology Office (ESTO) FireTech and NASA Wildland
FireSense Programs. TL acknowledges support from the NOAA Climate and Global Change
Postdoctoral Fellowship Program, administered by UCAR’s Cooperative Programs for the
Advancement of Earth System Science (CPAESS) under the NOAA Science Collaboration
Program award NA21OAR4310383. JTR acknowledges support from the US DOE Office of
Science RUBISCO Science Focus Area and NASA's Modeling Analysis and Prediction program
(grant no. 80NSSC21K1362). YC and JTR acknowledge support from the US DOE LLNL-
LDRD program (grant no. DE-AC52-07NA27344 and project no. 22-ERD-008, “Multiscale
Wildfire Simulation Framework and Remote Sensing”).https://doi.org/10.1016/j.rse.2025.11515
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Using remote sensing to quantify the additional climate benefits of California forest carbon offset projects
No full textNature-based climate solutions are a vital component of many climate mitigation strategies, including California's, which aims to achieve carbon neutrality by 2045. Most carbon offsets in California's cap-and-trade program come from improved forest management projects (IFMs). Since 2012, various landowners have set up IFMs following the California Air Resources Board's IFM protocol. As many of these projects approach their tenth year, we now have the opportunity to assess their effectiveness, identify best practices, and suggest improvements toward future protocol revisions. In this study, we used remote sensing-based datasets to evaluate the carbon trends and harvest histories of 37 IFMs in California. Despite some current limitations and biases, these datasets can be used to quantify carbon accumulation and harvest rates in offset project lands relative to nearby similar "control" lands before and after the projects began. Five lines of evidence suggest that the carbon accumulated in offset projects to date has generally not been additional to what might have otherwise occurred: (1) most forests in northwestern California have been accumulating carbon since at least the mid-1980s and continue to accumulate carbon, whether enrolled in offset projects or not; (2) harvest rates were high in large timber company project lands before IFM initiation, suggesting they are earning carbon credits for forests in recovery; (3) projects are often located on lands with higher densities of low-timber-value species; (4) carbon accumulation rates have not yet increased on lands that enroll as offset projects, relative to their pre-enrollment levels; and (5) harvest rates have not decreased on most project lands since offset project initiation. These patterns suggest that the current protocol should be improved to robustly measure and reward additionality. In general, our framework of geospatial analyses offers an important and independent means to evaluate the effectiveness of the carbon offsets program, especially as these data products continue improving and as offsets receive attention as a climate mitigation strategy.Google Earth Engine
Python v3
Code also available on GitHub: https://github.com/scoffiel/carbon_offsetsFunding provided by: National Science FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000001Award Number: DGE-1839285Funding provided by: National Science FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000001Award Number: 2044937Funding provided by: National Science FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000001Award Number: 1802880Funding provided by: National Science FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000001Award Number: 2003017Funding provided by: David and Lucile Packard FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000008Award Number: Funding provided by: UCOP National Laboratory Fees Research Program*Crossref Funder Registry ID: Award Number: LFR-18-542511Funding provided by: U.S. Department of AgricultureCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000199Award Number: NIFA AFRI 2018‐67019‐27850Funding provided by: California Strategic Growth Council's Climate Change Research Program*Crossref Funder Registry ID: Award Number: Funding provided by: DOE RUBISCO*Crossref Funder Registry ID: Award Number:Data are compiled from a variety of sources in the public domain, detailed in the readme.docx. We assemble geospatial datasets for remote-sensing-estimated carbon and harvest in Google Earth Engine, extract for regions of interest (California offset projects and control regions), and generate figures comparing these datasets in Python. See "Methods" section of paper for details
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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