Johanna Torppa

900 total citations
28 papers, 542 citations indexed

About

Johanna Torppa is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Johanna Torppa has authored 28 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Astronomy and Astrophysics, 7 papers in Artificial Intelligence and 6 papers in Aerospace Engineering. Recurrent topics in Johanna Torppa's work include Astro and Planetary Science (15 papers), Planetary Science and Exploration (11 papers) and Geochemistry and Geologic Mapping (7 papers). Johanna Torppa is often cited by papers focused on Astro and Planetary Science (15 papers), Planetary Science and Exploration (11 papers) and Geochemistry and Geologic Mapping (7 papers). Johanna Torppa collaborates with scholars based in Finland, Germany and Czechia. Johanna Torppa's co-authors include M. Kaasalainen, J. Piironen, K. Muinonen, Tadeusz Michałowski, T. Kwiatkowski, A. Kryszczyńska, R. A. Kowalski, Vesa Nykänen, Ferenc Molnár and Jari P. T. Valkonen and has published in prestigious journals such as Astronomy and Astrophysics, Remote Sensing and Icarus.

In The Last Decade

Johanna Torppa

28 papers receiving 520 citations

Peers

Johanna Torppa

ECOLO

Michele Dami Italy

Jianjun Liu China

R. Deen United States

J. Warell Sweden

Xingguo Zeng China

Michael Mommert United States

Wen Yi China

M. J. Lynch Australia

James F. Bell United States

Toru Kouyama Japan

Michele Dami Italy

Johanna Torppa

318 ×0.8

86 ×1.1

66 ×0.9

31 ×0.4

123 ×2.4

ECOLO

Citations per year, relative to Johanna Torppa Johanna Torppa (= 1×) peers Michele Dami

Countries citing papers authored by Johanna Torppa

Since Specialization

Citations

This map shows the geographic impact of Johanna Torppa'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 Johanna Torppa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johanna Torppa more than expected).

Fields of papers citing papers by Johanna Torppa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johanna Torppa. 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 Johanna Torppa. The network helps show where Johanna Torppa may publish in the future.

Co-authorship network of co-authors of Johanna Torppa

This figure shows the co-authorship network connecting the top 25 collaborators of Johanna Torppa. A scholar is included among the top collaborators of Johanna Torppa 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 Johanna Torppa. Johanna Torppa 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

Farahnakian, Fahimeh, et al.. (2024). A Comparative Study of Machine Learning Models for Pixel-Wise Acid Mine Drainage Classification Using Sentinel-2. 2127–2131. 2 indexed citations

Hamedianfar, Alireza, et al.. (2023). Leveraging High-Resolution Long-Wave Infrared Hyperspectral Laboratory Imaging Data for Mineral Identification Using Machine Learning Methods. Remote Sensing. 15(19). 4806–4806. 9 indexed citations

Chudasama, Bijal, et al.. (2022). Target-scale prospectivity modeling for gold mineralization within the Rajapalot Au-Co project area in northern Fennoscandian Shield, Finland. Part 2: Application of self-organizing maps and artificial neural networks for exploration targeting. Ore Geology Reviews. 147. 104936–104936. 6 indexed citations

Chudasama, Bijal, et al.. (2022). Target-scale prospectivity modeling for gold mineralization within the Rajapalot Au-Co project area in northern Fennoscandian Shield, Finland. Part 1: Application of knowledge-driven- and machine learning-based-hybrid- expert systems for exploration targeting and addressing model-based uncertainties. Ore Geology Reviews. 147. 104937–104937. 9 indexed citations

Muinonen, K., Johanna Torppa, X.-B. Wang, A. Cellino, & Antti Penttilä. (2020). Asteroid lightcurve inversion with Bayesian inference. Astronomy and Astrophysics. 642. A138–A138. 19 indexed citations

Airola, Antti, Jonne Pohjankukka, Johanna Torppa, et al.. (2018). The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers. Data Mining and Knowledge Discovery. 33(3). 730–747. 15 indexed citations

Virtanen, Jenni, Tero Säntti, Johanna Torppa, et al.. (2017). Streak Detection and Analysis Pipeline for Space-debris Optical Images. Työväentutkimus Vuosikirja. 1 indexed citations

Virtanen, Jenni, Tim Flohrer, K. Muinonen, et al.. (2014). StreakDet data processing and analysis pipeline for space debris optical observations. 40. 2 indexed citations

Virtanen, Jenni, Mikael Granvik, Johanna Torppa, et al.. (2014). Streak detection and analysis pipeline for optical images. 570. 1 indexed citations

10.

Torppa, Johanna, et al.. (2008). Asteroid shape and spin statistics from convex models. Icarus. 198(1). 91–107. 25 indexed citations

11.

Torppa, Johanna. (2007). Lightcurve inversion for asteroid spins and shapes. Työväentutkimus Vuosikirja. 2 indexed citations

12.

Muinonen, K., Johanna Torppa, Jenni Virtanen, et al.. (2006). Spins, shapes, and orbits for near-Earth objects by Nordic NEON. Proceedings of the International Astronomical Union. 2(S236). 309–320. 1 indexed citations

13.

Torppa, Johanna, Jari P. T. Valkonen, & K. Muinonen. (2006). Three-dimensional Stochastic Shape Modelling for Potato Tubers. Potato Research. 49(2). 109–118. 17 indexed citations

14.

Torppa, Johanna & K. Muinonen. (2005). Statistical Inversion of Gaia Photometry for Asteroid Spins and Shapes. ESASP. 576. 321. 4 indexed citations

15.

Muinonen, K., Jenni Virtanen, Johanna Torppa, et al.. (2004). Physical and Dynamical Characterization of Near-Earth Objects by the NEON Program. elib (German Aerospace Center). 1 indexed citations

16.

Hestroffer, Daniel, Pascal Descamps, M. Kaasalainen, et al.. (2002). Comparison of topographic models for asteroids to the HST/FGS data. ESASP. 500. 493–496. 3 indexed citations

17.

Kaasalainen, M., Johanna Torppa, & J. Piironen. (2002). Binary structures among large asteroids. Astronomy and Astrophysics. 383(3). L19–L22. 22 indexed citations

18.

Piironen, J., C. I. Lagerkvist, Johanna Torppa, M. Kaasalainen, & B. Warner. (2001). Standard Asteroid Photometric Catalogue. 33. 4 indexed citations

19.

Kaasalainen, M., Johanna Torppa, & K. Muinonen. (2000). Asteroid Periods, Poles, and Shapes from Lightcurves. 32. 1 indexed citations

20.

Kaasalainen, M. & Johanna Torppa. (1999). Optimization methods for asteroid lightcurve inversion. DPS. 31. 1586. 83 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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