This map shows the geographic impact of I. Antonenko'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 I. Antonenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Antonenko more than expected).
This network shows the impact of papers produced by I. Antonenko. 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 I. Antonenko. The network helps show where I. Antonenko may publish in the future.
Co-authorship network of co-authors of I. Antonenko
This figure shows the co-authorship network connecting the top 25 collaborators of I. Antonenko.
A scholar is included among the top collaborators of I. Antonenko 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 I. Antonenko. I. Antonenko is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Antonenko, I., et al.. (2013). Effects of Incidence Angle on Crater Detection and the Lunar Ioschron System: Preliminary Results from the CosmoQuest MoonMappers Citizen Science Project. Lunar and Planetary Science Conference. 2705.1 indexed citations
3.
Antonenko, I.. (2013). Re-Examining the Identification of Dark-Haloed Impact Craters: New Criteria for Modern Data Sets. Lunar and Planetary Science Conference. 2607.2 indexed citations
Antonenko, I.. (2012). Leathery Texture in the Bose, Bhabha, and Stoney Crater Region of South Pole-Aitken Basin on the Moon. 2581.3 indexed citations
6.
Antonenko, I., et al.. (2012). Cataloging the Moon with the CosmoQuest Moon Mappers Citizen Science Project. Lunar and Planetary Science Conference. 2856.3 indexed citations
Antonenko, I. & G. R. Osinski. (2010). Automated Detection of Basalt Spectra in Clementine Lunar Data. 2237.1 indexed citations
10.
Osinski, G. R., I. Antonenko, Timothy D. Barfoot, et al.. (2010). An Analogue Mission in Support of MoonRise and Other Sample Return Missions to the South Pole-Aitken Basin. LPICo. 1595. 50.2 indexed citations
11.
Osinski, G. R., et al.. (2009). Multispectral Study of the Schrödinger Impact Basin. LPI. 2009(1533). 2542.1 indexed citations
12.
Cooper, B. L., I. Antonenko, Atsushi Kumamoto, et al.. (2008). Mare Imbrium Subsurface Structure as Revealed by Radar Sounder Data. LPICo. 1415(1415). 2060.1 indexed citations
13.
Antonenko, I. & R. A. Yingst. (2002). Mare and Cryptomare Deposits in the Schickard Region of the Moon: New Measurements Using Clementine FeO Data. LPI. 1438.8 indexed citations
Antonenko, I., et al.. (1997). Results of Experimental Dark Halo Crater Studies: Implications for Lunar Cryptomare Thickness Measurements. LPI. 45.2 indexed citations
16.
Antonenko, I., J. W. Head, & C. M. Pieters. (1997). Cryptomare Delineations Using Craters as Probes to Lunar Stratigraphy: Use of Multispectral Clementine Data as a Tool. 47.1 indexed citations
17.
Antonenko, I. & J. W. Head. (1995). Estimates of Cryptomare Thickness and Volume in Schiller-Schickard, Mare Humorum and Oceanus Procellarum Areas. Lunar and Planetary Science Conference. 26. 47.4 indexed citations
Antonenko, I. & J. W. Head. (1994). Cryptomaria in the Schiller-Schickard, Mare Humorum and Western Oceanus Procellarum Areas: Studies Using Dark-Halo Craters. LPI. 35.5 indexed citations
20.
Head, J. W., John F. Mustard, I. Antonenko, & B. R. Hawke. (1993). Modes of formation of lunar light plains and the detection of cryptomaria deposits. NASA Technical Reports Server (NASA). 629.2 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.