Amir Tahmasbi

572 total citations
18 papers, 398 citations indexed

About

Amir Tahmasbi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics. According to data from OpenAlex, Amir Tahmasbi has authored 18 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 4 papers in Biophysics. Recurrent topics in Amir Tahmasbi's work include AI in cancer detection (7 papers), Image Retrieval and Classification Techniques (7 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). Amir Tahmasbi is often cited by papers focused on AI in cancer detection (7 papers), Image Retrieval and Classification Techniques (7 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). Amir Tahmasbi collaborates with scholars based in Iran, United States and United Kingdom. Amir Tahmasbi's co-authors include Shahriar B. Shokouhi, Forough Saki, Jorge G. Hirsch, Hamid Soltanian‐Zadeh, Raimund J. Ober, E. Sally Ward, Sripad Ram, Jerry Chao, Zhiping Lin and Padmakar V. Kulkarni and has published in prestigious journals such as Optics Express, IEEE Signal Processing Magazine and Solid State Communications.

In The Last Decade

Amir Tahmasbi

18 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amir Tahmasbi Iran	10	168	148	86	53	50	18	398
Hongrun Zhang China	11	190 1.1×	207 1.4×	137 1.6×	23 0.4×	16 0.3×	26	502
Simone Bonechi Italy	10	123 0.7×	96 0.6×	52 0.6×	37 0.7×	26 0.5×	32	314
M. Günhan Ertosun United States	9	102 0.6×	173 1.2×	171 2.0×	29 0.5×	13 0.3×	13	451
Amit Suveer Sweden	6	312 1.9×	38 0.3×	45 0.5×	73 1.4×	39 0.8×	9	465
Rickard Sjögren Sweden	9	55 0.3×	66 0.4×	97 1.1×	119 2.2×	66 1.3×	23	390
D. Vijayalakshmi India	11	167 1.0×	68 0.5×	110 1.3×	8 0.2×	7 0.1×	27	421
Richard L. Van Metter United States	10	120 0.7×	52 0.4×	249 2.9×	10 0.2×	94 1.9×	25	588
Chensi Cao China	7	50 0.3×	124 0.8×	101 1.2×	31 0.6×	117 2.3×	8	575
Kexin Deng China	10	199 1.2×	57 0.4×	154 1.8×	15 0.3×	5 0.1×	27	399
Hongfeng Ma China	12	249 1.5×	95 0.6×	58 0.7×	8 0.2×	36 0.7×	35	482

Countries citing papers authored by Amir Tahmasbi

Since Specialization

Citations

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

Fields of papers citing papers by Amir Tahmasbi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Tahmasbi

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Tahmasbi. A scholar is included among the top collaborators of Amir Tahmasbi 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 Amir Tahmasbi. Amir Tahmasbi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Tahmasbi, Amir, E. Sally Ward, & Raimund J. Ober. (2015). Determination of localization accuracy based on experimentally acquired image sets: applications to single molecule microscopy. Optics Express. 23(6). 7630–7630. 9 indexed citations

Tahmasbi, Amir, et al.. (2015). An information-theoretic approach to designing the plane spacing for multifocal plane microscopy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9330. 933011–933011. 1 indexed citations

Ober, Raimund J., Amir Tahmasbi, Sripad Ram, Zhiping Lin, & E. Sally Ward. (2014). Quantitative Aspects of Single-Molecule Microscopy: Information-theoretic analysis of single-molecule data. IEEE Signal Processing Magazine. 32(1). 58–69. 14 indexed citations

Tahmasbi, Amir, et al.. (2014). Designing the focal plane spacing for multifocal plane microscopy. Optics Express. 22(14). 16706–16706. 19 indexed citations

Swiercz, Rafal, Amir Tahmasbi, Saleh Ramezani, et al.. (2014). Use of Fc-Engineered Antibodies as Clearing Agents to Increase Contrast During PET. Journal of Nuclear Medicine. 55(7). 1204–1207. 24 indexed citations

Saki, Forough, Amir Tahmasbi, Hamid Soltanian‐Zadeh, & Shahriar B. Shokouhi. (2012). Fast opposite weight learning rules with application in breast cancer diagnosis. Computers in Biology and Medicine. 43(1). 32–41. 52 indexed citations

Tahmasbi, Amir, et al.. (2012). Classification of Breast Masses based on Cognitive Resonance. International Journal of Computer and Electrical Engineering. 283–287. 2 indexed citations

Tahmasbi, Amir, Forough Saki, & Shahriar B. Shokouhi. (2011). Classification of benign and malignant masses based on Zernike moments. Computers in Biology and Medicine. 41(8). 726–735. 165 indexed citations

Tahmasbi, Amir, et al.. (2011). A novel breast mass diagnosis system based on Zernike moments as shape and density descriptors. 100–104. 8 indexed citations

10.

Tahmasbi, Amir, Forough Saki, & Shahriar B. Shokouhi. (2011). CWLA: A novel cognitive classifier for breast mass diagnosis. 13. 255–259. 7 indexed citations

11.

Saki, Forough, Amir Tahmasbi, & Shahriar B. Shokouhi. (2010). A novel opposition-based classifier for mass diagnosis in mammography images. 15. 1–4. 12 indexed citations

12.

Mirzakuchaki, Sattar, et al.. (2010). Using Symlet Decomposition Method, Fuzzy Integral and Fisherface Algorithm for Face Recognition. 83–88. 1 indexed citations

13.

Tahmasbi, Amir, Forough Saki, & Shahriar B. Shokouhi. (2010). An effective breast mass diagnosis system using Zernike moments. 31. 1–4. 12 indexed citations

14.

Tahmasbi, Amir & Shahriar B. Shokouhi. (2010). New Optimized IIR Low-Pass Differentiators. 205–209. 4 indexed citations

15.

Tahmasbi, Amir, Forough Saki, & Shahriar B. Shokouhi. (2010). Mass diagnosis in mammography images using novel FTRD features. 31. 1–5. 13 indexed citations

16.

Tahmasbi, Amir & Jorge G. Hirsch. (1980). Transit pulse dispersion in PVK. Solid State Communications. 34(2). 75–78. 25 indexed citations

17.

Hirsch, Jorge G. & Amir Tahmasbi. (1980). Trap-free lifetime in hopping systems: Neutral traps in PVK. Solid State Communications. 34(2). 79–81. 7 indexed citations

18.

Tahmasbi, Amir, et al.. (1979). Tests of a trap-controlled hopping model for PVK. Solid State Communications. 29(12). 847–850. 23 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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