Jovan M. Tadić

1.0k total citations
44 papers, 669 citations indexed

About

Jovan M. Tadić is a scholar working on Global and Planetary Change, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Jovan M. Tadić has authored 44 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Global and Planetary Change, 28 papers in Atmospheric Science and 7 papers in Artificial Intelligence. Recurrent topics in Jovan M. Tadić's work include Atmospheric and Environmental Gas Dynamics (25 papers), Atmospheric chemistry and aerosols (22 papers) and Atmospheric Ozone and Climate (15 papers). Jovan M. Tadić is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (25 papers), Atmospheric chemistry and aerosols (22 papers) and Atmospheric Ozone and Climate (15 papers). Jovan M. Tadić collaborates with scholars based in United States, Serbia and Germany. Jovan M. Tadić's co-authors include G. K. Moortgat, A. M. Michalak, Ivan O. Juranić, E. L. Yates, Sébastien Biraud, M. Loewenstein, Laura T. Iraci, Vineet Yadav, Scot M. Miller and Klaus Wirtz and has published in prestigious journals such as Environmental Science & Technology, Geophysical Research Letters and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Jovan M. Tadić

43 papers receiving 653 citations

Peers

Jovan M. Tadić

GPC

HTM

SPECT

Sourish Basu United States

Sachiko Hayashida Japan

Elizabeth A. Pillar-Little United States

K. R. Verhulst United States

Armin Jordan Germany

B. R. Greally United Kingdom

G. Mills United Kingdom

Zigang Wei United States

Patricia Lang United States

Sourish Basu United States

Jovan M. Tadić

1.3k ×3.0

GPC

970 ×2.4

81 ×0.7

61 ×0.8

HTM

54 ×0.9

SPECT

Citations per year, relative to Jovan M. Tadić Jovan M. Tadić (= 1×) peers Sourish Basu

Countries citing papers authored by Jovan M. Tadić

Since Specialization

Citations

This map shows the geographic impact of Jovan M. Tadić's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jovan M. Tadić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jovan M. Tadić more than expected).

Fields of papers citing papers by Jovan M. Tadić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jovan M. Tadić. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jovan M. Tadić. The network helps show where Jovan M. Tadić may publish in the future.

Co-authorship network of co-authors of Jovan M. Tadić

This figure shows the co-authorship network connecting the top 25 collaborators of Jovan M. Tadić. A scholar is included among the top collaborators of Jovan M. Tadić based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jovan M. Tadić. Jovan M. Tadić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tadić, Jovan M., et al.. (2024). Hybrid Machine Learning and Geostatistical Methods for Gap Filling and Predicting Solar-Induced Fluorescence Values. Remote Sensing. 16(10). 1707–1707. 2 indexed citations

Tadić, Jovan M., et al.. (2023). Morphological variability of Sorbus domestica L. fruits and seeds in the Mediterranean part of Croatia. Acta Horticulturae. 505–512. 1 indexed citations

Liu, Xiaoling, Jovan M. Tadić, Marikate Mountain, et al.. (2021). Data reduction for inverse modeling: an adaptive approach v1.0. Geoscientific model development. 14(7). 4683–4696. 6 indexed citations

Tadić, Jovan M., Scot M. Miller, Vineet Yadav, & Sébastien Biraud. (2021). Greenhouse gas fluxes from Alaska's North Slope inferred from the Airborne Carbon Measurements campaign (ACME-V). Atmospheric Environment. 248. 118239–118239. 4 indexed citations

Tadić, Jovan M. & Sébastien Biraud. (2020). Effects of Climate Change on Precipitation and the Maximum Daily Temperature (Tmax) at Two US Military Bases with Different Present-Day Climates. Climate. 8(2). 18–18. 3 indexed citations

Tadić, Jovan M. & Sébastien Biraud. (2020). Identification of Bias in Satellite Measurements Using its Geospatial Properties. IEEE Geoscience and Remote Sensing Letters. 18(12). 2077–2081. 1 indexed citations

Tadić, Jovan M., et al.. (2019). Towards Hyper-Dimensional Variography Using the Product-Sum Covariance Model. Atmosphere. 10(3). 148–148. 4 indexed citations

Ryoo, Ju‐Mee, Laura T. Iraci, T. Tanaka, et al.. (2019). Quantification of CO ₂ and CH ₄ emissions over Sacramento, California, based on divergence theorem using aircraft measurements. Atmospheric measurement techniques. 12(5). 2949–2966. 16 indexed citations

Tadić, Jovan M. & Sébastien Biraud. (2018). An Approach to Estimate Atmospheric Greenhouse Gas Total Columns Mole Fraction from Partial Column Sampling. Atmosphere. 9(7). 247–247. 4 indexed citations

10.

Feldman, Daniel, William D. Collins, Sébastien Biraud, et al.. (2018). Observationally derived rise in methane surface forcing mediated by water vapour trends. Nature Geoscience. 11(4). 238–243. 37 indexed citations

11.

Miller, Scot M., A. M. Michalak, Vineet Yadav, & Jovan M. Tadić. (2018). Characterizing biospheric carbon balance using CO ₂ observations from the OCO-2 satellite. Atmospheric chemistry and physics. 18(9). 6785–6799. 27 indexed citations

12.

Luo, Xiangzhong, Trevor F. Keenan, Joshua B. Fisher, et al.. (2018). The impact of the 2015/2016 El Niño on global photosynthesis using satellite remote sensing. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1760). 20170409–20170409. 30 indexed citations

13.

Tadić, Jovan M., et al.. (2017). Spatio-temporal approach to moving window block kriging of satellite data v1.0. Geoscientific model development. 10(2). 709–720. 32 indexed citations

14.

Uzelac, Branka, et al.. (2017). Phenol removal from solution using different varieties of lettuce (Lactuca sativa L.) – Part 1. Scientia Horticulturae. 231. 210–218. 4 indexed citations

15.

Tadić, Jovan M., et al.. (2015). Mapping of satellite Earth observations using moving window block kriging. Geoscientific model development. 8(10). 3311–3319. 27 indexed citations

16.

Milošević, Snežana, et al.. (2014). Effect of phenol on germination capacity and polyphenol oxidase, peroxidase and catalase activities in lettuce. Archives of Biological Sciences. 66(4). 1503–1514. 6 indexed citations

17.

Yates, E. L., Laura T. Iraci, M. Roby, et al.. (2013). Airborne observations and modeling of springtime stratosphere-to-troposphere transport over California. Atmospheric chemistry and physics. 13(24). 12481–12494. 35 indexed citations

18.

Yates, E. L., Angela M. Detweiler, Laura T. Iraci, et al.. (2012). Assessing the role of alkaline soils on the carbon cycle at a playa site. Environmental Earth Sciences. 70(3). 1047–1056. 34 indexed citations

19.

Yates, E. L., et al.. (2011). Carbon Dioxide and Methane at a Desert Site—A Case Study at Railroad Valley Playa, Nevada, USA. Atmosphere. 2(4). 702–714. 8 indexed citations

20.

Jensen, N. R., Kai Wirtz, Jovan M. Tadić, et al.. (2001). Studies of the photolysis of pyruvic acid: Products and mechanism. Max Planck Institute for Plasma Physics. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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