This map shows the geographic impact of D. Takir'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 D. Takir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Takir more than expected).
This network shows the impact of papers produced by D. Takir. 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 D. Takir. The network helps show where D. Takir may publish in the future.
Co-authorship network of co-authors of D. Takir
This figure shows the co-authorship network connecting the top 25 collaborators of D. Takir.
A scholar is included among the top collaborators of D. Takir 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 D. Takir. D. Takir is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Takir, D., K. T. Howard, K. R. Stockstill‐Cahill, et al.. (2020). Spectroscopy and Mineralogy of Aguas Zarcas. Lunar and Planetary Science Conference. 2533.2 indexed citations
Kitazato, K., R. E. Milliken, Takahiro Iwata, et al.. (2019). Asteroid 162173 Ryugu: Surface composition as observed by Hayabusa2/NIRS3. 2019.
8.
Vervack, Ronald J., E. S. Howell, Y. R. Fernández, et al.. (2019). Thermophysical Modeling of (3200) Phaethon Using a Radar/Lightcurve Shape and Constrained by Infrared Observations with SpeX at NASA/IRTF. 2189. 2128.1 indexed citations
9.
Hanna, R. D., V. E. Hamilton, C. W. Haberle, et al.. (2019). What is the Hydrated Phase on Bennu's Surface?. 2189. 2029.1 indexed citations
10.
Takir, D., et al.. (2018). Asteroid Reconnaissance for Researching Organics and Water in the Solar System (ARROWS2): A Deep Space SmallSat Mission (Concept) to Primitive Asteroids. Lunar and Planetary Science Conference. 2754.1 indexed citations
11.
Nakauchi, Yusuke, D. Takir, C. A. Hibbitts, et al.. (2018). Reflectance Spectra of Carbonaceous Chondrites Measured Under Asteroid-Like Conditions: Implications for Hayabusa2's NIRS3 Instrument. Lunar and Planetary Science Conference. 1850.
12.
Goodrich, C. A., E. A. Cloutis, D. M. Applin, et al.. (2018). Effects of Space Weathering on Reflectance Spectra of Ureilites: First Studies. Lunar and Planetary Science Conference. 1579.1 indexed citations
Takir, D., V. Reddy, Juan A. Sanchez, Michael K. Shepard, & J. P. Emery. (2017). Investigating the Source of Water and/or Hydroxyl on Asteroid (16) Psyche. AGUFM. 2017.
15.
Lucas, Michael P., J. P. Emery, & D. Takir. (2012). Dunites In The Sky? VNIR Spectra Of Six Suspected A-class Asteroids. 44.3 indexed citations
16.
Clark, R. N., Neil Pearson, D. Takir, et al.. (2012). Nano-Iron on Outer Solar System Satellites, Implications for Space Weathering. AGU Fall Meeting Abstracts. 2012.1 indexed citations
17.
Takir, D. & H. Y. McSween. (2011). Degree of Aqueous Alteration in Six CM/CI Carbonaceous Chondrites. Meteoritics and Planetary Science Supplement. 74. 5027.1 indexed citations
18.
Takir, D., J. P. Emery, & H. Y. McSween. (2011). Outer Main Belt Asteroids: Identification and Distribution of Four Spectral Groups. LPI. 1182.1 indexed citations
19.
Reddy, V. Krishna, Michael S. P. Kelley, Joshua P. Emery, et al.. (2008). Composition of 298 Baptistina: Implications for K-T Impactor Link. 1405. 8243.3 indexed citations
20.
Reddy, V., et al.. (2008). Physical Characterization of First Triplet Near-Earth Asteroid (153591) 2001 SN263. LPICo. 1405. 8244.3 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.