Eeva Boman

619 total citations
30 papers, 464 citations indexed

About

Eeva Boman is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Eeva Boman has authored 30 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiation, 16 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Eeva Boman's work include Advanced Radiotherapy Techniques (25 papers), Breast Cancer Treatment Studies (10 papers) and Medical Imaging Techniques and Applications (9 papers). Eeva Boman is often cited by papers focused on Advanced Radiotherapy Techniques (25 papers), Breast Cancer Treatment Studies (10 papers) and Medical Imaging Techniques and Applications (9 papers). Eeva Boman collaborates with scholars based in Finland, New Zealand and South Africa. Eeva Boman's co-authors include Mika Kapanen, M Rossi, Tanja Skyttä, Pirkko‐Liisa Kellokumpu‐Lehtinen, Vesa Virtanen, Pekka Raatikainen, Suvi Tuohinen, Jani Tervo, Marko Vauhkonen and Jarkko Ojala and has published in prestigious journals such as Physics in Medicine and Biology, Radiotherapy and Oncology and Mutation research. Fundamental and molecular mechanisms of mutagenesis.

In The Last Decade

Eeva Boman

28 papers receiving 451 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Eeva Boman Finland	14	315	225	170	168	92	30	464
Christopher L. Williams United States	12	258 0.8×	363 1.6×	33 0.2×	298 1.8×	182 2.0×	34	614
Vladimir A. Semenenko United States	8	481 1.5×	422 1.9×	64 0.4×	481 2.9×	17 0.2×	12	701
Jens Christensen Denmark	10	137 0.4×	130 0.6×	271 1.6×	110 0.7×	90 1.0×	15	517
Joseph H. Killoran United States	17	562 1.8×	543 2.4×	142 0.8×	393 2.3×	13 0.1×	52	860
C. Fiandra Italy	17	718 2.3×	474 2.1×	38 0.2×	493 2.9×	61 0.7×	62	918
Alanah Bergman Canada	14	471 1.5×	429 1.9×	55 0.3×	323 1.9×	17 0.2×	50	661
G. Guidi Italy	13	138 0.4×	236 1.0×	40 0.2×	118 0.7×	11 0.1×	35	388
Lasse Rye Aarup Denmark	6	439 1.4×	300 1.3×	141 0.8×	304 1.8×	40 0.4×	8	518
Chee‐Wai Cheng United States	12	443 1.4×	288 1.3×	94 0.6×	298 1.8×	7 0.1×	20	619
Robin Wijsman Netherlands	13	291 0.9×	257 1.1×	46 0.3×	322 1.9×	8 0.1×	43	489

Countries citing papers authored by Eeva Boman

Since Specialization

Citations

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

Fields of papers citing papers by Eeva Boman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eeva Boman

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

Rossi, M, et al.. (2024). Dosimetric consequences of adapting the craniocaudal isocenter distance to daily patient position in craniospinal irradiation using volumetric modulated arc therapy. Journal of Applied Clinical Medical Physics. 26(1). e14530–e14530.

Ojala, Jarkko, et al.. (2023). Validation of HDR brachytherapy doses in the treatment of keloid scars using the egs_brachy Monte Carlo application. Physics in Medicine and Biology. 68(8). 84003–84003. 1 indexed citations

Rossi, M, Tuomas Virén, Janne Heikkilä, Jan Seppälä, & Eeva Boman. (2020). The robustness of VMAT radiotherapy for breast cancer with tissue deformations. Medical dosimetry. 46(1). 86–93. 14 indexed citations

Boman, Eeva, et al.. (2020). The robustness of prostate radiotherapy for patients with hip prosthesis. Medical dosimetry. 46(3). 212–218. 2 indexed citations

Rossi, M, Eeva Boman, & Mika Kapanen. (2018). Optimal selection of optimization bolus thickness in planning of VMAT breast radiotherapy treatments. Medical dosimetry. 44(3). 266–273. 20 indexed citations

Boman, Eeva, Jarkko Ojala, M Rossi, & Mika Kapanen. (2018). Monte Carlo investigation on the effect of air gap under bolus in post-mastectomy radiotherapy. Physica Medica. 55. 82–87. 26 indexed citations

Rossi, M, Eeva Boman, & Mika Kapanen. (2018). Contralateral tissue sparing in lymph node-positive breast cancer radiotherapy with VMAT technique. Medical dosimetry. 44(2). 117–121. 13 indexed citations

Boman, Eeva, et al.. (2017). The validity of Acuros BV and TG-43 for high-dose-rate brachytherapy superficial mold treatments. Brachytherapy. 16(6). 1280–1288. 20 indexed citations

Boman, Eeva, M Rossi, & Mika Kapanen. (2017). The robustness of dual isocenter VMAT radiation therapy for bilateral lymph node positive breast cancer. Physica Medica. 44. 11–17. 17 indexed citations

10.

Fogliata, Antonella, Michele Zeverino, Eeva Boman, et al.. (2017). Dosimetric evaluation of modern radiation therapy techniques for left breast in deep-inspiration breath-hold. Physica Medica. 45. 82–87. 22 indexed citations

11.

Boman, Eeva, et al.. (2017). Importance of deformable image registration and biological dose summation in planning of radiotherapy retreatments. Medical dosimetry. 42(4). 296–303. 16 indexed citations

12.

Boman, Eeva, et al.. (2016). A new split arc VMAT technique for lymph node positive breast cancer. Physica Medica. 32(11). 1428–1436. 37 indexed citations

13.

Skyttä, Tanja, Suvi Tuohinen, Eeva Boman, et al.. (2015). Troponin T-release associates with cardiac radiation doses during adjuvant left-sided breast cancer radiotherapy. Radiation Oncology. 10(1). 141–141. 107 indexed citations

14.

Korkalainen, Merja, Eeva Boman, Janne Heikkilä, et al.. (2014). Dose- and time-dependent changes of micronucleus frequency and gene expression in the progeny of irradiated cells: Two components in radiation-induced genomic instability?. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 765. 32–39. 8 indexed citations

15.

Ruotsalainen, Henri, et al.. (2009). Nonlinear Interactive Multiobjective Optimization Method for Radiotherapy Treatment Planning with Boltzmann Transport Equation. Contemporary Engineering Sciences. 2(9). 391–422. 14 indexed citations

16.

Tervo, Jani, Marko Vauhkonen, & Eeva Boman. (2007). Optimal control model for radiation therapy inverse planning applying the Boltzmann transport equation. Linear Algebra and its Applications. 428(5-6). 1230–1249. 11 indexed citations

17.

Ruotsalainen, Henri, Eeva Boman, Kaisa Miettinen, & Jari Hämäläinen. (2006). Interactive Multiobjective Optimization for IMRT. Aaltodoc (Aalto University). 1 indexed citations

18.

Boman, Eeva, Jani Tervo, & Marko Vauhkonen. (2004). Modelling the transport of ionizing radiation using the finite element method. Physics in Medicine and Biology. 50(2). 265–280. 24 indexed citations

19.

Boman, Eeva, et al.. (2003). Simulations for inverse radiation therapy treatment planning using a dynamic MLC algorithm. Physics in Medicine and Biology. 48(7). 925–942. 4 indexed citations

20.

Tervo, Jani, Tiina Lyyra‐Laitinen, Pekka Kolmonen, & Eeva Boman. (2002). An inverse treatment planning model for intensity modulated radiation therapy with dynamic MLC. Applied Mathematics and Computation. 135(2-3). 227–250. 9 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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